For undergraduate-level courses in Signals and Systems.
This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.
1. Signals and Systems.
2. Linear Time-Invariant Systems.
3. Fourier Series Representation of Periodic Signals.
4. The Continuous-Time Fourier Transform.
5. The Discrete-Time Fourier Transform.
6. Time- and Frequency Characterization of Signals and Systems.
7. Sampling.
8. Communication Systems.
9. The Laplace Transform.
10. The Z-Transform.
11. Linear Feedback Systems.
Bibliography.
Answers.
Index.
