Implementation and evaluation of a dual-sensor time-adaptive EM algorithm for signal enhancement
Buck, John R.
MetadataShow full item record
This thesis describes the implementation and evaluation of an adaptive time-domain algorithm for signal enhancement from multiple-sensor observations. The algorithm is first derived as a noncausal time-domain algorithm, then converted into a causal, recursive form. A more computationally efficient gradient-based parameter estimation step is also presented. The results of several experiments using synthetic data are shown. These experiments first illustrate that the algorithm works on data meeting all the assumptions made by the algorithm, then provide a basis for comparing the performance of the algorithm against the performance of a noncausal frequency-domain algorithm solving the same problem. Finally, an evaluation is made of the performance of the simpler gradient-based parameter estimation step.
Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution August 1991
Showing items related by title, author, creator and subject.
Eggen, Trym H. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1997-06)This work is concerned with coherent communication by means of acoustic signals over underwater communication channels. The estimated scattering functions of real data ranging from the Arctic environment to tropical ...
Briggs, Michael Jeffrey (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1981-06)The multichannel Maximum Entropy Method (MEM) of spectral analysis is developed and applied in the dynamic analysis of offshore structures. Two different algorithms are implemented and compared with the conventional ...
Xu, Kevin (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1999-09)An algorithm is developed for underwater acoustic signal processing with an array of hydrophones. With various acoustic signals coming from different directions, the maximum likelihood approach is used to estimate the ...