Title :
An eigenvalue/Eigenvector interpretation of surface reverberation rejection performance
Author :
Hodgkiss, W.S. ; Almagor, D.
Author_Institution :
Scripps Institution of Oceanography, San Diego, CA
Abstract :
The application of adaptive least-mean square (LMS) and least-squares lattice (LSL) algorithms to the rejection of sea surface reverberation is discussed. A specific dual channel noise cancelling structure is considered along with the results of processing a ping selected from an experimental ocean reverberation data set. A time-evolving eigenvalue/eigenvector decomposition is used to provide insight into the performance differences between the two adaptive algorithms in this highly dynamic physical geometry.
Keywords :
Acoustic beams; Eigenvalues and eigenfunctions; Lattices; Least squares approximation; Noise cancellation; Nonlinear filters; Oceans; Reverberation; Sea surface; Surface contamination;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169411