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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.
List of contents
- 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.
Summary
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.
