Signals and Systems
Language: English Publication details: Noida : Pearson, 2025.Edition: 2ndDescription: 944p. : ill. ; 23 cmISBN:- 9789332550230
- D65,494 Q5-;11
Textual
Includes Bibliography and Index
Signals and systems ( 2nd Edition-2016) Signals and Systems (2nd Edition, 2016) by Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab Signals and Systems (2nd Edition), published by Pearson, is a foundational textbook widely used in electrical engineering, computer engineering, and related disciplines. Authored by renowned professors Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, the book provides a comprehensive and mathematically rigorous introduction to the fundamental concepts of signal processing and system analysis. The text explores both continuous-time and discrete-time signals and systems, integrating them in a unified framework. It begins with the basics of signal classification and system properties, and progresses to advanced topics like Fourier series and transforms, Laplace and Z-transforms, convolution, sampling, state-space analysis, and filtering. One of the book’s strengths is its emphasis on both theoretical foundations and practical relevance, making it suitable for academic and applied learning. This edition continues to offer a clear narrative style, extensive examples, and illustrative figures that help bridge the gap between abstract theory and real-world applications. Problem sets at the end of each chapter are well-designed to reinforce concepts and challenge students' understanding. Oppenheim and his co-authors are known for their deep pedagogical insight, and this edition retains their approach of making difficult material accessible without oversimplifying. The book also integrates MATLAB-based exercises to aid students in computational analysis, though it remains fully usable without MATLAB. In summary, Signals and Systems (2nd Edition) is a seminal text that balances depth and clarity. It is ideal for undergraduate courses and as a reference for professionals seeking a deeper understanding of signal and system behavior in the time and frequency domains
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