Adaptive filtering is commonly used in many communication applications
including speech and video predictive coding, mobile radio, ISDN
subscriber loops, and multimedia systems. Existing adaptive filtering
topologies are non-concurrent and cannot be pipelined. Pipelined
Adaptive Digital Filters presents new pipelined topologies which are
useful in reducing area and power and in increasing speed. If the
adaptive filter portion of a system suffers from a power-speed-area
bottleneck, a solution is provided.
Pipelined Adaptive Digital Filters is required reading for all users
of adaptive digital filtering algorithms. Algorithm, application and
integrated circuit chip designers can learn how their algorithms can be
tailored and implemented with lower area and power consumption and with
higher speed. The relaxed look-ahead techniques are used to design
families of new topologies for many adaptive filtering applications
including least mean square and lattice adaptive filters, adaptive
differential pulse code modulation coders, adaptive differential vector
quantizers, adaptive decision feedback equalizers and adaptive Kalman
filters. Those who use adaptive filtering in communications, signal and
image processing algorithms can learn the basis of relaxed look-ahead
pipelining and can use their own relaxations to design pipelined
topologies suitable for their applications.
Pipelined Adaptive Digital Filters is especially useful to designers
of communications, speech, and video applications who deal with adaptive
filtering, those involved with design of modems, wireless systems,
subscriber loops, beam formers, and system identification applications.
This book can also be used as a text for advanced courses on the
topic.