2. Time-Domain Representations for Linear Time-Invariant Systems

3. Fourier Representations for Signals and Linear Time-Invariant Systems

4. Applications of Fourier Representations and Mixed Signal Classes

5. Application to Communication Systems

6. Representation of Signals Using Continuous-Time Complex Exponentials: The Laplace Transform

7. Representation of Signals Using Discrete-Time Complex Exponentials: The z-Transform

8. Application to Filters and Equalizers

9. Application to Feedback Systems

10. Epilogue

Appendices

A. Selected Mathematical Identities

B. Partial Fraction Expansions

C. Tables of Fourier Representations and Properties

D. Tables of Laplace Transforms and Properties

E. Tables of z-Transforms and Properties

F. Introduction to Matlab