The text provides a balanced and integrated treatment of continuous-time and discrete-time forms of signals and systems intended to reflect their roles in engineering practice. This approach has the pedagogical advantage of helping the reader see the fundamental similarities and differences between discrete-time and continuous-time representations. It includes a discussion of filtering, modulation and feedback by building on the fundamentals of signals and systems covered in earlier chapters of the book. Table Of Contents: ?Introduction ?Time-Domain Representations of Linear Time-Invariant Systems ?Fourier Representations of Signals and Linear Time Invariant Systems ?Applications of Fourier Representations to Mixed Signal Classes ?Application to Communication Systems ?Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform ?Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform ?Application to Filters and Equalizers ?Application to Linear Feedback Systems ?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 Special Features: Electrical Engineers
Simon Haykin was a Canadian electrical engineer noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom Technology. He was a Distinguished University Professor at McMaster University in Hamilton, Ontario, Canada.
Do not read this book for your introductory course in Signals and Systems. The book is long, verbose, difficult to read and containing unnecessary information (say tons of problems on electricity circuit). You should go for "Schaums Outlines: Signals and Systems".