Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT

碩士 === 國立中正大學 === 資訊工程研究所 === 89 === With the rapid progress of VLSI design technologies, many processors based on audio and image signal processing have been developed recently. In this thesis, we present a design methodology for the implementation of high-performance 2-D discrete wavele...

Full description

Bibliographic Details
Main Authors: Yan-Sheng Li, 李延昇
Other Authors: Yun-Nan Chang
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/63555366679415931815
id ndltd-TW-089CCU00392081
record_format oai_dc
spelling ndltd-TW-089CCU003920812016-07-06T04:09:53Z http://ndltd.ncl.edu.tw/handle/63555366679415931815 Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT 高效率正反離散小波轉換器之設計 Yan-Sheng Li 李延昇 碩士 國立中正大學 資訊工程研究所 89 With the rapid progress of VLSI design technologies, many processors based on audio and image signal processing have been developed recently. In this thesis, we present a design methodology for the implementation of high-performance 2-D discrete wavelet transform (DWT) and inverse DWT (IDWT). By exploiting the multi-rate feature inherent in the algorithms, an effective schedule that interleaves all the row-wise and column-wise computations of different octaves onto three fundamental convolutional filters is proposed. Based on this computation schedule, very high efficient architectures can be synthesized. The resulting architectures can not only achieve fast computation time at less silicon cost due to nearly full hardware utilization, but they are also simple and modular, making them very suitable for VLSI implementation. Furthermore the proposed design methodology enables the design of the configurable architecture that can process both DWT and IDWT. Yun-Nan Chang 張雲南 2001 學位論文 ; thesis 37 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中正大學 === 資訊工程研究所 === 89 === With the rapid progress of VLSI design technologies, many processors based on audio and image signal processing have been developed recently. In this thesis, we present a design methodology for the implementation of high-performance 2-D discrete wavelet transform (DWT) and inverse DWT (IDWT). By exploiting the multi-rate feature inherent in the algorithms, an effective schedule that interleaves all the row-wise and column-wise computations of different octaves onto three fundamental convolutional filters is proposed. Based on this computation schedule, very high efficient architectures can be synthesized. The resulting architectures can not only achieve fast computation time at less silicon cost due to nearly full hardware utilization, but they are also simple and modular, making them very suitable for VLSI implementation. Furthermore the proposed design methodology enables the design of the configurable architecture that can process both DWT and IDWT.
author2 Yun-Nan Chang
author_facet Yun-Nan Chang
Yan-Sheng Li
李延昇
author Yan-Sheng Li
李延昇
spellingShingle Yan-Sheng Li
李延昇
Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
author_sort Yan-Sheng Li
title Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
title_short Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
title_full Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
title_fullStr Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
title_full_unstemmed Design of Highly Efficient VLSI Architecture for 2-D DWT and 2-D IDWT
title_sort design of highly efficient vlsi architecture for 2-d dwt and 2-d idwt
publishDate 2001
url http://ndltd.ncl.edu.tw/handle/63555366679415931815
work_keys_str_mv AT yanshengli designofhighlyefficientvlsiarchitecturefor2ddwtand2didwt
AT lǐyánshēng designofhighlyefficientvlsiarchitecturefor2ddwtand2didwt
AT yanshengli gāoxiàolǜzhèngfǎnlísànxiǎobōzhuǎnhuànqìzhīshèjì
AT lǐyánshēng gāoxiàolǜzhèngfǎnlísànxiǎobōzhuǎnhuànqìzhīshèjì
_version_ 1718336461049167872