UNDERSTANDING DIGITAL SIGNAL PROCESSING By Richard G. Lyons - Hardcover

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Book Title
Understanding Digital Signal Processing
UPC
076092033608
ISBN-10
0201634678
ISBN
9780201634679
Categoría

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Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0201634678
ISBN-13
9780201634679
eBay Product ID (ePID)
484453

Product Key Features

Number of Pages
544 Pages
Publication Name
Understanding Digital Signal Processing
Language
English
Subject
Signals & Signal Processing, Telecommunications
Publication Year
1996
Type
Textbook
Subject Area
Technology & Engineering
Author
Richard G. Lyons
Format
Hardcover

Dimensions

Item Height
1.3 in
Item Weight
33.4 Oz
Item Length
9.5 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
96-028818
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
621.382/2
Table Of Content
Preface. 1. Discrete Sequences and Systems. Discrete Sequences and Their Notation. Signal Amplitude, Magnitude, Power. Signal Processing Operational Symbols. Introduction to Discrete Linear Time-Invariant Systems. Discrete Linear Systems. Time-Invariant Systems. The Commutative Property of Linear Time-Invariant Systems. Analyzing Linear Time-Invariant Systems. 2. Periodic Sampling. Aliasing: Signal Ambiquity in the Frequency Domain. Sampling Low-Pass Signals. Sampling Bandpass Signals. Spectral Inversion in Bandpass Sampling. 3. The Discrete Fourier Transform. Understanding the DFT Equation. DFT Symmetry. DFT Linearity. DFT Magnitudes. DFT Frequency Axis. DFT Shifting Theorem. Inverse DFT. DFT Leakage. Windows. DFT Scalloping Loss. DFT Resolution, Zero Stuffing, and Frequency-Domain Sampling. DFT Processing Gain. The DFT of Rectangular Functions. The DFT Frequency Response to a Complex Input. The DFT Frequency Response to a Real Cosine Input. The DFT Single-Bin Frequency Response to a Real Cosine Input. 4. The Fast Fourier Transform. Relationship of the FFT to the DFT. Hints on Using FFTs in Practice. FFT Software Programs. Derivation of the Radix-2 FFT Algorithm. FFT Input/Output Data Index Bit Reversal. Radix-2 FFT Butterfly Structures. 5. Finite Impulse Response Filters. An Introduction to Finite Impulse Response FIR Filters. Convolution in FIR Filters. Low-Pass FIR Filter Design. Bandpass FIR Filter Design. Highpass FIR Filter Design. Remez Exchange FIR Filter Design Method. Half-Band FIR Filters. Phase Response of FIR Filters. A Generic Description of Discrete Convolution. 6. Infinite Impulse Response Filters. An Introduction to Infinite Impulse Response Filters. The Laplace Transform. The z-Transform. Impulse Invariance IIR Filter Design Method. Bilinear Transform IIR Filter Design Method. Optimized IIR Filter Design Method. Pitfalls in Building IIR Digital Filters. Cascade and Parallel Combinations of Digital Filters. A Brief Comparison of IIR and FIR Filters. 7. Advanced Sampling Techniques. Quadrature Sampling. Quadrature Sampling with Digital Mixing. Digital Resampling. 8. Signal Averaging. Coherent Averaging. Incoherent Averaging. Averaging Multiple Fast Fourier Transforms. Filtering Aspects of Time-Domain Averaging. Exponential Averaging. 9. Digital Data Formats and Their Effects. Fixed-Point Binary Formats. Binary Number Precision and Dynamic Range. Effects of Finite Fixed-Point Binary Word Length. Floating-Point Binary Formats. Block Floating-Point Binary Format. 10. Digital Signal Processing Tricks. Frequency Translation without Multiplication. High-Speed Vector-Magnitude Approximation. Data Windowing Tricks. Fast Multiplication of Complex Numbers. Efficiently Performing the FFT of Real Sequences. Calculating the Inverse FFT Using the Forward FFT. Fast FFT Averaging. Simplified FIR Filter Structure. Accurate A/D Converter Testing Technique. Fast FIR Filtering Using the FFT. Calculation of Sines and Cosines of Consecutive Angles. Generating Normally Distributed Random Data. Appendix A: The Arithmetic of Complex Numbers. Graphical Representation of Real and Complex Numbers. Arithmetic Representation of Complex Numbers. Arithmetic Operations of Complex Numbers. Some Practical Implications of Using Complex Numbers. Appendix B: Closed Form of a Geometric Series. Appendix C: Complex Signals and Negative Frequency. Development of Imaginary Numbers. Representing Real Signals Using Complex Phasors. Representing Real Signals Using Negative Frequencies. Complex Signals and Quadrature Mixing. Appendix D: Mean, Variance, and Standard Deviation Statistical Measures. Standard Deviation, or RMS, of a Continuous Sinewave. The Mean and Variance of Random Functions. The Normal Probability Density Function. E. Decibels (dB and dBm.) Using Logarithms to Determine Relative Signal Power. Some Useful Decibel Numbers. Absolute Power Using Decibels. F. Digital Filter Terminology. Index.
Synopsis
Using intuitive explanations and well-chosen examples, this book gives you the tools to develop a fundamental understanding of DSP theory. The author covers the essential mathematics by explaining the meaning and significance of the key DSP equations. Comprehensive in scope, and gentle in approach, the book will help you achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications. The book begins with a complete explanation of the often misunderstood topic of periodic sampling. The introduction to the important discrete Fourier transform, and its fast Fourier transform (FFT) implementation, is the most lucid and illuminating explanation available anywhere. You will also find extensive information on both finite impulse response (FIR) and infinite impulse response (IIR) digital filters, as well as coverage of the benefits of signal averaging. In addition, the book demystifies the abstruse topics of the Convolution theorem and complex signals. The practical uses of various binary number formats are also carefully described and compared. Finally, a collection of tricks-of-the-trade used by professionals to make DSP algorithms more effi, Understanding Digital Signal Processing presents both the theory and application of DSP in an approachable manner, using graphical examples and clear explanations. The book illustrates the techniques using practical examples and provides a comprehensive discussion of the important topics of periodic sampling and discrete Fourier transforms.
LC Classification Number
TK5102.9.L96 1997

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