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US5615286A Expired / Lapsed US ⏱️ 0.0 years remaining

Method for determining a most likely sequence of states

Assignee: Nytell Software LLC
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Filing: 1995-05-05
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Granted: 1997-03-25
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Expires: 2015-05-05
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Abstract

Abstract The number of calculations to determine the most likely path is reduced by eliminating a number of paths that are impossible to provide an optimal result. How to eliminate these non-optimal paths, thus greatly reducing the number of calculations performed by a signal processor. The determination of the probability score of the best path to state s at time t may be found as follows. First, transition probabilities to state s are sorted in order of descending probability. Second, the k highest probability scores at time t-1 are identified. Third, the highest transition probability associated with the k highest probability scores at t-1 is identified and designated maxrank. Fourth, the k highest probability scores at t-1 are multiplied with their associated transition probabilities with the highest product being designated maxvalue. Fifth, all transition probabilities higher than maxrank are multiplied with their associated probability scores at t-1. If the product of one of these multiplications is greater than the current maxvalue, this product becomes the new maxvalue. The final maxvalue is multiplied by an observation probability to determine a most likely path sequence to state s at time-1. K is chosen to be √N, where N is the total number of possible states.

Inventors

  • 👤 Sarvar M. Patel

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-02 22:56
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/08; G06; G06V; G06V10/00; G06V10/70; G06V10/74; G06V10/75; G10L15/14; G10L15/142

Claims Analysis

Total Claims: 11
Claim 1
Independent Claim 166 words
A method for determining the most likely state sequence ending in a state s at a time t corresponding to a sequence of observations from an initial time interval to time t, comprising the steps of: a. receiving the sequence of observations; b. comparing the observations to known parameters for N number of states; c. determining a best state sequence for each of the N number of states at time t-1 based on this comparison; d. identifying a first number of the best state sequences at t-1, the first number being less than N, one of which sequences will provide an optimal state sequence to s at time t; e. processing only the first number of the best state sequences; and f. selecting an optimal state sequence from the processed best state sequences; and wherein the step of determining comprises determining the best state sequences by iteratively calculating the most likely state sequences for each of the N states from the initial time to time t-1.
Claim 2
Independent Claim 166 words
A method for determining the most likely state sequence ending in a state s at a time t corresponding to a sequence of observations from an initial time interval to time t, comprising the steps of: a. receiving the sequence of observations; b. comparing the observations to known parameters for N number of states; c. determining a best state sequence for each of the N number of states at time t-1 based on this comparison; d. identifying a first number of the best state sequences at t-1, the first number being less than N, one of which sequences will provide an optimal state sequence to s at time t; e. processing only the first number of the best state sequences; and f. selecting an optimal state sequence from the processed best state sequences; and wherein the step of determining comprises determining the best state sequences by iteratively calculating the most likely state sequences for each of the N states from the initial time to time t-1.
Claim 3
Dependent Claim 37 words
The method of claim 1, wherein the step of comparing further comprises comparing each observation to an observation probability function for each of the N states to determine an observation probability for each state for each observation.
Claim 4
Dependent Claim 77 words
The method of claim 1, wherein the step of identifying comprises the steps of: a. sorting transition probabilities to state s in order of descending probability; b. selecting k highest probability state sequences from the best state sequences of the N states at time t-1; c. designating as maxrank the highest rank of the transition probabilities associated with the k highest probability best state sequences at time t-1; and d. identifying all transition probabilities higher than maxrank.
Claim 5
Dependent Claim 42 words
The method of claim 3, wherein the step of processing comprises: a. multiplying the k highest probability state sequences at t-1 with their associated transition probabilities; and b. multiplying all transition probabilities higher than maxrank with their associated state sequences at t-1.
Claim 6
Dependent Claim 27 words
The method of claim 4, wherein the step of selecting comprises selecting a final state sequence associated with a highest product after all multiplications have been performed.
Claim 7
Independent Claim 169 words
A method for determining a most likely state sequence at a time t for a state s in a system having N possible states, comprising the steps of: a. receiving a number of observations from an initial time to time t; b. sorting a plurality of transition probabilities to state s associated with the N states in order of descending probability; c. identifying k highest state probability scores among the N states at a time t - 1; d. designating as maxrank a highest transition probability associated with the k highest state probability scores at time t-1; e. multiplying the k highest state probability scores at time t-1 with their associated transition probabilities; f. designating as a current maxvalue a highest product of this multiplication; g. multiplying all transition probabilities higher than maxrank with their associated state probability scores; h. replacing the current maxvalue with a new maxvalue if a product of one of the multiplications of a transition probability higher than maxrank is greater than the current maxvalue.
Claim 8
Independent Claim 169 words
A method for determining a most likely state sequence at a time t for a state s in a system having N possible states, comprising the steps of: a. receiving a number of observations from an initial time to time t; b. sorting a plurality of transition probabilities to state s associated with the N states in order of descending probability; c. identifying k highest state probability scores among the N states at a time t - 1; d. designating as maxrank a highest transition probability associated with the k highest state probability scores at time t-1; e. multiplying the k highest state probability scores at time t-1 with their associated transition probabilities; f. designating as a current maxvalue a highest product of this multiplication; g. multiplying all transition probabilities higher than maxrank with their associated state probability scores; h. replacing the current maxvalue with a new maxvalue if a product of one of the multiplications of a transition probability higher than maxrank is greater than the current maxvalue.
Claim 9
Dependent Claim 24 words
The method of claim 6, further comprising the step of multiplying the final maxvalue by an observation probability for state s at time t.
Claim 10
Dependent Claim 16 words
The method of claim 6, wherein steps d-h are repeated from each of the N states.
Claim 11
Dependent Claim 20 words
The method of claim 6, further including the step of choosing k to be an inteqer solution close to √N.

References Cited (Backward Citations)

US4827521A Cited
US5050215A Cited
US5029212A Cited
US5307444A Cited
US5268990A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2000-03-24 2000-09-23 2001-03-25 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2004-03-24 2004-09-23 2005-03-25 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2008-03-24 2008-09-23 2009-03-25 $7700.00 Window Closed / Lapsed

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