Synopses & Reviews
The goal of this book is to provide, for the first time, a reference to the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing their specific topic of study. The topics are limited to acoustics, speech, wireless, and networking applications where research is still very active and open. The book is roughly organized into two parts. In the first part, several applications in acoustics and speech are developed. The second part focuses on wireless and networking applications. Some chapters are tutorial in nature ,while others present new research ideas, and all have in common, the use of adaptive algorithms to solve real-world problems.
By adaptive signal processing, we mean, in general, adaptive ?ltering.In- known environments where we need to model, identify, or track time-varying channels, adaptive ?ltering has been proven to be an e?ective and powerful tool. As a result, this tool is now in use in many di?erent ?elds. Since the invention, by Widrow and Ho? in 1959, of one of the ?rst ad- tive ?lters, the so-called least-mean-square, many applications appeared to have the potential to use this fundamental concept. While the number of - plications (using adaptive algorithms) has been (and keeps) ?ourishing with time, thanks to several successes, the need for more sophisticated adaptive algorithms became obvious as real-world problems are more complex and more demanding. Even though the theory of adaptive ?ltering is already a well-established topic in signal processing, new and improved concepts are discovered every year by researchers. Some of these recent approaches are discussed in this book. The goal of this book is to provide, for the ?rst time, a reference to the hottest real-world applications where adaptive ?ltering techniques play an important role. To do so, we invited top researchers in di?erent ?elds to c- tribute chapters addressing their speci?c topic of study. Thousands of pages wouldprobablynotbe enoughto describeallthe practicalapplicationsutil- ing adaptive algorithms. Therefore, we limited the topics to some important applications in acoustics, speech, wireless, and networking, where research is still very active and open.
For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
Table of Contents
On the Class of Exponentiated Adaptive Algorithms for the Identification of Sparse Impulse Responses (Jacob Benesty, Yiteng (Arden)Huang, Dennis R. Morgan).- Adaptive Feedback Cancellation in Hearing Aids (James M. Kates).- Single-Channel Acoustic Echo Cancellation (Eberhard Hänsler, Gerhard Schmidt).- Multichannel Frequency-Domain Adaptive Filtering with Application to Multichannel Acoustic Echo Cancellation (Herbert Buchner, Jacob Benesty, Walter Kellermann).- Filtering Techniques for Noise Reduction and Speech Enhancement (Jingdong Chen, Yiteng (Arden) Huang, Jacob Benesty).- Adaptive Beamforming for Audio Signal Acquisition (Wolfgang Herbordt, Walter Kellermann).- Blind Source Separation of Convolutive Mixtures of Speech (Shoji Makino).- Adaptive Multichannel Time Delay Estimation Based on Blind System Identification for Acoustic Source Localization (Yiteng (Arden) Huang, Jacob Benesty).- Algorithms for Adaptive Equalization in Wireless Applications (Markus Rupp, Andreas Burg).- Adaptive Space-Time Processing for Wireless CDMA (Sofiéne Affes, Paul Mermelstein).- The IEEE 802.11 System with Multiple Receive Antennas (Vijitha Weerackody).- Adaptive Estimation of Clock Skew and Different Types of Delay in the Internet Network (Jacob Benesty).