Method and system for on-line blind source separation

Electrical computers: arithmetic processing and calculating – Electrical digital calculating computer – Particular function performed

Reexamination Certificate

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C708S319000

Reexamination Certificate

active

06898612

ABSTRACT:
A method and apparatus is disclosed for performing blind source separation using convolutive signal decorrelation. For a first embodiment, the method accumulates a length of input signal (mixed signal) that includes a plurality of independent signals from independent signal sources. The invention then divides the length of input signal into a plurality of T-length periods (windows) and performs a discrete Fourier transform (DFT) on the, signal within each T-length period. Thereafter, estimated cross-correlation values are computed using a plurality of the averaged DFT values. A total number of K cross-correlation values are computed, where each of the K values is averaged over N of the T-length periods. Using the cross-correlation values, a gradient descent process computes the coefficients of a finite impulse response (FIR) filter that will effectively separate the source signals within the input signal. A second embodiment of the invention is directed to on-line processing of the input signal—i.e., processing the signal as soon as it arrives with no storage of the signal data. In particular, an on-line gradient algorithm is provided for application to non-stationary signals and having an adaptive step size in the frequency domain based on second derivatives of the cost function. The on-line separation methodology of this embodiment is characterized as multiple adaptive decorrelation.

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Parra, et al. “Convolutive Blind Separation of Non-Stationary Sources” IEEE Transactions on Speech and Audio Processing, 8(3), May 2000, 320-327.
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Pun, et al., A Simple Variable Step Algorithm for Blind Course Separation (BSS), Neutral Networks for Signal Processing VIII, Proc 1998 IEEE Signal Proc Soc Workship, Cambridge UK, 73-82.
Jones, D. “A New Method for Blind Source Separation of Nonstationary Signals”, 1999 IEEE International Conf on Acoustics, Speech and Signal Proc, Phoenix, AZ 15-19, 1999.

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