This book organizes principles and methods of signal processing and machine learning into
the framework of coherence. The book contains a wealth of classical and modern methods …

We develop highly accurate Laplace approximations for two hypergeometric functions of
Hermitian matrix argument denoted by 1 F ̃ 1 and 2 F ̃ 1. These functions arise naturally in …

The distribution of the non-central Wilks statistic in the complex case - ScienceDirect Skip to
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In this article, we use the saddlepoint approximation method to compute the cumulative
distribution function of non-central complex Wilks statistic. This approximation does not …

In conventional radar signal processing, a structured model for the target response is
considered while characterizing the clutter and interference using the covariance matrix of …

This thesis deals with the detection of fragmented telegrams in low power wide area
networks (LPWANs). In particular, interference and fading channels are considered …

This chapter is devoted to the detection of signals that are constrained to lie in a subspace.
The subspace may be known, or known only by its dimension. The probability distribution for …

This book is directed to graduate students, practitioners, and researchers in signal
processing and machine learning. A basic understanding of linear algebra and probability is …