Pipelined Adaptive Digital Filters
Series: The Springer International Series in Engineering and Computer Science; 274;
- Publisher's listprice EUR 160.49
-
68 079 Ft (64 837 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 13 616 Ft off)
- Discounted price 54 463 Ft (51 870 Ft + 5% VAT)
68 079 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1994
- Publisher Springer
- Date of Publication 30 June 1994
- Number of Volumes 1 pieces, Book
- ISBN 9780792394631
- Binding Hardback
- No. of pages187 pages
- Size 235x155 mm
- Weight 1030 g
- Language English
- Illustrations XII, 187 p. Illustrations, black & white 0
Categories
Long description:
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.
Table of Contents:
1 Introduction.- 1.1 Background.- 1.2 Pipelining.- 1.3 Relaxed Look-Ahead.- 1.4 Outline.- 2 A Pipelined Adaptive Lattice Filter Architecture.- 2.1 Introduction.- 2.2 Pipelining Using Relaxed Look-ahead.- 2.3 Pipelined Adaptive Lattice Architectures.- 2.4 Convergence Analysis.- 2.5 Pipelined ADPCM Video Codec.- 2.6 Simulation Results.- 2.7 Conclusions.- Appendix A: Derivation of the Bounds on,Q for Convergence.- Appendix B: Derivation of the Convergence Time-Constants.- Appendix C: Derivation of the Misadjustment Expressions.- 3 Relaxed Look-Ahead Pipelined Lms Adaptive Filters and Quantizers.- 3.1 Introduction.- 3.2 The Relaxed Look-Ahead Technique.- 3.3 The PIPLMS Architecture.- 3.4. Convergence Properties Of The PIPLMS.- 3.5 The Pipelined ADPCM Codec.- 3.6 Pipelined Adaptive Quantizers.- 3.7 Simulation Results.- 3.8 Conclusions.- Appendix A: Derivation of the Misadjustment Expression andBounds on ? for Convergence.- Appendix B: Derivation of the Convergence Time-Constants.- Appendix C.- 4 A Pipelined Adaptive Differential Vector Quantizer Architecture Anda Design Algorithm.- 4.1 Introduction.- 4.2 The Pipelined ADVQ Architecture.- 4.3 Design Algorithms for PIPADVQ.- 4.4 Simulation Results.- 4.5 Speech Coding.- 4.6 Conclusions.- Appendix A.- 5 Fine-Grain Pipelined Adaptive Dfe Architectures using Relaxedlook-Ahead.- 5.1 Introduction.- 5.2 The Relaxed Look-Ahead.- 5.3 Pipelined ADFE Architectures.- 5.4 Performance Analysis.- 5.5 Convergence Analysis.- 5.6 Simulation Results.- 5.7 Conclusions.- Appendix A: Convergence Analysis.- 6 Finite-Precision Analysis of The Pipelined Adpcm Coder.- 6.1 Introduction.- 6.2 Roundoff Error Analysis.- 6.3 Simulation Results.- Appendix A: Derivation of the Expression for the MSE.- 7 Vlsi Implementation of a 100 Mhzpipelined Adpcm CodecChip.- 7.1 Introduction.- 7.2 Architecture and Timing.- 7.3 Circuit Modules and Floor-Plan.- 7.4 Design Methodology.- 7.5 Conclusions.- 8 A Pipelined Kalman Filter Architecture.- 8.1 Introduction.- 8.2 The Pipelined Kalman Filter.- 8.3 Simulation Results.- 8.4 Folded Architecture.- 8.5 Conclusions.- Appendix A: Derivation of the PIPKAL Algorithm.- Appendix B: Convergence Analysis.- 9 Future Research Directions.- 9.1 Summary.- 9.2 Future Research.- 10 References.
More
Pipelined Adaptive Digital Filters
Subcribe now and receive a favourable price.
Subscribe
68 079 HUF
