Adaptive Filtering Using Subband Processing: Application to Background Noise Cancellation

preface_Adaptive Filtering......Page 1 00_Fundamentals, Convergence, Performance......Page 13 01_Convergence Evaluation of a Random Step-Size NLMS Adaptive Algorithm in System Identification and Channel Equalization ......Page 15 02_Steady-State Performance Analyses of Adaptive Filters ......Page 31 03_The Ultra High Speed LMS Algorithm Implemented on Parallel Architecture Suitable for Multidimensional Adaptive Filtering ......Page 59 04_An LMS Adaptive Filter Using Distributed Arithmetic - Algorithms and Architectures ......Page 101 04a_Complex Structures, Applications and Algorithms ......Page 119 05_Adaptive Filtering Using Subband Processing: Application to Background Noise Cancellation ......Page 121 06_Hirschman Optimal Transform (HOT) DFT Block LMS Algorithm ......Page 147 07_Real-Time Noise Cancelling Approach on Innovations-Based Whitening Application to Adaptive FIR RLS in Beamforming Structure ......Page 165 08_Adaptive Fuzzy Neural Filtering for Decision Feedback Equalization and Multi-Antenna Systems ......Page 181 09_A Stereo Acoustic Echo Canceller Using Cross-Channel Correlation ......Page 207 10_EEG-fMRI Fusion: Adaptations of the Kalman Filter for Solving a High-Dimensional Spatio-Temporal Inverse Problem ......Page 245 11_Adaptive-FRESH Filtering ......Page 271 12_Transient Analysis of a Combination of Two Adaptive Filters ......Page 309 13_Adaptive Harmonic IIR Notch Filters for Frequency Estimation and Tracking ......Page 325 14_Echo Cancellation for Hands-Free Systems ......Page 345 15_Adaptive Heterodyne Filters ......Page 371 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