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EP0496677A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

Adaptive equalizers

Assignee: Fujitsu Ltd
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Filing: 1992-01-22
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Granted: —
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Expires: 2012-01-22
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Abstract

Abstract The present inventions relate to adaptive equalizers for detecting characteristics of a transmission line in radio and cable communications and for equalizing received signals by using the detected results. An object of the present inventions is to provide a function for equalizing not only linear distortion but also nonlinear distortion in accordance with variation of characteristics of the transmission line. An adaptive equalizer comprises a characteristic detection means 11 for detecting real part and imaginary parts of a transfer function by using an output signal corresponding to an input signal of an object to be equalized to compensate for deterioration, for example a transmission line; and an equalizing means 12 for equalizing an output signal of the object to be equalized 10 in accordance with an unknown input signal by using the detected result of the characteristic detection means 11.

Inventors

  • 👤 Takashi C/O Fujitsu Limited Kimoto
  • 👤 Yoshinori c/o FUJITSU LIMITED Yaginuma
  • 👤 Kazuo c/o FUJITSU LIMITED Asakawa
  • 👤 Shigemi C/O Fujitsu Limited Nagata

Bibliographic Details

Application Number —
Jurisdiction EP
Data Source google_patents
Last Synchronized 2026-11-07 13:28
CPC Classifications
H; H04; H04L; H04L25/00; H04L25/02; H04L25/03; H04L25/03006; H04L25/03165; H04L2025/03433; H04L2025/03439; H04L2025/03445; H04L2025/03464

Claims Analysis

Total Claims: 36
Claim 1
Independent Claim 81 words
An adaptive equalizer, comprising: characteristic detection means (11) for detecting a characteristic of an object to be equalized (10) by using an output signal corresponding to a known input signal, of said object to be equalized (10), so that a deterioration of the output signal is compensated; and equalizing means (12) for equalizing an output signal of said object to be equalized (10) in accordance with an unknown input signal by using the detected result of said characteristic detection means (11).
Claim 2
Dependent Claim 131 words
The adaptive equalizer as set forth in claim 1, wherein said adaptive equalizer further comprises a characteristic detection control device, disposed in the preceding stage of said characteristic detection means (11), for supplying said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while said known input signal is inputted to said object to be equalized (10) and for supplying an output signal of said equalizing means (12) as a signal instead of said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while an unknown input signal is inputted to said object to be equalized (10) after said known input signal is inputted, thereby successively detecting a characteristic.
Claim 3
Dependent Claim 36 words
The adaptive equalizer as set forth in claim 1 or 2, wherein said characteristic detection means (11) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 4
Dependent Claim 34 words
The adaptive equalizer as set forth in claim 1 or 2, wherein said equalizing means is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 5
Dependent Claim 46 words
The adaptive equalizer as set forth in claim 1, 2, 3,or 4, wherein said characteristic detection means (11) is arranged to detect a transfer function of said object to be equalized (10) or values of the real part and the imaginary part of said transfer function.
Claim 6
Dependent Claim 44 words
The adaptive equalizer as set forth in claim 1, 2, 3, or 4, wherein said characteristic detection means (11) is arranged to detect values of an amplitude frequency characteristic and an envelope characteristic of a transfer function of said object to be equalized (10).
Claim 7
Dependent Claim 119 words
An adaptive equalizer, comprising: characteristic detection means (11) for detecting a characteristic of an object to be equalized (10) by using an output signal corresponding to a known input signal, of said object to be equalized (10), so that a deterioration of the output is compensated; equalizing control means (14) for outputting a control signal which equalizes an output signal of said object to be equalized (10) in accordance with an unknown input signal by using the detected result of said characteristic detection means (11); and equalizing means (15) for equalizing an output signal of said object to be equalized (10) in accordance with an unknown input signal in accordance with an output of said equalizing control means (14).
Claim 8
Dependent Claim 131 words
The adaptive equalizer as set forth in claim 7, wherein said adaptive equalizer further comprises a characteristic detection control device, disposed in the preceding stage of said characteristic detection means (11), for supplying said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while said known input signal is inputted to said object to be equalized (10) and for supplying said output signal of said equalizing means (15) as a signal instead of said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while an unknown input signal is inputted to said object to be equalized (10) after said known input signal is inputted, thereby successively detecting a characteristic.
Claim 9
Dependent Claim 61 words
The adaptive equalizer as set forth in claim 7 or 8, wherein said equalizing means (15) is means for weighting and adding outputs of a plurality of equalizing circuits and said equalizing control means (14) is arranged to output a weighting signal in accordance with outputs of said plurality of equalizing circuits in accordance with the detected result of a characteristic.
Claim 10
Dependent Claim 36 words
The adaptive equalizer as set forth in claim 7 or 8, wherein said characteristic detection means (11) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 11
Dependent Claim 36 words
The adaptive equalizer as set forth in claim 7 or 8, wherein said equalizing control means (14) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 12
Dependent Claim 41 words
The adaptive equalizer as set forth in claim 7 or 8, wherein a plurality of equalizing circuits as a part of said equalizing means (15) are neural networks or learning devices for obtaining said equalizing function by learning a presented event.
Claim 13
Dependent Claim 50 words
The adaptive equalizer as set forth in claim 7, 8, 9, 10, 11, or 12, wherein said characteristic detection means (11) is arranged to detect a transfer function of said object to be equalized (10) or values of a real part and an imaginary part of said transfer function thereof.
Claim 14
Dependent Claim 46 words
The adaptive equalizer as set forth in claim 7, 8, 9, 10, 11, or 12, wherein said characteristic detection means (11) is arranged to detect values of an amplitude frequency characteristic and an envelope characteristic of a transfer function of said object to be equalized (10).
Claim 15
Dependent Claim 96 words
An adaptive equalizer, comprising: characteristic detection means (11) for detecting a characteristic of an object to be equalized (10) from an output signal in accordance with an input signal by using a detection parameter in accordance with a signal pattern of a known input signal of said object to be equalized (10), so that a deterioration of the output signal is compensated; and equalizing means (12) for equalizing an output signal of said object to be equalized (10) in accordance with an unknown input signal by using the detected result of said characteristic detection means (11).
Claim 16
Dependent Claim 131 words
The adaptive equalizer as set forth in claim 15, wherein said adaptive equalizer further comprises a characteristic detection control device, disposed in the preceding stage of said characteristic detection means (11), for supplying said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while said known input signal is inputted to said object to he equalized (10) and for supplying an output signal of said equalizing means (12) as a signal instead of said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while an unknown input signal is inputted to said object to be equalized (10) after said known input signal is inputted, thereby successively detecting a characteristic.
Claim 17
Dependent Claim 36 words
The adaptive equalizer as set forth in claim 15 or 16, wherein said characteristic detection means (11) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 18
Dependent Claim 35 words
The adaptive equalizer as set forth in claim 15 or 16, wherein said equalizing means (12) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 19
Dependent Claim 48 words
The adaptive equalizer as set forth in claim 15, 16, 17, or 18, wherein said characteristic detection means (11) is arranged to detect a transfer function of said object to be equalized (10) or values of a real part and an imaginary part of said transfer function thereof.
Claim 20
Dependent Claim 44 words
The adaptive equalizer as set forth in claim 15, 16, 17, or 18, wherein said characteristic detection means (11) is arranged to detect values of an amplitude frequency characteristic and an envelope characteristic of a transfer function of said object to be equalized (10).
Claim 21
Dependent Claim 110 words
An adaptive equalizer, comprising: characteristic detection means (11) for detecting a characteristic of an object to be equalized (10) from an output signal corresponding to a known input signal, of said object to be equalized (10), so that a deterioration of the output signal is compensated. Post-process means (16) for storing the characteristic detected by said characteristic detection means (11) in accordance with a plurality of periods and performing a post-process on the detected characteristic being stored; and equalizing means (17) for equalizing an output signal of said object to be equalized (10) in accordance with an unknown input signal by using the post-processed result of said post-process means (16).
Claim 22
Dependent Claim 131 words
The adaptive equalizer as set forth in claim 21, wherein said adaptive equalizer further comprises a characteristic detection control device, disposed in the preceding stage of said characteristic detection means (11), for supplying said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while said known input signal is inputted to said object to be equalized (10) and for supplying an output signal of said equalizing means (17) as a signal instead of said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while an unknown input signal is inputted to said object to be equalized (10) after said known input signal is inputted, thereby successively detecting a characteristic.
Claim 23
Dependent Claim 46 words
The adaptive equalizer as set forth in claim 21 or 23, wherein said characteristic detection means (11) is arranged to detect a characteristic of said object to be equalized (10) by using a detection parameter in accordance with a signal pattern of said known input signal.
Claim 24
Dependent Claim 37 words
The adaptive equalizer as set forth in claim 21, 22, or 23, wherein said characteristic detection means (11) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 25
Dependent Claim 35 words
The adaptive equalizer as set forth in claim 21, 22, or 23, wherein said equalizing means (17) is a neural network or a learning device for obtaining said equalizing function by learning a presented event.
Claim 26
Dependent Claim 22 words
The adaptive equalizer as set forth in claim 21, 22, or 23, wherein said post-process means (16) is a statistic process device.
Claim 27
Dependent Claim 35 words
The adaptive equalizer as set forth in claim 21, 22 or 23, wherein said post-process means (16) is a neural network or a learning device for obtaining said post-process function by learning a presented event.
Claim 28
Dependent Claim 51 words
The adaptive equalizer as set forth in claim 21, 22, 23, 24, 25, 26, or 27, wherein said characteristic detection means (11) is arranged to detect a transfer function of said object to be equalized (10) or values of a real part and an imaginary part of said transfer function thereof.
Claim 29
Dependent Claim 47 words
The adaptive equalizer as set forth in claim 21, 22, 23, 24, 25, 26, or 27, wherein said characteristic detection means (11) is arranged to detect values of an amplitude frequency characteristic and an envelope characteristic of a transfer function of said object to be equalized (10).
Claim 30
Dependent Claim 177 words
An adaptive equalizer, comprising: characteristic detection means (11) for detecting a characteristic of an object to be equalized (10) from an output signal in accordance with a known input signal, of said object to be equalized (10) as a compensation of a deterioration of said output signal; equalizing means (12) for equalizing an output signal of said object to be equalized (10) in accordance with an unknown input signal by using the detected result of said characteristic detection means (11); equalizing error detection and learning pattern storage means (18) for comparing said known input signal with an output signal of said equalizing means (12) and for storing said output signal, the detected result of said characteristic detection means (11), and said known input signal, which is a correct output signal of said object to be equalized (10), as a learning pattern when an equalizing error is detected; and learning control means (19) for causing said equalizing means (12) to learn by using said learning pattern while said object to be equalized (10) does not output a signal.
Claim 31
Dependent Claim 76 words
The adaptive equalizer as set forth in claim 30, wherein said adaptive equalizer comprises an adjustment device, said device comprising: a characteristic detection device forming said characteristic detection means (11); an equalizing device forming said equalizing means (12); a recognition signal storage device, un equalizing error determination device, and a learning pattern storage device forming said equalizing error detection and learning pattern storage means (18); and a learning control device forming said learning control means (19).
Claim 32
Dependent Claim 133 words
The adaptive equalizer as set forth in claim 30 or 31, wherein said adaptive equalizer further comprises a characteristic detection control device, disposed in the preceding stage of said characteristic detection means (11), for supplying said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while said known input signal is inputted to said object to be equalized (10) and for supplying an output signal of said equalizing means (12) as a signal instead of said known input signal and an output signal of said object to be equalized (10) to said characteristic detection means (11) while an unknown input signal is inputted to said object to be equalized (10) after said known input signal is inputted, thereby successively detecting a characteristic.
Claim 33
Dependent Claim 37 words
The adaptive equalizer as set forth in claim 30, 31, or 32, wherein said characteristic detection means (11) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 34
Dependent Claim 36 words
The adaptive equalizer as set forth in claim 30, 31, or 32, wherein said equalizing means (12) is a neural network or a learning device for obtaining a characteristic detecting function by learning a presented event.
Claim 35
Dependent Claim 49 words
The adaptive equalizer as set forth in claim 30, 31, 32, 33, or 34, wherein said characteristic detection means (11) is arranged to detect a transfer function of said object to be equalized (10) or values of a real part and an imaginary part of said transfer function thereof.
Claim 36
Dependent Claim 45 words
The adaptive equalizer as set forth in claim 30, 31, 32, 33, or 34, wherein said characteristic detection means (11) is arranged to detect values of an amplitude frequency characteristic and an envelope characteristic of a transfer function of said object to be equalized (10).

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