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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    View other formats and editions of Signals and Systems by Simon Haykin

    Publisher: John Wiley and Sons Ltd
    Publication Date: 14/10/2002
    ISBN13: 9780471164746, 978-0471164746
    ISBN10: 0471164747
    Also in:
    Computing 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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