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Cover type: Hardback

Edition: 2ND 05

Copyright: 2005

Publisher: Prentice Hall, Inc.

Published: 2005

International: No

Edition: 2ND 05

Copyright: 2005

Publisher: Prentice Hall, Inc.

Published: 2005

International: No

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For junior-level courses in Continuous-Time and Discrete-Time Systems and Signals, and Using MATLAB in Systems and Signals, in electrical, computer, and telecommunications engineering technology programs. Students must be comfortable with calculus.

This text provides a comprehensive review of the foundations of continuous-time systems, and introduces, with equal emphasis, 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, and makes students 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.

**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.

Index.

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Summary

For junior-level courses in Continuous-Time and Discrete-Time Systems and Signals, and Using MATLAB in Systems and Signals, in electrical, computer, and telecommunications engineering technology programs. Students must be comfortable with calculus.

This text provides a comprehensive review of the foundations of continuous-time systems, and introduces, with equal emphasis, 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, and makes students 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.

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.

Index.

Publisher Info

Publisher: Prentice Hall, Inc.

Published: 2005

International: No

Published: 2005

International: No

This text provides a comprehensive review of the foundations of continuous-time systems, and introduces, with equal emphasis, 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, and makes students 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.

**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.

Index.