Description

Book Synopsis
This title provides an integrated treatment of continuous-time and discrete-time forms of signals and systems intended to reflect their roles in engineering practice.

Table of Contents
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.

Signals and Systems

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    A Hardback by Simon Haykin, Barry Van Veen

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      Book details

      Publisher John Wiley and Sons Ltd
      Published 14 October 2002
      ISBN-13 9780471164746
      978-0471164746
      ISBN-10 0471164747
      Also in:
      Digital signal processing (DSP) Electronics and communications engineering

      Description

      Book Synopsis
      This title provides an integrated treatment of continuous-time and discrete-time forms of signals and systems intended to reflect their roles in engineering practice.

      Table of Contents
      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.

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