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… (More)
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Highly Cited
2013
Highly Cited
2013
Highly Cited
2013
Sensor fusion deals with merging information from two or more sensors, where statistical signal processing provides a powerful… (More)
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2010
2010
With signal combining and detection methods now representing a key application of signal processing in communication systems… (More)
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2007
2007
Non-uniform sampling comes natural in many applications, due to for example imperfect sensors, mismatched clocks or event… (More)
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Review
2004
Review
2004
vs. Concrete It may seem strange that the axioms of probability deal with apparently abstract ideas of measures instead of… (More)
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2003
2003
Nonnegativity constraints arise frequently in statistical learning and pattern recognition. Multiplicative updates provide… (More)
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Review
2002
Review
2002
Cox, Matthew L. Miller, and Jeffrey A. Bloom. San Diego, CA: Academic Press, 2002, 576 pp. $69.96 (hardbound). A key ingredient… (More)
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Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients… (More)
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Highly Cited
1993
Highly Cited
1993
 
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Review
1993
Review
1993
THIS BOOK IS an excellent first level textbook aimed principally at graduates and post-graduates studying random and statistical… (More)
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