SIGNALS AND SYSTEMS

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