High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform

Discrete Wavelet Transform (DWT) becomes a major part for many applications. Fast, low area, and low power consumption hardware for DWT is necessary for some new technologies such as OFDM transceiver and wireless multimedia sensor networks. This paper presents efficient dual mode (decomposition and...

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Main Authors: Shahadi H.I., Jidin R., Way W.H.
Other Authors: 54956597100
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Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-294002023-12-28T12:12:54Z High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform Shahadi H.I. Jidin R. Way W.H. 54956597100 6508169028 55936039400 Dual mode processor Field programmable gate array (FPGA) Haar filter Integer to integer (Int2Int) Wavelet Lifting wavelet transform (LWT) Discrete Wavelet Transform (DWT) becomes a major part for many applications. Fast, low area, and low power consumption hardware for DWT is necessary for some new technologies such as OFDM transceiver and wireless multimedia sensor networks. This paper presents efficient dual mode (decomposition and reconstruction) Integer Haar Lifting Wavelet Transform (IHLWT) architecture. The proposed architecture reduces the hardware requirements by exploiting the arithmetic operations redundancy which is involved in IHLWT computations. It is multiplier-free and it performs IHLWT with only a single adder and subtractor which have reconfigurable input buses to perform decomposition and reconstruction transformations. IEEE standard VHDL has been used to develop the proposed processor. This makes the design vendor independent and therefore easily portable across FPGA devices from multiple vendors. The generic design is flexible and can perform any arbitrary signal length. The synthesis of the processor showed that it requires low number of CLB-slices and low power consumption with high operating-frequency for various Xilinx FPGA devices. The processor has been successfully implemented and tested on Xilinx Spartan6-SP601 Evaluation Board. The implemented hardware has been tested in real time by using many recording audio signals. All the implemented hardware results were identical 100% with IHLWT software results. � 2013 Praise Worthy Prize S.r.l. - All rights reserved. Final 2023-12-28T04:12:54Z 2023-12-28T04:12:54Z 2013 Article 2-s2.0-84888095195 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888095195&partnerID=40&md5=7570751ae73733f7813ebfee5f1e406f https://irepository.uniten.edu.my/handle/123456789/29400 8 9 2058 2067 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Dual mode processor
Field programmable gate array (FPGA)
Haar filter
Integer to integer (Int2Int) Wavelet
Lifting wavelet transform (LWT)
spellingShingle Dual mode processor
Field programmable gate array (FPGA)
Haar filter
Integer to integer (Int2Int) Wavelet
Lifting wavelet transform (LWT)
Shahadi H.I.
Jidin R.
Way W.H.
High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
description Discrete Wavelet Transform (DWT) becomes a major part for many applications. Fast, low area, and low power consumption hardware for DWT is necessary for some new technologies such as OFDM transceiver and wireless multimedia sensor networks. This paper presents efficient dual mode (decomposition and reconstruction) Integer Haar Lifting Wavelet Transform (IHLWT) architecture. The proposed architecture reduces the hardware requirements by exploiting the arithmetic operations redundancy which is involved in IHLWT computations. It is multiplier-free and it performs IHLWT with only a single adder and subtractor which have reconfigurable input buses to perform decomposition and reconstruction transformations. IEEE standard VHDL has been used to develop the proposed processor. This makes the design vendor independent and therefore easily portable across FPGA devices from multiple vendors. The generic design is flexible and can perform any arbitrary signal length. The synthesis of the processor showed that it requires low number of CLB-slices and low power consumption with high operating-frequency for various Xilinx FPGA devices. The processor has been successfully implemented and tested on Xilinx Spartan6-SP601 Evaluation Board. The implemented hardware has been tested in real time by using many recording audio signals. All the implemented hardware results were identical 100% with IHLWT software results. � 2013 Praise Worthy Prize S.r.l. - All rights reserved.
author2 54956597100
author_facet 54956597100
Shahadi H.I.
Jidin R.
Way W.H.
format Article
author Shahadi H.I.
Jidin R.
Way W.H.
author_sort Shahadi H.I.
title High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
title_short High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
title_full High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
title_fullStr High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
title_full_unstemmed High performance FPGA architecture for dual mode processor of Integer Haar Lifting-based Wavelet Transform
title_sort high performance fpga architecture for dual mode processor of integer haar lifting-based wavelet transform
publishDate 2023
_version_ 1806426383825502208