An innovative introduction to the foundations of signals, systems, and transforms, emphasising discrete-time concepts, and smoothing the transition towards study of Digital Signal Processing (DSP). With real-world examples throughout, and over 325 end-of-chapter problems. Ideal for sophomore and junior students in electrical engineering.
An innovative introduction to the foundations of signals, systems, and transforms, emphasising discrete-time concepts, and smoothing the transition towards study of Digital Signal Processing (DSP). With real-world examples throughout, and over 325 end-of-chapter problems. Ideal for sophomore and junior students in electrical engineering.
P. P. Vaidyanathan is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology. A Life Fellow of IEEE, he has been awarded the IEEE Gustav Robert Kirchhoff Award, the IEEE Signal Processing Society's Shannon-Nyquist Technical Achievement Award, the IEEE Signal Processing Society's Carl Friedrich Gauss Education Award, the Norbert Wiener Society Award, and the EURASIP Athanasios Papoulis Award. He is a Foreign Fellow of the Indian National Academy of Engineering and a member of the U.S. National Academy of Engineering.
Inhaltsangabe
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.
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.
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