Gaussian functions are suitable for describing many processes in mathematics, science, and
engineering, making them very useful in the fields of signal and image processing. For …

In this paper, we derive the joint (amplitude, phase) distribution of the product of two
independent non-zero-mean Complex Gaussian random variables. We call this new …

Non-Gaussian Signal Processing is a child of a technological push. It is evident that we are
moving from an era of simple signal processing with relatively primitive electronic circuits to …

Gaussian assumption is the most well-known and widely used distribution in many fields
such as engineering, statistics, and physics. One of the major reasons why the Gaussian …

This new textbook fills the gap between standard signal processing texts, where statistical
frameworks rarely occupy more than a chapter, and highly involved texts that often are more …

Generalized Gaussian distribution (GGD) is often used to characterize the statistical
behaviour of a multimedia signal [JR Ohm, Multimedia Communication Technology …

Whenever there is no possible confusion between the random variable X and the real
argument, x, of the pdf this is simply represented by f (x) omitting the explicit reference to the …

An expansion of a signal in Gaussian elementary signals (Corresp.) | IEEE Transactions on
Information Theory skip to main content ACM Digital Library home ACM corporate logo …

We address the problem of synthesizing a generalized Gaussian noise with exponent 1/2 by
means of a nonlinear memoryless transformation applied to a uniform noise. We show that …

It is shown that the likelihood ratio for the detection of a random, not necessarily Gaussian,
signal in additive white Gaussian noise has the same form as that for a known signal in …