This paper reviews how to construct sets of random numbers with particular amplitude
distributions and correlations among values. These constructions support both high-fidelity …

The paper considers interference in a wireless communication network caused by users that
share the same propagation medium. Under the assumption that the interfering users are …

We have some time ago noticed that finding a book dealing with topics in the advanced
theory and applications of signal detection is not quite an easy matter. This is contrasted with …

A reformulation of the generalized Neyman-Pearson lemma is attempted using fuzzy set
theory. Based on the result, we define a locally optimum (or locally most powerful) fuzzy test …

Gaussian mixture probability density functions (pdfs) have been popular for modeling non-
Gaussian noise. The majority of non-Gaussian noise research has been restricted to …

In current day wireless communication has become the most popular communication.
Because of this growing demand on wireless applications has put a lot of constraints on the …

In cognitive radio networks, in order to avoid interference form secondary users to the
primary license holders of the spectrum, reliable spectrum sensing is necessary. In …

Classical threshold detection theory for arbitrary noise and signals, based on independent
noise samples, ie, using only the first-order probability density of the noise, is generalized to …

The locally optimum Bayes theory of signal detection in non-Gaussian noise/interference
environments is extended to include ergodic Markov noise models under mild regularity …

In this paper, we consider a discrete-time random signal detection problem under the
presence of additive noise exhibiting weak dependence. We derive the test statistic of the …