Digital signal processing / Thomas J. Cavicchi.
By: Cavicchi, Thomas J
.
Material type: 
BookPublisher: New York : J. Wiley, 2000Description: 793 pages. : illustration.ISBN: 0471124729 (alk. paper).Subject(s): Signal processing -- Digital techniquesDDC classification: 621.382 CAV-C 12263 2000 Review: "What are the relations between continuous-time and discrete-time / sampled-data systems, signals, and their spectra? How can digital systems be designed to replace existing analog systems? What is the reason for having so many transforms, and how do you know which one to use? What do s and z really mean, and how are they related? How can you use the fast Fourier transform (FFT) and other digital signal processing (DSP) algorithms to successfully process sampled signals?"--BOOK JACKET. "Inside, you'll find the answers to these and other fundamental questions on DSP. You'll gain a solid understanding of the key principles that will help you compare, select, and properly use existing DSP algorithms for an application. You'll also learn how to create original working algorithms or conceptual insights, design frequency-selective and optimal digital filters, participate in DSP research, and select or construct appropriate hardware implementations."--BOOK JACKET.
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Learning Resource Center University of Management and Technology, Sialkot Iqbal Campus
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621.382 CAV-C 12263 2000 12263 (Browse shelf) | Available | 112263 |
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| 621.382 BEA-M Modern electronic communication | 621.382 BEA-M Modern electronic communication | 621.382 BER-D 2018 11551 Digital communications : | 621.382 CAV-C 12263 2000 12263 Digital signal processing / | 621.382 CAV-D 2004 12263 Digital signal processing | 621.382 CHA-D Digital Switching Systems | 621.382 CHI-C Communication engineering |
"What are the relations between continuous-time and discrete-time / sampled-data systems, signals, and their spectra? How can digital systems be designed to replace existing analog systems? What is the reason for having so many transforms, and how do you know which one to use? What do s and z really mean, and how are they related? How can you use the fast Fourier transform (FFT) and other digital signal processing (DSP) algorithms to successfully process sampled signals?"--BOOK JACKET. "Inside, you'll find the answers to these and other fundamental questions on DSP. You'll gain a solid understanding of the key principles that will help you compare, select, and properly use existing DSP algorithms for an application. You'll also learn how to create original working algorithms or conceptual insights, design frequency-selective and optimal digital filters, participate in DSP research, and select or construct appropriate hardware implementations."--BOOK JACKET.
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