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. Special Features · Design and MATLAB concepts have been integrated in the text · Integrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology Table of Content · 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: