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Digital signal processing demystified [electronic resource]

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James D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego.·Integrated book/software package allows readers to simulate digital signal processing (DSP) situations and experiment with effects of different DSP techniques.·Gives an applications-oriented approach to DSP instead of a purely mathematical one.·The accompanying CD includes a DSP ""calculator""

כותר Digital signal processing demystified [electronic resource] / by James D. Broesch.
כותרים נוספים DSP calculator.
מוציא לאור Solana Beach, Calif. : HighText publications
שנה c1997
הערות Description based upon print version of record.
Includes bibliographical references (p. 195) and index.
English
הערת תוכן ותקציר Front Cover
Digital Signal Processing Demystified
Copyright Page
Contents
About the Accompanying Software
What is the DSP Calculator?
About This Manual
Installation and General Information
Fungen
Fourier
DFT
FFT
Cmplxgen
REDISP
IMDISP
CONVOLVE
FLTRDSGN
Preface
Chapter 1. Digital Signal Processing
The Need for DSP
Advantages of DSP
Chapter Summary
Chapter 2. The General Model of a DSP System
Introduction
Input
Signal-conditioning Circuit
Anti-aliasing Filter
Analog-to-Digital Converter
Processor
Program Store, Data Store
Data Transmission
Display and User Input
Digital-to-Analog ConverterOutput Smoothing Filter
Output Amplifier
Output Transducer
Chapter 3. The Numerical Basis for DSP
Polynomials, Transcendental Functions, and Series Expansions
Limits
Integration
Oscillatory Motion
Complex Numbers
A Practical Example
Chapter 4. Signal Acquisition
Sampling Theory
Sampling Resolution
Chapter 5. Some Example Applications
Filters
A Simple Filter
Causality
Convolution
Chapter 6. The Fourier Series
Background
The Fourier SeriesThe Nyquist Theorem Completed
Chapter 7. Orthogonality and Quadrature
Orthogonality
Continuous Functions vs. Discrete Sequences
Orthogonality Continued
Quadrature
Chapter 8. Transforms
The z-Transform
Application of the DFT
The Fourier Transform
Properties of the Fourier Transform
The Laplace Transform
Chapter 9. FIR Filter Design
What is an FIR Filter?
Stability of FIR Filters
Cost of Implementation
FIR Filter Design Methodology
FIR Design Example
Chapter SummaryChapter 10: The IIR
Chapter 11. Tools for Working with DSP
DSP Learning Software
Spreadsheets
Programming Languages
General Mathematical Tools
Special-purpose DSP Tools
Software/Hardware Development Packages
In-circuit Emulators
World Wide Web
Chapter 12. DSP and the Future
Appendix A. Fundamentals of Engineering Calculus and Other Math Tools
Differential Calculus
Integral Calculus
Partial Derivatives
Taylor's Theorem
Appendix B. DSP Vendors
Mathematical Tool Vendors
DSP Chip Vendors
Board-level ProductsAppendix C. Useful Magazines and Other Publications
Additional Web Resources
Glossary
References
Index
סדרה Engineering mentor series
היקף החומר 1 online resource (233 p.)
שפה אנגלית
מספר מערכת 997010710619605171
תצוגת MARC

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