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Adaptive Filtering
Edited by Lino Garcia, ISBN 978-953-307-158-9, Hard cover, 398 pages, Publisher: InTech, Published: September 06, 2011 under CC BY-NC-SA 3.0 license, in subject Electrical and Electronic Engineering
DOI: 10.5772/675
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.
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Book contents
- Chapter 1Convergence Evaluation of a Random Step-Size NLMS Adaptive Algorithm in System Identification and Channel Equalization
- Chapter 2Steady-State Performance Analyses of Adaptive Filters
- Chapter 3The Ultra High Speed LMS Algorithm Implemented on Parallel Architecture Suitable for Multidimensional Adaptive Filtering
- Chapter 4An LMS Adaptive Filter Using Distributed Arithmetic - Algorithms and Architectures
- Chapter 5Adaptive Filtering Using Subband Processing: Application to Background Noise Cancellation
- Chapter 6Hirschman Optimal Transform (HOT) DFT Block LMS Algorithm
- Chapter 7Real-Time Noise Cancelling Approach on Innovations-Based Whitening Application to Adaptive FIR RLS in Beamforming Structure
- Chapter 8Adaptive Fuzzy Neural Filtering for Decision Feedback Equalization and Multi-Antenna Systems
- Chapter 9A Stereo Acoustic Echo Canceller Using Cross-Channel Correlation
- Chapter 10EEG-fMRI Fusion: Adaptations of the Kalman Filter for Solving a High-Dimensional Spatio-Temporal Inverse Problem
- Chapter 11Adaptive-FRESH Filtering
- Chapter 12Transient Analysis of a Combination of Two Adaptive Filters
- Chapter 13Adaptive Harmonic IIR Notch Filters for Frequency Estimation and Tracking
- Chapter 14Echo Cancellation for Hands-Free Systems
- Chapter 15Adaptive Heterodyne Filters
