Pipelined Adaptive Digital Filters

1. Front Matter

   Pages i-xii

   PDF

2. Introduction

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 1-12

3. A Pipelined Adaptive Lattice Filter Architecture

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 13-39

4. Relaxed Look-Ahead Pipelined Lms Adaptive Filters and Quantizers

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 41-78

5. A Pipelined Adaptive Differential Vector Quantizer Architecture and A Design Algorithm

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 79-95

6. Fine-grain Pipelined Adaptive DFE Architectures Using Relaxed Look-Ahead

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 97-132

7. Finite-Precision Analysis of the Pipelined ADPCM Coder

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 133-144

8. VLSI Implementation of a 100 Mhz Pipelined ADPCM Codec Chip

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 145-157

9. A Pipelined Kalman Filter Architecture

   • Naresh R. Shanbhag, Keshab K. Parhi

   Pages 159-172

10. Future Research Directions

    • Naresh R. Shanbhag, Keshab K. Parhi

    Pages 173-175

11. References

    • Naresh R. Shanbhag, Keshab K. Parhi

    Pages 177-186

12. Back Matter

    Pages 187-187

    PDF

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.

• Adaptive Filter
• Modulation
• Signal
• Topologie
• VLSI
• coding
• communication
• filter
• filtering
• filters
• integrated circuit
• multimedia
• radio
• system identification

• AT&T Bell Laboratories, Murray Hill, USA

  Naresh R. Shanbhag

• University of Minnesota, Minneapolis, USA

  Keshab K. Parhi

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