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COMPARISON BETWEEN HAAR AND DAUBECHIES WAVELET TRANSFORMIONS ON FPGA TECHNOLOGY
Author(s) -
Fatma H. El-Fouly,
Mohamed I. Mahmoud,
Moawad I. Dessouky,
Salah Deyab
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.6.3.447
Subject(s) - wavelet , daubechies wavelet , field programmable gate array , haar wavelet , haar , computer science , discrete wavelet transform , wavelet transform , second generation wavelet transform , lifting scheme , signal (programming language) , electronic engineering , embedded system , computer engineering , algorithm , computer hardware , artificial intelligence , engineering , programming language
Recently, the Field Programmable Gate Array (FPGA) technology offers the potential of designing high performance systems at low cost. The discrete wavelet transform has gained the reputation of being a very effective signal analysis tool for many practical applications. However, due to its computation-intensive nature, current implementation of the transform falls short of meeting real-time processing requirements of most application. The objectives of this paper are implement the Haar and Daubechies wavelets using FPGA technology. In addition, the comparison between the Haar and Daubechies wavelets is investigated. The Bit Error Rat (BER) between the input audio signal and the reconstructed output signal for each wavelet is calculated. It is seen that the BER using Daubechies wavelet techniques is less than Haar wavelet. The design procedure has been explained and designed using the stat-of-art Electronic Design Automation (EDA) tools for system design on FPGA. Simulation, synthesis and implementation on the FPGA target technology has been carried out.

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