CONVOLUTIVE BLIND SOURCE SEPARATION USING A MULTIPLE DECORRELATION METHOD
专利汇可以提供CONVOLUTIVE BLIND SOURCE SEPARATION USING A MULTIPLE DECORRELATION METHOD专利检索，专利查询，专利分析的服务。并且A method and apparatus that performs blind source separation usign convolutive signal decorrelation. More specifically, the method accumulates a length of input signal (mixed signal) that comprises 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 whithin each T-length period. Thereafter, estimated cross-correlation values are computed using a plurality of the average 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 FIR filter that will effectively separate the source signals within the input signal. To achieve an accurate solution, the gradient descent process is constrained in that the time-domain values of the filter coefficents can attain only certain values, i.e., the time-domain filter coefficient values W( tau ) are constrained within each T-length period to be zero for any time t > Q. In this manner, a unique solution for the FIR filter coefficients is computed and a filter produced using these coefficents will effectively separate the source signals.，下面是CONVOLUTIVE BLIND SOURCE SEPARATION USING A MULTIPLE DECORRELATION METHOD专利的具体信息内容。
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