An introduction to digital signal processing with Mathcad
著者
書誌事項
An introduction to digital signal processing with Mathcad
（A Mathcad electronic book）
PWS Pub. Co., c1999
- タイトル別名
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Digital signal processing with Mathcad
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This work combines a text-based presentation of the core concepts of digital signal processing - including discrete signals and systems, sampling, discrete Fourier transforms, system function, frequency response, and filter design techniques - with a bound-in CD-ROM containing a complete implementation of the book running on the Mathcad< 7.0 computational engine. The book aims to strike an effective balance between mathematical foundations of DSP theory and practical DSP engineering applications. The CD-ROM provides a complete, electronic version of the book that is hyperlinked and cross-referenced to enable on-line readers to quickly navigate from one topic of interest to another. Integrated into this electronic book are interactive exercises and examples that run on the included, Windows 95 Mathcad 7.0 engine, which supports graphing, interactive mathematics, and dynamic visualization of processes in an easy-to-use graphical user interface. The result is a completely self-contained book and software environment for exploring DSP concepts, the underlying mathematics and applied problems.
目次
1. Digital Signals. 2. Digital (FIR) Filters. 3. Discrete Fourier Transform. 4. Discrete Fourier Transform Properties. 5. Fast Convolution. 6. Discrete-Time Fourier Transform. 7. Discrete-Time Fourier Transform Properties. 8. FIR Filters with Linear Phase. 9. FIR Filters: Geometric View. 10. FIR Design by Frequency Sampling. 11. FIR Design for SSB-AM Communications. 12. FIR Design by Windows. 13. FIR Design with an Optimal Window. 14. FIR Design for Equiripple 15. Sampling Analog Signals. 16. Interpolation. 17. Sampling Digital Signals. 18. Linear Difference Equations. 19. IIR Filters: Geometric View. 20. IIR Filters: Examples. 21. IIR Design for Given Magnitude. 22. IIR Design: Butterworth Filters. 23. IIR Design: Chebyshev Filters. 24. Stationary Random Sequences. 25. Estimating Random Sequences. 26. Spectral Density Estimation. 27. Digital Images. 28. Digital Image Filtering. 29. Adaptive FIR Filters. 30. Adaptive Equalization. 31. Radar Processing. 32. Imaging Radar. A Mathcad Tutorial.
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