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)
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