Signals, Systems, and Signal Processing

An innovative introduction to the foundations of signals and systems, smoothing the transition towards study of digital signal processing.

P. P. Vaidyanathan (Author)

9781009412292, Cambridge University Press

Hardback, published 13 June 2024

726 pages
26.1 x 18.5 x 3.9 cm, 1.61 kg

'I find that this textbook is complete in its content coverage of relevant Signal, Systems, & Signal Processing principles, methodologies and techniques. One of the best new publications available to aid both students and practicing engineers in understanding the important concepts to master in this ever-evolving discipline of engineering.' Spike Horrigan, University of North Carolina Wilmington

This innovative introduction to the foundations of signals, systems, and transforms emphasises discrete-time concepts, smoothing the transition towards more advanced study in Digital Signal Processing (DSP). A digital-first approach, introducing discrete-time concepts from the beginning, equips students with a firm theoretical foundation in signals and systems, while emphasising topics fundamental to understanding DSP. Continuous-time approaches are introduced in later chapters, providing students with a well-rounded understanding that maintains a strong digital emphasis. Real-world applications, including music signals, signal denoising systems, and digital communication systems, are introduced to encourage student motivation. Early introduction of core concepts in digital filtering, DFT and FFT provide a frictionless transition through to more advanced study. Over 325 end-of-chapter problems, and over 50 computational problems using Matlab. Accompanied online by solutions and code for instructors, this rigorous textbook is ideal for undergraduate students in electrical engineering studying an introductory course in signals, systems, and signal processing.

1. Introduction and overview
2. Fundamentals of signals and systems
3. Linear time invariant systems
4. Digital filters and filter structures
5. Recursive difference equations
6. The z-transform and its inverse
7. More on digital filters
8. Difference equations with nonzero IC
9. The continuous-time Fourier Transform
10. Sampling a continuous-time signal
11. The Fourier series
12. The DFT and the FFT
13. The Laplace transform
14. State space descriptions
15. More on bandlimited signals
16. Sampling based on sparsity
17. Mathematical intricacies
18. Review of matrices
Bibliography.

Subject Areas: Communications engineering / telecommunications [TJK]