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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

Semantic Scholar uses AI to extract papers important to this topic.
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… 
2002
2002
1. Introduction.- 2. Random Processes.- 3. Power Spectrum of WSS Processes.- 4. Spectral Representation of WSS Processes.- 5… 
Highly Cited
2002
Highly Cited
2002
A statistical signal processing approach to multisensor image fusion is presented for concealed weapon detection (CWD). This… 
2001
2001
  • C. Therrien
  • 2001
  • Corpus ID: 6968907
The statistical analysis of random signals and noise is traditionally carried out under the assumption of wide sense stationarity… 
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…