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Signal Processing First
James H. McClellan, Georgia Institute of Technology
Ronald W. Schafer, Georgia Institute of Technology
Mark A. Yoder, Rose-Hulman Institute of Technology

ISBN-10: 0130909998
ISBN-13:  9780130909992

Publisher:  Prentice Hall
Copyright:  2003
Format:  Cloth Bound w/CD-ROM; 489 pp
Published:  02/26/2003
Status: Instock


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Description

For introductory courses (sophomore/junior) in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits.

This text is derived from DSP First: A Multimedia Approach, published in 1997, which filled an emerging need for a new entry-level course not centered on analog circuits in the ECE curriculum. It was also successfully used in 80 universities as a core text for linear systems and beginning signal processing courses. This derivative product, Signal Processing First [SPF] contains similar content and presentation style, but focuses on analog signal processing. Note: DSP First: A Multimedia Approach remains in print for those who choose a digital emphasis for their introductory course.


Features

  • Four new chapters on analog signal processing systems, plus many updates and enhancements.
  • Creative use of innovative, computer technology—Makes abstract content more accessible, enabling it to reach a wider range of students. Unique features from this work, such as visual learning animations, hands-on demonstrations, and integrated laboratories in multimedia format are widely hailed as essential learning tools for mastering fundamental concepts.
  • Many actual signals and sound files can be viewed with a Web browser or imported into MATLAB.
  • Archive of hundreds of solved exercises on CD, plus much more.


Table of Contents



1. Introduction.

Mathematical Representation of Signals. Mathematical Representation of Systems. Thinking about Systems.



2. Sinusoids.

Tuning Fork Experiment. Review of Sine and Cosine Functions. Sinusoidal Signals. Sampling and Plotting Sinusoids. Complex Exponentials and Phasors. Phasor Addition. Physics of the Tuning Fork. Time Signals: More Than Formulas.



3. Spectrum Representation.

The Spectrum of a Sum of Sinusoids. Beat Notes. Periodic Waveforms. More Periodic Signals. Fourier Series Analysis and Synthesis. Time-Frequency Spectrum. Frequency Modulation: Chirp Signals.



4. Sampling and Aliasing.

Sampling. Spectrum View of Sampling and Reconstruction. Strobe Demonstration. Discrete-to-Continuous Conversion. The Sampling Theorem.



5. FIR Filters.

Discrete-Time Systems. The Running Average Filter. The General FIR Filter. Implementation of FIR Filters. Linear Time-Invariant (LTI) Systems. Convolution and LTI Systems. Cascaded LTI Systems. Example of FIR Filtering.



6. Frequency Response of FIR Filters.

Sinusoidal Response of FIR Systems. Superposition and the Frequency Response. Steady State and Transient Response. Properties of the Frequency Response. Graphical Representation of the Frequency Response. Cascaded LTI Systems. Running-Average Filtering. Filtering Sampled Continuous-Time Signals.



7. z-Transforms.

Definition of the z-Transform. The z-Transform and Linear Systems. Properties of the z-Transform. The z-Transform as an Operator. Convolution and the z-Transform. Relationship between the z -Domain and the <F128>w-Domain. Useful Filters. Practical Bandpass Filter Design. Properties of Linear Phase Filters.



8. IIR Filters.

The General IIR Difference Equation. Time-Domain Response. System Function of an IIR Filter. Poles and Zeros. Frequency Response of an IIR Filter. Three Domains. The Inverse z-Transform and Some Applications. Steady-State Response and Stability. Second-Order Filters. Frequency Response of Second-Order IIR Filter. Example of an IIR Lowpass Filter.



9. Continuous-Time Signals and LTI Systems.

Continuous-Time Signals. The Unit Impulse. Continuous-Time Systems. Linear Time-Invariant Systems. Impulse Responses of Basic LTI Systems. Convolution of Impulses. Evaluating Convolution Integrals. Properties of LTI Systems. Using Convolution to Remove Multipath Distortion.



10. The Frequency Response.

The Frequency Response Function for LTI Systems. Response to Real Sinusoidal Signals. Ideal Filters. Application of Ideal Filters. Time-Domain or Frequency-Domain?



11. Continuous-Time Fourier Transform.

Definition of the Fourier Transform. The Fourier Transform and the Spectrum. Existence and Convergence of the Fourier Transform. Examples of Fourier Transform Pairs. Properties of Fourier Transform Pairs. The Convolution Property. Basic LTI Systems. The Multiplication Property. Table of Fourier Transform Properties and Pairs. Using the Fourier Transform for Multipath Analysis.



12. Filtering, Modulation, and Sampling.

Linear Time-Invariant Systems. Sinewave Amplitude Modulation. Sampling and Reconstruction.



13. Computing the Spectrum.

Finite Fourier Sum. Too Many Fourier Transforms? Time-windowing. Analysis of a Sum of Sinusoids. Discrete Fourier Transform. Spectrum Analysis of Finite-Length Signals. Spectrum Analysis of Periodic Signals. The Spectrogram. The Fast Fourier Transform (FFT).



Appendix A: Complex Numbers.

Notation for Complex Numbers. Euler's Formula. Algebraic Rules for Complex Numbers. Geometric Views of complex Operations. Powers and Roots.



Appendix B: Programming in MATLAB.

MATLAB Help. Matrix Operations and Variables. Plots and Graphics. Programming Constructs. MATLAB Scripts. Writing a MATLAB Function. Programming Tips.



Appendix C: Laboratory Projects.

Introduction to MATLAB. Encoding and Decoding Touch-Tone Signals. Two Convolution GUIs.



Appendix D: CD-ROM Demos.


Index.



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This best-selling, hands-on, multimedia package provides an introduction to fundamental concepts, specifically discrete-time systems, for beginning engineering students. Created and written by the same well-respected authors, it has been adopted in over 100 institutions worldwide since publication. This class-tested learning package is also widely used as a self-teaching tool to discover more about USP applications, multimedia signals, and MATLAB®. Unique features such as visual learning demonstrations, MATLAB laboratories, and a bank of solved homework problems are just a few of the things that make this an essential learning tool for mastering fundamental concepts in today's electrical and computer engineering curricula.

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