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Concepts in Systems and Signals de John D. Sherrick

Concepts in Systems and Signals

Autor John D. Sherrick
en Limba Engleză Paperback – 29 feb 2004

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. "

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Specificații

ISBN-13: 9780131782716
ISBN-10: 0131782711
Pagini: 464
Dimensiuni: 185 x 231 x 25 mm
Greutate: 0.82 kg
Ediția:Nouă
Editura: Pearson
Locul publicării:Upper Saddle River, United States

Descriere

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.

Cuprins



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.

Textul de pe ultima copertă

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:

  • Analysis techniques
  • Frequency response
  • Standard filters
  • Spectral analysis
  • Discrete-time signals and systems
  • IRR and FIR filter designs
  • Sampling strategies

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(R).

Caracteristici

  • NEW - Sections—Includes such topics as spectral estimation, convolution, and correlation.
    • Gives students topical additions that discuss the continuous-time Fourier transform more fully.
  • NEW - Chapter on applications of the Laplace and z transforms.
    • Gives students the impulse variance approach to converting from continuous-time to discrete-time systems.
  • Equal coverage of continuous (s) and discrete (z) domains for engineering/technology -level courses.
    • Extends for students the phasors of a-e circuit analysis to the discrete-time domain.
  • Systematical introduction to MATLAB —Integrates lessons with concepts.
    • Demonstrates for students concepts and applications without specializing in a particular processor or a lot of programming.
  • Various applications of DFT (Discrete Fourier Transform).
    • Enables students to find the Fourier series coefficients.
  • Filter design techniques.
    • Presents students with filter design as a common focus for the two domains and shows the use of digital filters to filter signal files.
  • Sampling theorem—Presented at two levels of mathematical sophistication.
    • Provides students with a key issue in converting between the continuous and discrete domains—deduced from sampled sinusoids, and derived more formally using the definition of an ideal sampler.

Caracteristici noi

  • Sections—Includes such topics as spectral estimation, convolution, and correlation.
    • Gives students topical additions that discuss the continuous-time Fourier transform more fully.
  • Chapter on applications of the Laplace and z transforms.
    • Gives students the impulse variance approach to converting from continuous-time to discrete-time systems.