Multiple source location estimation using the EM Algorithm
MetadataShow full item record
We present a computationally efficient scheme for multiple source location estimation based on the EM Algorithm. The proposed scheme is optimal in the sense that it converges iteratively to the exact Maximum Likelihood estimate for all the unknown parameters simultaneously. The method can be applied to a wide range of problems arising in signal and array processing.
Showing items related by title, author, creator and subject.
Leverette, Steven John (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1977-07)In studying the earth with reflection seismics, one of the major unknowns is the velocity structure of the medium. Techniques used to determine the velocity structure commonly involve multi-channel arrays which measure ...
Kite-Powell, Hauke L.; Colgan, Charles S.; Wellman, Katharine F.; Pelsoci, Thomas; Wieand, Kenneth; Pendleton, Linwood; Kaiser, Mark J.; Pulsipher, Allan G.; Luger, Michael (Woods Hole Oceanographic Institution, 2005-04)We develop a methodology to estimate the potential economic benefits from new investments in regional coastal ocean observing systems in US waters, and apply this methodology to generate preliminary estimates of such ...
Geoacoustic inversion in laterally varying shallow-water environments using high-resolution wavenumber estimation Becker, Kyle M. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2002-02)Sound propagation in shallow water is highly dependent on the interaction of the sound field with the bottom. In order to fully understand this problem, it is necessary to obtain reliable estimates of bottom geoacoustic ...