Multirate Signal Processing for Communication Systems
This book provides the communications engineer involved in the physical layer of communications systems, the signal processing techniques and design tools needed to develop efficient algorithms for the design of various systems. These sytems inlcude satellite modems, cable modems, wire-line modems, cell-phones, various radios, multi-channel receivers, audio encoders, surveilance receivers, laboratory instruments, and various sonar and radar systems. The emphasis woven through the book material is that of intuitive understanding obtained by the liberal use of figures and examples. The book contains examples of all these types of systems. The book also will contain MATLAB script files that implement the examples as well as design tools for filters similar to the examples.
Why Read This Book
You should read this book if you need a practical, communications-oriented treatment of multirate DSP — it explains why and how to change sample rates efficiently and shows you implementable structures. You will get many concrete examples and MATLAB scripts that make design techniques immediately usable in modems, radios, audio encoders, and radar/sonar systems.
Who Will Benefit
Practicing communications or DSP engineers and advanced students who design sample-rate conversion, filter-bank and multichannel receiver/transmitter front ends for communications, radar, audio, or instrumentation systems.
Level: Advanced — Prerequisites: Solid understanding of discrete-time signals and systems, z-transform/DTFT, FIR/IIR filter basics, sampling theorem and aliasing, complex baseband concepts, and basic MATLAB familiarity.
Key Takeaways
- Design efficient decimators, interpolators, and multistage sample-rate converters optimized for communication systems
- Implement polyphase and noble-identity based structures that minimize computation and memory
- Construct and analyze perfect-reconstruction and near-perfect-reconstruction filter banks for channelization and subband coding
- Evaluate and mitigate aliasing, imaging, and passband droop in multirate systems applied to modems, radios and audio encoders
- Use MATLAB scripts and design tools provided to prototype multirate filters and verify system-level behavior
- Apply multirate building blocks within real communications architectures (e.g., multi-channel receivers, satellite/cable modems)
Topics Covered
- Introduction and Motivation — Multirate Concepts in Communications
- Sampling Rate Conversion: Basics, Imaging and Aliasing
- FIR Filter Design for Multirate Applications
- Polyphase Decomposition and Noble Identities
- Efficient Implementation: Multistage Structures and Computational Tradeoffs
- Fractional-Delay Filters and Interpolators
- Filter Banks and Quadrature Mirror Filters (QMF)
- Perfect and Near-Perfect Reconstruction Techniques
- Applications in Communications: Modems, Multi-Channel Receivers, and Audio Encoders
- Practical Considerations: Fixed-Point Implementation and Complexity
- MATLAB Examples, Scripts and Design Utilities
- Advanced Topics and Case Studies (radar/sonar, cable/satellite systems)
Languages, Platforms & Tools
How It Compares
More applied and communications-focused than P. P. Vaidyanathan's "Multirate Systems and Filter Banks" which is more theory-heavy; complements general DSP texts like Oppenheim & Schafer by concentrating on multirate implementation and applications.
