Introductory Digital Signal Processing with Computer Applications
Introductory Digital Signal Processing with Computer Applications Second Edition Paul A. Lynn formerly: Imperial College of Science, Technology and Medicine, London, UK and Wolfgang Fuerst United Nations, New York, USA "An excellent introductory book" (Review of the First Edition in the International Journal of Electrical Engineering Education) ".it will serve as a reference book in this area for a long time" (Review of Revised Edition in Zentralblatt für Mathematik (Germany)) Firmly established over the last decade as the essential introductory Digital Signal Processing (DSP) text, this second edition reflects the growing importance of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving approach to DSP continues in this new material, which is packed up by additional worked examples and computer programs. The book now features:
* fundamentals of digital signals and systems
* time and frequency domain analysis and processing, including digital convolution and the Discrete and Fast Fourier Transforms
* design and practical application of digital filters
* description and processing of random signals, including correlation, filtering, and the detection of signals in noise
Programs in C and equivalent PASCAL can be found on the books supplementary website. Typical results and graphic plots from all the programs are illustrated and discussed in the main text. The overall approach assumes no prior knowledge of electronics, computing, or DSP. An ideal text for undergraduate students in electrical, electronic and other branches of engineering, computer science, applied mathematics and physics. Practising engineers and scientists will also find this a highly accessible introduction to an increasingly important field.
Why Read This Book
Read this book if you want a practical, approachable first course in digital signal processing. Its strength is the combination of core theory with computer-based examples, making it useful for understanding how DSP concepts are applied and implemented rather than just memorized.
Who Will Benefit
Undergraduate students in electrical, electronic, computer, and applied science programs will benefit most, especially those taking their first DSP course. Practicing engineers and scientists who need a structured refresher on foundational DSP methods will also find it useful.
Level: Beginner — Prerequisites: No prior knowledge of electronics, programming, or digital signal processing is assumed. Basic algebra and comfort with mathematical notation are helpful; familiarity with signals, calculus, complex numbers, and discrete-time concepts will make the material easier to follow.
Key Takeaways
- Understand discrete-time signals and systems and how they differ from analog concepts.
- Analyze signals in the time and frequency domains using convolution, the DFT, and the FFT.
- Design and apply basic digital filters for practical signal-processing tasks.
- Work with random signals, including correlation, noise, and signal detection.
- Use computer programs to verify DSP results and visualize responses and spectra.
- Build a foundation for later work in audio, communications, instrumentation, and other DSP applications.
Topics Covered
- Introduction to Digital Signal Processing
- Discrete-Time Signals and Systems
- Sampling and Reconstruction
- Time-Domain Analysis and Convolution
- Frequency-Domain Analysis
- The Discrete Fourier Transform
- The Fast Fourier Transform
- Digital Filter Design Basics
- FIR and IIR Filters
- Random Signals and Noise
- Correlation and Spectral Analysis
- Signal Detection in Noise
Languages, Platforms & Tools
How It Compares
Compared with more theory-heavy DSP books, this one is more introductory and application-oriented, with a strong emphasis on worked examples and computer programs. It is less advanced than texts such as Oppenheim and Schafer’s DSP books, but more accessible for first-time readers who want a practical entry point.
