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Theory of Affine Projection Algorithms for Adaptive Filtering

This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering. The APA is a natural;

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Adaptive Filtering

' is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership;

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Adaptive Filtering

' is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership;

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Adaptive Filtering

the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, sub-band, blind, IIR adaptive;

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Sparse Adaptive Filters for Echo Cancellation

is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by;

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Subband Adaptive Filtering

, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Unsupervised Adaptive Filtering

roots in the 1960s, more recent advances in signal processing, information theory, imaging, and remote sensing have made this a hot area for;

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Kalman Filtering: With Real-Time Applications

on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering;

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Kalman Filtering: With Real-Time Applications

on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering;

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Adaptive Filtering Prediction and Control

This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the;

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Adaptive Digital Filters

application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others;

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Adaptive Digital Filters

application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others;

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Partial Update Least-Square Adaptive Filtering

unsuitable for many real-time applications. A well-known approach to controlling computational complexity is applying partial update (PU) method to;

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Partial Update Least-Square Adaptive Filtering

unsuitable for many real-time applications. A well-known approach to controlling computational complexity is applying partial update (PU) method to;

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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

, they cover various theoretical considerations of adaptive filtering techniques used for DNA analysis, with an introduction to adaptive;

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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

Constraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a;

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Proportionate-type Normalized Least Mean Square Algorithms

. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo;

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Adaptive IIR Filtering in Signal Processing and Control

Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite;

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Adaptive Filtering

various applications addressed are MIMO receivers, adaptive exon prediction for DNA analysis, beam steering for smart antennas for mobile;

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Adaptive Digital Filters

This text emphasizes the intricate relationship between adaptive filtering and signal analysis - hig;...

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Adaptive Filtering and Change Detection

reduction of undesired elements. Change detection is another kind of adaptive filtering for non--stationary signals, and is the basic tool in fault;

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Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representa

This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account;

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Kernel Adaptive Filtering

Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls;

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Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms

compensate for any fault effects. Presenting a new method for fault-tolerant control (FTC) in the context of existing research, this uniquely;

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GPS: Theory, Algorithms and Applications

This reference and handbook describes theory, algorithms and applications of the Global Positioning System (GPS/Glonass/Galileo/Compass;

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