US6744813B1
Expired / Lapsed
US
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System and method for estimating noise characteristics in the presence of non-stationary noise
Assignee: SUMMIT Tech SYSTEMS LP
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Filing: 2000-04-14
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Granted: 2004-06-01
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Expires: 2020-04-14
Abstract
Abstract A thresholding noise estimator detects and samples an error signal during a sampling period. When the magnitude of a noise sample, also known as an error sample, is at least equal to a predefined threshold, the power of that error sample is calculated. At the end of the sampling period, the computed powers of the error samples (only those data samples having a magnitude at least equal to the predefined threshold) are averaged. This average power corresponds to an error indicator which quantitatively indicates the power for that portion(s) of an error signal which is at least equal to the threshold. Alternative embodiments provide for magnitude hysteresis, time hysteresis, or both magnitude and time hysteresis in the determination of an error indicator. Also, alternative embodiments provide for adding the power of the peak error sample to the average power in the determination of an error indicator, or, provide for adding an interleaved average peak power to the average power in the determination of an error indicator.
Inventors
- 👤 Ken Ko
- 👤 William Betts
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-28 10:36
CPC Classifications
H; H04; H04M; H04M3/00; H04M3/22; H04M3/26; H04M3/28; H04M3/30; H04B; H04B3/00; H04B3/02; H04B3/46; H04M3/18
Claims Analysis
Total Claims: 74
Claim 1
Independent Claim
107 words
A method for estimating error in an input signal, the method comprising the steps of: measuring a magnitude of a plurality of data samples from said input signal; defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; calculating a power for each one of said plurality of error samples; and specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 2
Independent Claim
107 words
A method for estimating error in an input signal, the method comprising the steps of: measuring a magnitude of a plurality of data samples from said input signal; defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; calculating a power for each one of said plurality of error samples; and specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 3
Dependent Claim
29 words
The method of claim 1 , wherein said specifying step specifies said error indicator corresponding to the root mean square (RMS) magnitude of the error in said input signal.
Claim 4
Dependent Claim
55 words
The method of claim 1 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 5
Dependent Claim
101 words
The method of claim 1 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said magnitudes.
Claim 6
Dependent Claim
46 words
The method of claim 1 , wherein the step of defining said data sample as said error sample continues for a predetermined period of time after said magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 7
Dependent Claim
55 words
The method of claim 5 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 8
Dependent Claim
102 words
The method of claim 5 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 9
Dependent Claim
47 words
The method of claim 1 , wherein the step of defining said data sample as said error sample continues for a predetermined number of data samples after said magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 10
Dependent Claim
55 words
The method of claim 8 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 11
Dependent Claim
102 words
The method of claim 8 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 12
Dependent Claim
50 words
The method of claim 1 , wherein the step of defining said data sample as an error sample continues after said magnitude of said input signal decreases from at least equal to said first threshold to below a second threshold, wherein said second threshold is less than said first threshold.
Claim 13
Dependent Claim
55 words
The method of claim 11 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 14
Dependent Claim
102 words
The method of claim 11 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 15
Dependent Claim
71 words
The method of claim 1 , wherein the step of defining said data sample as an error sample continues after said magnitude of said input signal decreases from at least equal to said first threshold to below a second threshold, and then for a predetermined period of time after said magnitude of said input signal decreases below said second threshold, and wherein said second threshold is less than said first threshold.
Claim 16
Dependent Claim
55 words
The method of claim 14 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 17
Dependent Claim
102 words
The method of claim 14 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 18
Dependent Claim
47 words
The method of claim 1 , wherein said defining step defines as an error sample each one of said plurality of data samples when the power of said data sample is at least equal to said first threshold, such that said plurality of error samples are defined.
Claim 19
Dependent Claim
55 words
The method of claim 17 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 20
Dependent Claim
101 words
The method of claim 17 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said magnitudes.
Claim 21
Dependent Claim
46 words
The method of claim 17 , wherein the step of defining said data sample as said error sample continues for a predetermined period of time after said power of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 22
Dependent Claim
55 words
The method of claim 20 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 23
Dependent Claim
102 words
The method of claim 20 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 24
Dependent Claim
47 words
The method of claim 17 , wherein the step of defining said data sample as said error sample continues for a predetermined number of data samples after said power of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 25
Dependent Claim
55 words
The method of claim 23 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 26
Dependent Claim
102 words
The method of claim 23 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 27
Dependent Claim
50 words
The method of claim 17 , wherein the step of defining said data sample as an error sample continues after said power of said input signal decreases from at least equal to said first threshold to below a second threshold, wherein said second threshold is less than said first threshold.
Claim 28
Dependent Claim
55 words
The method of claim 26 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 29
Dependent Claim
102 words
The method of claim 26 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 30
Dependent Claim
71 words
The method of claim 17 , wherein the step of defining said data sample as an error sample continues after said power of said input signal decreases from at least equal to said first threshold to below a second threshold, and then for a predetermined period of time after said power of said input signal decreases below said second threshold, and wherein said second threshold is less than said first threshold.
Claim 31
Dependent Claim
55 words
The method of claim 29 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 32
Dependent Claim
102 words
The method of claim 29 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said magnitude for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 33
Independent Claim
110 words
A system for estimating error in an input signal, comprising: means for measuring the magnitude of a plurality of data samples from said input signal; means for defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; means for calculating a power for each one of said plurality of error samples; and means for specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 34
Independent Claim
110 words
A system for estimating error in an input signal, comprising: means for measuring the magnitude of a plurality of data samples from said input signal; means for defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; means for calculating a power for each one of said plurality of error samples; and means for specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 35
Dependent Claim
30 words
The system of claim 32 , wherein said means for specifying specifies said error indicator corresponding to the root mean square (RMS) magnitude of the error in said input signal.
Claim 36
Dependent Claim
60 words
The system of claim 32 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 37
Dependent Claim
108 words
The system of claim 32 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 38
Dependent Claim
46 words
The system of claim 32 , wherein the means for defining said data sample as said error sample continues for a predetermined period of time after said magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 39
Dependent Claim
60 words
The system of claim 36 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 40
Dependent Claim
108 words
The system of claim 36 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 41
Dependent Claim
47 words
The system of claim 32 , wherein said means for defining said data sample as said error sample continues for a predetermined number of data samples after said magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 42
Dependent Claim
60 words
The system of claim 39 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 43
Dependent Claim
108 words
The system of claim 39 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 44
Dependent Claim
50 words
The system of claim 32 , wherein said means for defining said data sample as an error sample continues after said magnitude of said input signal decreases from at least equal to said first threshold to below a second threshold, wherein said second threshold is less than said first threshold.
Claim 45
Dependent Claim
60 words
The system of claim 42 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 46
Dependent Claim
108 words
The system of claim 42 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 47
Dependent Claim
71 words
The system of claim 32 , wherein said means for defining said data sample as an error sample continues after said magnitude of said input signal decreases from at least equal to said first threshold to below a second threshold, and then for a predetermined period of time after said magnitude of said input signal decreases below said second threshold, and wherein said second threshold is less than said first threshold.
Claim 48
Dependent Claim
60 words
The system of claim 45 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 49
Dependent Claim
108 words
The system of claim 45 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 50
Dependent Claim
48 words
The system of claim 32 , wherein said means for defining defines as an error sample each one of said plurality of data samples when the power of said data sample is at least equal to said first threshold, such that said plurality of error samples are defined.
Claim 51
Dependent Claim
60 words
The system of claim 48 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 52
Dependent Claim
109 words
The system of claim 48 , wherein said means for defining further comprises the a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 53
Dependent Claim
46 words
The system of claim 48 , wherein the means for defining said data sample as said error sample continues for a predetermined period of time after said power of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 54
Dependent Claim
60 words
The system of claim 51 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 55
Dependent Claim
108 words
The system of claim 51 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 56
Dependent Claim
47 words
The system of claim 48 , wherein said means for defining said data sample as said error sample continues for a predetermined number of data samples after said power of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 57
Dependent Claim
60 words
The system of claim 54 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 58
Dependent Claim
108 words
The system of claim 54 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 59
Dependent Claim
50 words
The system of claim 48 , wherein said means for defining said data sample as an error sample continues after said power of said input signal decreases from at least equal to said first threshold to below a second threshold, wherein said second threshold is less than said first threshold.
Claim 60
Dependent Claim
60 words
The system of claim 57 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 61
Dependent Claim
108 words
The system of claim 57 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 62
Dependent Claim
71 words
The system of claim 48 , wherein said means for defining said data sample as an error sample continues after said power of said input signal decreases from at least equal to said first threshold to below a second threshold, and then for a predetermined period of time after said power of said input signal decreases below said second threshold, and wherein said second threshold is less than said first threshold.
Claim 63
Dependent Claim
60 words
The system of claim 60 , wherein said means for defining further includes a means for identifying a peak error sample such that said peak error sample has the greatest magnitude of said plurality of error samples, and wherein said means for specifying specifies said error indicator corresponding to said average power and said magnitude of said peak error sample.
Claim 64
Dependent Claim
108 words
The system of claim 60 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest magnitude of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said magnitude for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said peak magnitudes.
Claim 65
Dependent Claim
120 words
A computer readable medium having a program for storing a series of instructions for estimating error in an input signal, the program for performing at least the following: measuring the magnitude of a plurality of data samples from said input signal; defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; calculating a power for each one of said plurality of error samples; and specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 66
Dependent Claim
120 words
A computer readable medium having a program for storing a series of instructions for estimating error in an input signal, the program for performing at least the following: measuring the magnitude of a plurality of data samples from said input signal; defining as an error sample each one of said plurality of data samples when the magnitude of said data sample is at least equal to a first threshold, such that a plurality of error samples are defined; calculating a power for each one of said plurality of error samples; and specifying an error indicator, said error indicator corresponding to an average of said calculated powers, wherein said error indicator represents the power of the error in said input signal.
Claim 67
Dependent Claim
48 words
A computer readable medium of claim 63 , wherein the step of defining said data sample as said error sample continues for a predetermined period of time after a magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 68
Dependent Claim
49 words
A computer readable medium of claim 63 , wherein the step of defining said data sample as said error sample continues for a predetermined number of data samples after a magnitude of said input signal decreases from at least equal to said first threshold to below said first threshold.
Claim 69
Dependent Claim
52 words
A computer readable medium of claim 63 , wherein the step of defining said data sample as an error sample continues after said magnitude of said input signal decreases from at least equal to said first threshold to below a second threshold, wherein said second threshold is less than said first threshold.
Claim 70
Dependent Claim
50 words
A computer readable medium of claim 63 , wherein the series of instructions defines as an error sample each one of said plurality of data samples when the power of said data sample is at least equal to said first threshold, such that said plurality of error samples are defined.
Claim 71
Dependent Claim
55 words
The method of claim 1 , wherein said defining step further includes identifying a peak error sample such that said peak error sample has the greatest power of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said power of said peak error sample.
Claim 72
Dependent Claim
115 words
The method of claim 1 , wherein said defining step further comprises the steps of interleaving said plurality of error samples into a predetermined plurality of sample subsets and identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest power of said error samples in each one of said plurality of sample subsets, and wherein said calculating step further calculates said power for each said peak error sample, and wherein said specifying step specifies said error indicator corresponding to said average power and an average of said powers of said peak error samples in each one of said plurality of sample subsets.
Claim 73
Dependent Claim
56 words
The system of claim 32 , wherein said means for defining further includes identifying a peak error sample such that said peak error sample has the greatest power of said plurality of error samples, and wherein said specifying step specifies said error indicator corresponding to said average power and said power of said peak error sample.
Claim 74
Dependent Claim
121 words
The system of claim 32 , wherein said means for defining further comprises a means for interleaving said plurality of error samples into a predetermined plurality of sample subsets and a means for identifying a peak error sample for each one of said plurality of sample subsets such that said peak error sample has the greatest power of said error samples in each one of said plurality of sample subsets, and wherein said means for calculating further calculates said power for each said peak error sample, and wherein said means for specifying specifies said error indicator corresponding to said average power and an average of said powers of said peak error samples in each one of said plurality of sample subsets.
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