Amir R. Moghimi

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Array-based time-frequency masking algorithms are an important type of nonlinear array processing. In this paper we develop a model that characterizes the directional sensitivity of these algorithms in a fashion similar to commonly-used the beam patterns used to characterize linear array processing. Two alternative formulations are described , and it is(More)
In the context of array processing for speech and audio applications , linear beamforming has long been the approach of choice, for reasons including good performance, robustness and analytical simplicity. Nevertheless, various nonlinear techniques , typically based on the study of auditory scene analysis, have also been of interest. The class of techniques(More)
iii Acknowledgements I'd like to begin by thanking my advisor, Dr. Richard Stern. His support – financial, intellectual and moral – has carried me through graduate school. His belief in me has bolstered my own resolve and sustained my efforts. Most importantly, though, he has been a mentor and role model, one worthy of my respect and admiration; truly, that(More)
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