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.

Design and MATLAB concepts have been integrated in text. Integrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology.