Digital Signal Processing with Student CD ROM
Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.
Why Read This Book
You should read this book if you want a balanced, application-oriented introduction to digital signal processing that pairs solid theory with extensive MATLAB examples so you can test and visualize algorithms quickly. It shows you how to move from transform theory to practical filter design, FFT-based analysis, and implementation issues relevant to real DSP projects.
Who Will Benefit
Senior undergraduates, first-year graduate students, and practicing engineers who need a practical, MATLAB-based treatment of DSP fundamentals and filter implementation.
Level: Intermediate — Prerequisites: Undergraduate calculus, signals & systems basics (continuous- and discrete-time), complex numbers, and basic familiarity with MATLAB or another numerical computing environment.
Key Takeaways
- Design and evaluate FIR and IIR digital filters using windowing, frequency sampling, and optimization methods.
- Apply and implement DFT and FFT algorithms for spectral analysis and efficient convolution.
- Analyze discrete-time systems using z-transforms and frequency-domain tools and assess stability and frequency response.
- Implement DSP algorithms and verify results using MATLAB scripts and examples.
- Understand multirate signal processing concepts (decimation, interpolation, filter banks) and their efficient realization.
- Assess finite-wordlength effects and practical implementation trade-offs for fixed-point DSP systems.
Topics Covered
- Introduction and Review of Signals & Systems
- Discrete-Time Signals and Systems; z-Transform
- Frequency Domain Analysis and the DTFT
- The Discrete Fourier Transform and FFT Algorithms
- FIR Filter Design Techniques
- IIR Filter Design and Realization
- Filter Structures and Implementation Considerations
- Finite Wordlength Effects and Quantization
- Multirate Signal Processing and Filter Banks
- Spectral Analysis and Estimation
- Adaptive Filtering (introductory topics)
- Computer-Based Examples and MATLAB Applications
Languages, Platforms & Tools
How It Compares
More application- and MATLAB-focused than Oppenheim & Schafer's 'Discrete-Time Signal Processing', and less encyclopedic/mathematical than Proakis & Manolakis, making Mitra a better choice for hands-on learning.
