Nonlinear Signal and Image Processing
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Acoustic Echo
acoustic echo suppression
Adaptive Filters
adaptive signal analysis
AEC
arg
Augmented Input Signal
Bayesian image modeling
blind
Boolean Networks
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Cellular Automata
distribution
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filter
fuzzy logic algorithms
Fuzzy Samples
Genetic Regulatory Networks
GMRF
impulsive
Impulsive Noise
ISAR Image
Linear Fir Filter
LMS Algorithm
LRD
median
Median Filter
Membership Function
min
NLMS Algorithm
noise
nonlinear data traffic modeling applications
Nonlinear Filtering
Nonlinear Signal Processing
self-organizing maps
Stack Filters
Volterra Filter
Wavelet Coefficients
wavelet transform techniques
weighted
wigner
Wigner Distribution
Winner Neuron
WM Filter
Product details
- ISBN 9780849314278
- Weight: 889g
- Dimensions: 156 x 234mm
- Publication Date: 24 Nov 2003
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.
This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing components, from data traffic modeling and image enhancement to cutting edge applications in genomics.
All of the chapters were contributed by well-known theorists and application-driven researchers who explore current and emerging nonlinear methods from their theoretical background and practical algorithms through the potential of these methods for solving important open questions. Nonlinear Signal and Image Processing: Theory, Methods, and Applications thus provides a singular opportunity to build a strong, fundamental understanding of nonlinear theory and methods and a foundation upon which to approach many of today's most interesting and challenging signal processing problems.
Kenneth E. Barner, Gonzalo R. Arce
