Signals and Systems, 2/E

Reaching the conceptual peaks of signals and systems can be a challenge. But well-known authors Simon Haykin and Barry Van Veen help you clearly see connections among concepts and recognize the relevance of signals and systems to the broader field of electrical engineering.

Features
* New problems: The new edition includes opportunities for demonstration and practice throughout.
* New themed examples: Six new themed examples demonstrate the range of problems to which signal and system concepts can be applied, including RC circuits, MEMS accelerometer, radar range measurement, moving average system, multipath communication channel, and first order recursive discrete time computation. The authors revisit these themed examples using different mathematical tools to show how each tool give unique insight into the problem at hand in the context of a real world problem.
* New coverage throughout: Contains new sections on MEMS and derivatives of the unit-impulse function, the Costas receiver for demodulation of double sideband-suppressed carrier-modulated signals, and the fundamental notion of feedback and 'why feedback', as well as more detailed treatment of wavelets and the stability of nonlinear feedback systems. A new section on noise has also been added to Chapter 1. Chapter 4 now focuses exclusively on building bridges between the four basic Fourier representation for applications in which there is a missing of signal classes.
* Many opportunities for practice: All examples are based on real-world problems and emphasize the correct mathematical steps needed for applying the theory. Problems vary from drill-based to complex, so you'll have plenty of room topractice.
* Integrated, flexible coverage of MATLAB: MATLAB techniques and uses, as well as MATLAB practice problems, and provided at the end of each chapter.

Chapter 1. Introduction
Chapter 2. Time-Domain Representations of Linear Time-Invariant Systems
Chapter 3. Fourier Representations of Signals and Linear Time Invariant Systems
Chapter 4. Applications of Fourier Representations to Mixed Signal Classes
Chapter 5. Application to Communication Systems
Chapter 6. Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform
Chapter 7. Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform
Chapter 8. Application to Filters and Equalizers
Chapter 9. Application to Linear Feedback Systems
Chapter 10. Epilogue

Appendix A: Selected Mathematical Identities
Appendix B: Partial-Fraction Expansions
Appendix C: Tables of Fourier Representations and Properties
Appendix D: Tables of Laplace Transforms and Properties
Appendix E: Tables of z-Transforms and Properties
Appendix F: Introduction to MATLAB
Index.