Over the past several years there has been considerable attention focused on the problem
of enhancement and bandwidth compression of speech degraded by additive background …

Biomedical Signal Analysis Comprehensive resource covering recent developments,
applications of current interest, and advanced techniques for biomedical signal analysis …

This paper is a pragmatic tutorial review of the cepstrum literature focusing on data
processing. The power, complex, and phase cepstra are shown to be easily related to one …

This book was written in response to the growing demand for a text that provides a unified
treatment of linear and nonlinear complex valued adaptive filters, and methods for the …

A study of digital speech processing, synthesis and recognition. This second edition
contains new sections on the international standardization of robust and flexible speech …

We developed a sparse multichannel blind deconvolution (SMBD) method. The method is a
modification of the multichannel blind deconvolution technique often called Euclid …

In the exploration for oil and natural gas, the geophysicist is confronted with the problem of
estimating the structural features of the subsurface to depths of up to 6000 m with an …

Linear predictive coding (LPC) parameters are widely used in various speech coding
applications for representing the short-time spectral envelope information of speech [1]. For …

The inversion of minimum phase signals is well understood. However, many signals are non-
minimum phase and the deconvolution of such sequences is less well documented. The aim …

Quantum-Mechanical Signal Processing and Spectral Analysis describes the novel
application of quantum mechanical methods to signal processing across a range of …