Multirate Signal Processing for Communication Systems View Larger Image | Fredric J. Harris Prentice Hall, Hardcover, Published May 2004, 478 pages, ISBN 0131465112 | List Price: $105.00 Our Price: $89.50 You Save: $15.50 (15% Off)
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Multirate signal processing can reduce costs and improve performance in applications
ranging from laboratory instruments to cable modems, wireless systems, and consumer
entertainment products. This book offers the first systematic, clear, and intuitive
introduction to multirate signal processing for working engineers and system
designers.
The author uses extensive examples and figures to illuminate a wide range
of multirate techniques, from basic resampling to leading-edge cascade and multiple-stage
filter structures. Along the way, he draws on extensive research and consulting
experience to introduce processing itricksi shown to maximize performance and
efficiency.
Coverage includes:
- Effective sampling and resampling in time and frequency domains
- Relationships between IIR Filter specifications and filter length (taps)
- Window design and equal-ripple (Remez) design techniques
- Square-Root Nyquist and Half Band Filters, including new design enhancements
- Polyphase IIR Filters: up-sampling, down-sampling, and cascade up-down sampling
- Polyphase interpolators and filters that perform arbitrary sample rate change
- Dyadic Half Band Filters, including quadrature mirror and IIR Filters
- Polyphase Channelizers, including M-path modulators, demodulator channel
banks, simultaneous interpolation, and channel bank formation
- Comprehensive coverage of recursive all-pass filtersoa topic never before
covered in this detail
- Comparisons with traditional DSP design techniques
- Extensive applications coverage throughout
Table of Contents
Preface.
Purpose
of Book. Organization of Book. Acknowledgements.
1. Why Multirate Filters?
Compact
Disc 4-to-1 Over Sample. Anti Alias Filtering.
2. The Resampling Process.
The
Sampling Sequence. What is a Multirate Filter? Useful Perspectives for Multirate
Filters. Nyquist and The Sampling Process.
3. Digital Filters.
Filter
Specifications. Windowing. The Remez Algorithm.
4. Useful Classes of Filters.
Nyquist
Filter and Square-Root Nyquist Filter. The Communication Path. The Sampled Cosine
Taper. Half Band Filters.
5. Systems That Use Resampling Filters.
Filtering
With Large Ratio of Sample Rate to Bandwidth. Workload of Multirate Filter.
6. Polyphase FIR Filters.
Channelizer.
Separating the Aliases.
7. Resampling Filters.
Interpolators.
Interpolator Architecture. Band Pass Interpolator. Rational Ratio Resampling.
Arbitrary Resampling Ratio. Farrow Filter.
8. Half Band Filters.
Half
Band Low Pass Filters. Half Band High Pass Filter. Window Design of Half Band
Filter. Remez Algorithm Design of Half Band Filters. Hilbert Transform Band
Pass Filter. Interpolating With Low-Pass Half-Band Filters. Dyadic Half-Band
Filters.
9. Polyphase Channelizers.
Demodulator
Channel Bank. Arbitrary Output Sample Rates.
10. Recursive Polyphase Filters.
All-Pass
Recursive Filters. Two-Path All-Pass Recursive Filters. Comparison of Non-Uniform
and Equal Ripple Phase Two-Path Filters. Pass Band and Stop Band Response in
Half Band Filters. Transforming Half Band to Arbitrary Bandwidth. Multirate
Considerations of Recursive Half Band Filters. Hilbert Transform Filter Variant
of Two-Path All-Pass Filter. M-Path Recursive All-Pass Filters. Iterated Half
Band Filters.
11. Cascade Integrator-Comb Filters.
A
Multiply Free Filter. Binary Integers and Overflow. Multistage CIC. Hogenauer
Filter. CIC Interpolator Example. Coherent and Incoherent Gain in CIC Integrators.
12. Cascade and Multiple Stage Filter Structures.
Interpolated
FIR (IFIR) Filters. Spectral Masking Filters Based of Half Band Filters. Spectral
Masking Filters Based of Complementary Filters. Proportional Bandwidth Filter
Banks.
13. Communication Systems Applications.
Conventional
Digital Down Converters. Aliasing Digital Down Converters. Timing Recovery in
a Digital Demodulator. Modem carrier Recovery. Digitally Controlled Sampled
Data Delay. Interpolated Shaping Filter. Sigma-Delta Decimating Filter.
Index.
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