Very large scale integration architectures of discrete transforms for digital signal processing applications
Many discrete transforms, such as the fast Fourier transform (FFT), critical-band transform (CBT), and discrete wavelet packet transform (DWPT), have been successfully used in a wide range of digital signal processing (DSP) applications. However, these discrete transform algorithms are always comput...
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sg-ntu-dr.10356-414102023-07-04T17:05:06Z Very large scale integration architectures of discrete transforms for digital signal processing applications Wang, Chao Tong Yit Chow Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Many discrete transforms, such as the fast Fourier transform (FFT), critical-band transform (CBT), and discrete wavelet packet transform (DWPT), have been successfully used in a wide range of digital signal processing (DSP) applications. However, these discrete transform algorithms are always computational and memory intensive, which may result in a performance bottleneck, increase hardware implementation cost, or lead to significant power consumption. DOCTOR OF PHILOSOPHY (EEE) 2010-07-02T07:01:19Z 2010-07-02T07:01:19Z 2008 2008 Thesis Wang, C. (2008). Very large scale integration architectures of discrete transforms for digital signal processing applications. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/41410 10.32657/10356/41410 en 248 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Chao Very large scale integration architectures of discrete transforms for digital signal processing applications |
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Many discrete transforms, such as the fast Fourier transform (FFT), critical-band transform (CBT), and discrete wavelet packet transform (DWPT), have been successfully used in a wide range of digital signal processing (DSP) applications. However, these discrete transform algorithms are always computational and memory intensive, which may result in a performance bottleneck, increase hardware implementation cost, or lead to significant power consumption. |
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Tong Yit Chow |
author_facet |
Tong Yit Chow Wang, Chao |
format |
Theses and Dissertations |
author |
Wang, Chao |
author_sort |
Wang, Chao |
title |
Very large scale integration architectures of discrete transforms for digital signal processing applications |
title_short |
Very large scale integration architectures of discrete transforms for digital signal processing applications |
title_full |
Very large scale integration architectures of discrete transforms for digital signal processing applications |
title_fullStr |
Very large scale integration architectures of discrete transforms for digital signal processing applications |
title_full_unstemmed |
Very large scale integration architectures of discrete transforms for digital signal processing applications |
title_sort |
very large scale integration architectures of discrete transforms for digital signal processing applications |
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2010 |
url |
https://hdl.handle.net/10356/41410 |
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1772827639853088768 |