Digital Signal Processing Design (Electrical Engineering, Communications, and Signal Processing)
This book is aimed primarily at the engineer or designer who is familiar with the theory and practice of analog system design and requires an introduction to DSP technology. It is also intended as a general handbook of processing algorithms and circuit design techniques for the experienced engineer, forming the basis for more advanced system development. The material is presented in the form of specific algorithms and explanatory material on hardware implementation so that the reader can tackle a section of the book and immediately try out a related design. The book has been written so that a progressive development of understanding of the theoretical background to DSP can be established with sufficient theory to allow the reader to modify, extend and invent algorithms without running foul of fundamental theoretical constraints. Extensive references are provided to enable theoretical progress beyond the scope of the text. The book is in three sections. The first provides the context for the remainder, outlining the fundamental differences in approach between analog and digital signal processing design and giving a brief description of the architecture, instruction sets and performance of many typical DSP chips. The middle section, which constitutes the bulk of the book, covers general application areas (including filtering, spectral analysis, communications systems, speech processing) providing, in effect, a library of DSP algorithms accompanied in many cases by implementation examples based upon the Texas Instruments TMS 320 series of DSP devices. The final section is devoted to hardware design.
Why Read This Book
You will get a practical, hands-on bridge from analog system design to DSP, with concrete algorithms and implementation guidance so you can prototype and deploy real designs. The book emphasizes hardware-aware considerations (quantization, fixed-point arithmetic, filter structures) that help you move from theory to working systems.
Who Will Benefit
Analog/system design engineers and practicing electrical engineers who need a pragmatic introduction to DSP algorithms and hardware implementation for real-world projects.
Level: Intermediate — Prerequisites: Basic signals & systems and undergraduate-level calculus; familiarity with analog circuit concepts and routine engineering mathematics. Some programming experience (C/assembly) helps but is not strictly required.
Key Takeaways
- Design practical FIR and IIR digital filters and convert classic analog designs into discrete implementations.
- Analyze and mitigate quantization and finite-word‑length effects for fixed-point implementations.
- Implement FFT-based algorithms and understand their use-cases and complexity trade-offs.
- Choose and optimize filter structures (direct, cascade, lattice, transposed) for hardware realizations.
- Integrate ADC/DAC and front-end considerations into DSP system designs.
- Translate algorithmic designs into hardware-aware code or circuits suitable for DSP processors and microcontrollers.
Topics Covered
- Introduction: From Analog to Digital Signal Processing
- Basic Discrete-Time Signals and Systems
- Transforms: DTFT, Z-Transform, DFT and Properties
- FFT Algorithms and Practical Considerations
- FIR Filter Design Techniques and Windows
- IIR Filter Design and Analog Prototypes
- Finite Word Length Effects and Fixed-Point Arithmetic
- Filter Structures and Implementation (Direct, Cascade, Lattice)
- ADC/DAC Interfaces and Analog Front-End Issues
- Hardware Implementation: DSP Processors and Microcontrollers
- Optimization and Practical Design Examples
- Appendices: Tables, Reference Algorithms, Component Notes
Languages, Platforms & Tools
How It Compares
More implementation- and hardware-oriented than Oppenheim & Schafer's Discrete-Time Signal Processing, and less mathematically rigorous than Proakis & Manolakis; for a more accessible modern alternative see Lyons' Understanding Digital Signal Processing.
