Signal processing system

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C706S045000

Reexamination Certificate

active

06954745

ABSTRACT:
A signal processing system is provided which includes one or more receivers for receiving signals generated by a plurality of signal sources. The system has a memory for storing a predetermined function which gives, for a set of input signal values, a probability density for parameters of a respective signal model which is assumed to have generated the signals in the received signal values. The system applies a set of received signal values to the stored function to generate the probability density function and then draws samples from it. The system then analyses the drawn samples to determine parameter values representative of the signal from at least one of the sources.

REFERENCES:
patent: 4386237 (1983-05-01), Virupaksha et al.
patent: 4811399 (1989-03-01), Landell et al.
patent: 4905286 (1990-02-01), Sedgwick et al.
patent: 5012518 (1991-04-01), Liu et al.
patent: 5315538 (1994-05-01), Borrell et al.
patent: 5432884 (1995-07-01), Kapanen et al.
patent: 5611019 (1997-03-01), Nakatoh et al.
patent: 5742694 (1998-04-01), Eatwell
patent: 5784297 (1998-07-01), O'Brien et al.
patent: 5799276 (1998-08-01), Komissarchik et al.
patent: 5884255 (1999-03-01), Cox
patent: 5884269 (1999-03-01), Cellier et al.
patent: 6018317 (2000-01-01), Dogan et al.
patent: 6044336 (2000-03-01), Marmarelis et al.
patent: 6134518 (2000-10-01), Cohen et al.
patent: 6226613 (2001-05-01), Turin
patent: 6377919 (2002-04-01), Burnett et al.
patent: 6438513 (2002-08-01), Pastor et al.
patent: 6516090 (2003-02-01), Lennon et al.
patent: 6549854 (2003-04-01), Malinverno et al.
patent: 6708146 (2004-03-01), Sewall et al.
patent: 0 554 083 (1993-08-01), None
patent: 0 631 402 (1994-12-01), None
patent: 0 674 306 (1995-09-01), None
patent: 0 952 589 (1999-10-01), None
patent: 0 996 112 (2000-04-01), None
patent: 1 022 583 (2000-07-01), None
patent: 1 160 768 (2001-12-01), None
patent: 1 034 441 (2003-04-01), None
patent: 2 137 052 (1984-09-01), None
patent: 2 332 054 (1999-06-01), None
patent: 2 332 055 (1999-06-01), None
patent: 2 345 967 (2000-07-01), None
patent: 2 349 717 (2000-11-01), None
patent: 2 356 106 (2001-05-01), None
patent: 2 356 107 (2001-05-01), None
patent: 2 356 313 (2001-05-01), None
patent: 2 356 314 (2001-05-01), None
patent: 2 360 670 (2001-09-01), None
patent: 2 361 339 (2001-10-01), None
patent: 2 363 557 (2001-12-01), None
patent: 2001/044926 (2001-02-01), None
patent: WO 92/22891 (1992-12-01), None
patent: WO 98/38631 (1998-09-01), None
patent: WO 99/28760 (1999-06-01), None
patent: WO 99/28761 (1999-06-01), None
patent: WO 99/64887 (1999-12-01), None
patent: WO 00/11650 (2000-03-01), None
patent: WO 00/38179 (2000-06-01), None
patent: WO 00/45375 (2000-08-01), None
patent: WO 00/54168 (2000-09-01), None
Numerical Recipes in C by W. Press, et al., Chapter 7, Cambridge University Press (1992).
“Reversible jump Markov chain Monte Carlo Computation and Bayesian model determination” by Peter Green, Biometrika, vol. 82, pp. 711-732 (1995).
“The Simulation Smoother For Time Series Models”, Biometrika, vol. 82, 2, pp. 339-350 (1995).
“Probabilistic inference using Markov chain Monte Carlo methods” by R. Neal. Technical Report CRG-TR-93-1, Department of Computer Science, University of Toronto (1993).
“Fundamentals of Speech Recognition,” Rabiner, et al., Prentice Hall, Englewood Cliffs, New Jersey, pp. 115 and 116, 1993.
“Bayesian Separation and Recovery of Convolutively Mixed Autoregssive Sources”, Godsill, et al., ICASSP, Mar. 1999.
“Statistical Properties of STFT Ratios for Two Channel Systems and Application to Blind Source Separation”, Balan, et al., Siemens Corporate Research, Princeton, N, pp. 429-434.
Bayesian Approach to Parameter Estimation and Interpolation of Time-Varying Autoregressive Interpolation of Time-Varying Autoregressive Process Using the Gibbs Sampler, Rajan, et al., IEE Proc.-Vis. Image Signal Process., vol. 44, No. 4, Aug. 1997, pp. 249-256.
“An Introduction to the Kalman Filter”, Welch, et al., Dept. of Computer Science, University of North Carolina at Chapel Hill, NC, Sep. 1997.
Srinivasan, et al., “Query Expansion for Imperfect Speech: Applications in Distributed Learning,” Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, 2000, pp. 50-54.
Couvreur, et al., “Wavelet-based Non-Parametric HMM's: Theory and Applications,” Proc. International Conference Acoustics, Speech and Signal Processing, Istanbul, vol. 1, Jun. 5-9, 2000, pp. 604-607.
Hopgood, et al., “Bayesian Single Channel Blind Deconvolution Using Parametric Signal and Channel Models,” Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, Oct. 17-20, 1999, pp. 151-154.
Andrieu, et al., “Bayesian Blind Marginal Separation of Convolutively Mixed Discrete Sources,” IEEE Proc., 1998, pp. 43-52.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Signal processing system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Signal processing system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Signal processing system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3488111

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.