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Pipelined Adaptive Digital Filters (The Springer International Series in Engineering and Computer Science, 274) by Naresh R. Shanbhag, Keshab K. Parhi is a nonfiction available to read on EtoBox.

What is Pipelined Adaptive Digital Filters (The Springer International Series in Engineering and Computer Science, 274) about?

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

Who reads Pipelined Adaptive Digital Filters (The Springer International Series in Engineering and Computer Science, 274)?

Author

Naresh R. Shanbhag, Keshab K. Parhi

Publisher

Springer US

Published

1994

Language

EN

ISBN

9781461361510

Category

nonfiction

Subjects

Engineering, Technology, Stem