Signal Processing First
Designed and written by experienced and well-respected authors, this hands on, multi-media package provides a motivating introduction to fundamental concepts, specifically discrete-time systems. Unique features such as visual learning demonstrations, MATLAB laboratories and a bank of solved problems are just a few things that make this an essential learning tool for mastering fundamental concepts in today's electrical and computer engineering forum. Covers basic DSP concepts, integrated laboratory projects—related to music, sound and image processing. Other topics include new MATLAB functions for basic DSP operations, Sinusoids, Spectrum Representation, Sampling and Aliasing, FIR Filters, Frequency Response of FIR Filters, z-Transforms, IIR Filters, and Spectrum Analysis. Useful as a self-teaching tool for anyone eager to discover more about DSP applications, multi-media signals, and MATLAB.
Why Read This Book
You should read this book if you want a friendly, example-rich introduction to discrete-time signal processing that emphasizes intuition and hands-on learning with MATLAB labs and audio/image examples. It grounds core topics (sampling, spectra, DFT/FFT, FIR/IIR design) with visual demonstrations and practical exercises so you can see concepts applied to real signals quickly.
Who Will Benefit
Undergraduate EE/CS students, graduate newcomers to DSP, and practicing engineers looking for a practical, lab-oriented entry to DSP and digital filter design.
Level: Beginner — Prerequisites: Basic calculus and complex numbers, basic linear algebra (vectors/matrices); familiarity with MATLAB is helpful but not required.
Key Takeaways
- Explain sampling, aliasing, and how continuous and discrete spectra relate
- Apply the DFT and use the FFT to compute and interpret signal spectra
- Design basic FIR filters using windowing methods and understand their frequency responses
- Design basic IIR filters and use z-transform concepts to analyze stability and frequency behavior
- Implement and test DSP algorithms in MATLAB and analyze audio/image examples
- Interpret spectral estimates and use simple windowing/spectral-analysis techniques on real signals
Topics Covered
- Introduction to Discrete-Time Signals and Systems
- Sinusoids, Complex Exponentials, and Spectrum Representation
- Sampling, Aliasing, and Discrete-Time Modeling of Continuous Signals
- The z-Transform and Discrete-Time System Functions
- Frequency Domain Analysis and the Discrete-Time Fourier Transform
- The Discrete Fourier Transform (DFT) and the FFT
- FIR Filter Design: Window Methods and Frequency Sampling
- IIR Filter Design: Analog Prototypes and Bilinear Transform
- Filter Structures, Implementation Issues, and Quantization Effects
- Spectral Analysis and Windowing for Practical Signals
- Laboratory Projects: MATLAB Exercises with Audio, Sound and Image Examples
- Appendices: MATLAB Basics and Mathematical Background
Languages, Platforms & Tools
How It Compares
More accessible and lab-focused than Oppenheim & Schafer's Discrete-Time Signal Processing, and comparable in intuition to Richard Lyons' Understanding Digital Signal Processing but with structured MATLAB laboratory exercises.
