Digital signal processing : Principles, algorithms and system design
Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, w...
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Tác giả chính: | |
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Định dạng: | Sách |
Ngôn ngữ: | Undetermined |
Được phát hành: |
Amsterdam
Academic Press is an imprint of Elsevier
2017
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Những chủ đề: | |
Các nhãn: |
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Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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LEADER | 01468nam a2200217Ia 4500 | ||
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001 | CTU_236247 | ||
008 | 210402s9999 xx 000 0 und d | ||
082 | |a 621.3822 | ||
082 | |b A374 | ||
100 | |a Alexander, Winser E. | ||
245 | 0 | |a Digital signal processing : | |
245 | 0 | |b Principles, algorithms and system design | |
245 | 0 | |c Winser E. Alexander, Cranos M. Williams | |
260 | |a Amsterdam | ||
260 | |b Academic Press is an imprint of Elsevier | ||
260 | |c 2017 | ||
520 | |a Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. | ||
650 | |a Xử lý tín hiệu,Signal processing | ||
650 | |x Kỹ thuật số,Digital techniques | ||
910 | |b dqhieu | ||
980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ |