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Concepts in Systems and Signalsby John D. Sherrick
Synopses & Reviews
This innovative book for technology students presents both continuous and discrete domains under one cover. It reviews the foundations of continuous-time systems and introduces the concepts and analysis tools associated with signal spectra, with emphasis on periodic signals and the Discrete Fourier Transform. Topics include:
New to this edition are sections on the topics of spectral estimation, convolution, and correlation. A chapter has been added to cover applications of the Laplace and z transforms; the impulse invariance approach to converting from continuous-time to discrete-time systems is discussed. The book also contains an introduction to and lessons in MATLAB®.
This book provides a complete overview of the foundations of continuous-time systems, and introduces the “new circuit theory” of discrete-time systems. It looks at the concepts and analysis tools associated with signal spectra—focusing on periodic signals and the Discrete Fourier Transform, making readers aware of the capabilities of MATLAB. Topics include analysis techniques, frequency response, standard filters, spectral analysis, discrete-time signals and systems, IRR and FIR filter designs, and sampling strategies. For those involved in electrical, computer, and telecommunications engineering.
Table of Contents
1. Numbers, Arithmetic, and Mathematics.
The Number System. Rectangular/Polar Conversions. Euler's Identity. Complex-Number Arithmetic. Functions of a Complex Variable. Indeterminate Values. Introduction to MATLAB.
2. Continuous-Time Systems.
System Equations. The Exponential Signal. Phasor Transformations. Transfer Functions. The Natural Response. MATLAB Lesson 2.
3. Analysis Techniques.
Driving Point Impedance. Circuit Analysis in the s Domain. Feedback Diagram Elements. Block Diagram Reduction. Stability Tests. MATLAB Lesson 3.
4. Frequency Response.
Resonant Systems: L-C Circuits. Nonresonant Systems: R-C Circuits. The Decibel (dB). General Systems: R-L-C Circuits. MATLAB Lesson 4.
5. Standard Filters.
Ideal Filters. Filter Prototypes. Denormalization. Filter Transformations. Prototype Circuit Development. MATLAB Lesson 5.
6. Spectral Analysis.
Fourier Series. Parseval's Theorem. The Fourier Transform. Windows. MATLAB Lesson 6. Properties of Signals.
7. Sampled Signals.
Discrete Fourier Transform (DFT). Sampled Sinewaves. Discrete-Time Fourier Transform (DTFT). MATLAB Lesson 7. Selected DFT Applications.
8. Discrete-Time Systems.
The z Domain. Normalized Frequency. The Difference Equation. The Transfer Function. Stability in the z Domain. MATLAB Lesson 8.
9. IIR Filter Design.
Bilinear Transformation. MATLAB Lesson 9. IIR Implementation.
10. FIR Filter Design.
FIR from IIR. Symmetric Difference Equations. Window Designs. Frequency Sampling. MATLAB Lesson 10.
11. Sampling Strategies.
Oversampling and Decimation. Reconstruction and Interpolation. Bandpass Sampling.
12. Laplace and Z Transform Techniques.
The Laplace Transform. Laplace Transform Applications. The z Transform. z Transform Applications. Impulse Variance. Introduction to Control Systems. MATLAB Lesson 11.
Appendix A: DSP Hardware.
Appendix B: MATLAB Index.
Appendix C: Answers to the Odd Numbered Problems.
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