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Statistical signal processing

In many applications, a signal is modeled as functions consisting of both a deterministic and a stochastic component. A simple example and also a… 
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Papers overview

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Review
2014
Review
2014
This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of… 
2013
2013
Power allocation is an important issue for Cognitive Radio Networks (CRNs), since it needs to consider the Quality of Service… 
Review
2010
Review
2010
One of great challenges in unsupervised hyperspectral target analysis is how to obtain desired knowledge in an unsupervised means… 
2010
2010
Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such… 
2010
2010
The Gaussian distribution is the most commonly used statistical model of the speech signal. In this paper we propose more general… 
2007
2007
1. Introduction. 1.1. Multi-channel multirate signal measurement. 1.2. Multirate statistical signal processing. 1.3. Notation. 2… 
2002
2002
1. Introduction.- 2. Random Processes.- 3. Power Spectrum of WSS Processes.- 4. Spectral Representation of WSS Processes.- 5… 
Review
1999
Review
1999
The sections in this article are 1 Motivation and Overview 2 Basic Background 3 Discerning Non-Gaussianity 4… 
1997
1997
Most wavelet-based statistical signal and image processing techniques treat the wavelet coefficients as though they were… 
Highly Cited
1995
Highly Cited
1995
A compilation of the latest advances in the field of higher order statistical signal processing as recorded at the 1992 special…