Development of VHDL model for fixed-point discrete wavelet transform

The wavelet transform is an efficient technique for multi-resolution analysis of non-stationary and fast transient signals. For this reason, wavelet transform has been widely applied in signal analysis through processing, encoding, denoising and encrypting. The objective of this paper is to represen...

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Main Authors:	Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/1/06271228_ICCCE2012_Dev._of_VHDL.pdf

id	iium-25717
recordtype	eprints
spelling	iium-257172012-09-18T06:54:53Z http://irep.iium.edu.my/25717/ Development of VHDL model for fixed-point discrete wavelet transform Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The wavelet transform is an efficient technique for multi-resolution analysis of non-stationary and fast transient signals. For this reason, wavelet transform has been widely applied in signal analysis through processing, encoding, denoising and encrypting. The objective of this paper is to represent the development process of VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) based wavelet transform model. The VHDL model development is based on fixed-point arithmetic. A fixed-point number represents a number which has fixed number of digits after and before of the radix point and of real data type. Discrete Wavelet Transform (DWT) is a method that uses wavelet analyser in which case the signals composed into small pieces preserving both time and frequency properties. Out of the mother wavelet functions family, 2nd order of Daubechies (4-tap) has been widely used in denoising various types of biomedical signals. This research work involves with the VHDL modeling of Daubechies wavelet which is developed by Ingrid Daubechies. The functionality of VHDL model for DWT structure has been tested successfully and its performance level is in the satisfactory region (up to two decimal points of precision). 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/25717/1/06271228_ICCCE2012_Dev._of_VHDL.pdf Ahsan, Md. Rezwanul and Ibrahimy, Muhammad Ibn and Khalifa, Othman Omran (2012) Development of VHDL model for fixed-point discrete wavelet transform. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6271228&contentType=Conference+Publications doi:10.1109/ICCCE.2012.6271228
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran Development of VHDL model for fixed-point discrete wavelet transform
description	The wavelet transform is an efficient technique for multi-resolution analysis of non-stationary and fast transient signals. For this reason, wavelet transform has been widely applied in signal analysis through processing, encoding, denoising and encrypting. The objective of this paper is to represent the development process of VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) based wavelet transform model. The VHDL model development is based on fixed-point arithmetic. A fixed-point number represents a number which has fixed number of digits after and before of the radix point and of real data type. Discrete Wavelet Transform (DWT) is a method that uses wavelet analyser in which case the signals composed into small pieces preserving both time and frequency properties. Out of the mother wavelet functions family, 2nd order of Daubechies (4-tap) has been widely used in denoising various types of biomedical signals. This research work involves with the VHDL modeling of Daubechies wavelet which is developed by Ingrid Daubechies. The functionality of VHDL model for DWT structure has been tested successfully and its performance level is in the satisfactory region (up to two decimal points of precision).
format	Conference or Workshop Item
author	Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran
author_facet	Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran
author_sort	Ahsan, Md. Rezwanul
title	Development of VHDL model for fixed-point discrete wavelet transform
title_short	Development of VHDL model for fixed-point discrete wavelet transform
title_full	Development of VHDL model for fixed-point discrete wavelet transform
title_fullStr	Development of VHDL model for fixed-point discrete wavelet transform
title_full_unstemmed	Development of VHDL model for fixed-point discrete wavelet transform
title_sort	development of vhdl model for fixed-point discrete wavelet transform
publishDate	2012
url	http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/ http://irep.iium.edu.my/25717/1/06271228_ICCCE2012_Dev._of_VHDL.pdf
first_indexed	2023-09-18T20:38:18Z
last_indexed	2023-09-18T20:38:18Z
_version_	1777409194000908288

Development of VHDL model for fixed-point discrete wavelet transform

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