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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Format: | Theses and Dissertations |
Language: | English |
Published: |
2010
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Online Access: | https://hdl.handle.net/10356/41410 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | 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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