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...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Chao
Other Authors: Tong Yit Chow
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/41410
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
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.