Digital signal processing demystified [electronic resource]
להגדלת הטקסט להקטנת הטקסט- ספר
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. |
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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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