TY - GEN
T1 - Invariance of the generalized coherence estimate with respect to reference channel statistics
AU - Sinno, Dana
AU - Cochran, Douglas
N1 - Funding Information:
The authors wish to express their thanks to Herbert Gish who has been a steady collaborator in their work on multiple-channel detection. This work was supported in part by Arizona State University under FGIA 90-127 and RIA 90-0733.
Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - The probability distribution function of the three-channel generalized coherence estimate is shown not to depend on the statistical behavior of the data on one channel provided the other two channels contain white Gaussian noise and all channels are independent. A technique for multiple-channel matched filtering that is made viable by this invariance result is also discussed.
AB - The probability distribution function of the three-channel generalized coherence estimate is shown not to depend on the statistical behavior of the data on one channel provided the other two channels contain white Gaussian noise and all channels are independent. A technique for multiple-channel matched filtering that is made viable by this invariance result is also discussed.
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U2 - 10.1109/ICASSP.1992.226009
DO - 10.1109/ICASSP.1992.226009
M3 - Conference contribution
AN - SCOPUS:33747194021
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 505
EP - 508
BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Y2 - 23 March 1992 through 26 March 1992
ER -