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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  2/2018 - 3

A Computationally Efficient Pipelined Architecture for 1D/2D Lifting Based Forward and Inverse Discrete Wavelet Transform for CDF 5/3 Filter

CEKLI, S. See more information about CEKLI, S. on SCOPUS See more information about CEKLI, S. on IEEExplore See more information about CEKLI, S. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,641 KB) | Citation | Downloads: 254 | Views: 983

Author keywords
digital systems, discrete wavelet transforms, multiprocessing systems, pipeline processing, programmable logic arrays

References keywords
wavelet(33), transform(20), lifting(16), architecture(14), discrete(13), systems(12), circuits(10), signal(9), processing(9), image(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 17 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02003
Web of Science Accession Number: 000434245000003
SCOPUS ID: 85047844169

Abstract
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In this study, a simple lifting based pipeline DWT (Discrete Wavelet Transform) architecture is proposed for the operation of the CDF 5/3 (Cohen-Daubechies-Feauveau 5/3) filter. This scalable architecture is faster and capable of fulfilling the transformation utilizing the parallel processing operation units. The symmetric boundary extension method is used at the signal boundaries to obtain the best result in the case of 1D/2D. The proposed architecture utilizes the hardware resources in a quite efficient way by means of the pipeline technique. The architectural design is constituted by using RTL (Register Transfer Level) design process and coded by the Verilog HDL. The proposed architecture is tested for several 1D/2D inputs to examine its operation. The related architecture is synthesized for the FPGA board to check the results. The reverse operation is fulfilled by using the same structure only by changing the shift amounts of the shifting units. The DWT coefficients are calculated on this architecture for the 1D/2D situation. The hardware resources are used effectively by utilizing the constituted architecture in folded structure in the 2D case. Satisfying results have been obtained when the different numbers of parallel processing units are utilized.


References | Cited By  «-- Click to see who has cited this paper

[1] S. G. Mallat, "A Theory for Multiresolution Signal Decomposition: The Wavelet Representation", IEEE Trans. Pattern Analysis Mach. Int., vol. 11, no.7, pp. 674-693, July 1989.
[CrossRef] [Web of Science Times Cited 9859] [SCOPUS Times Cited 14700]


[2] S. C. B. Lo, H. Li, M. T. Freedman, "Optimization of Wavelet Decomposition for Image Compression and Feature Preservation", IEEE Transactions on Medical Imaging, vol. 22, no. 9, September 2003.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 41]


[3] L. Cheng, D. L. Liang, Z. H. Zhang, "Popular Biorthogonal Wavelet Filters via a Lifting Scheme and its Application in Image Compression", IEE Proc.-Vis. Image Signal Process., vol. 150, no. 4, pp. 227-232, August 2003.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 15]


[4] T. Park, S. Jung, "High Speed Lattice Based VLSI Architecture of 2D Discrete Wavelet Transform for Real-Time Video Signal Processing", IEEE Transactions on Consumer Electronics, vol. 48, no. 4, pp. 1026-1032, November 2002.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 16]


[5] T. Andre, M. Antonini, M. Barlaud, R. M. Gray,"Entropy-Based Distortion Measure and Bit Allocation for Wavelet Image Compression", IEEE Trans. on Image Processing, vol. 16, issue. 12, pp. 3058-3064, December 2007.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


[6] G. Bhatnagar, Q. M. J. Wu, B. Raman, "A New Fractional Random Wavelet transform for Fingerprint Security", IEEE Trans. on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 42, no. 1, pp. 262-275, January 2012.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 35]


[7] I. Ram, I. Cohen, M. Elad, "Facial Image Compression Using Patch-Ordering-Based Adaptive Wavelet Transform", IEEE Signal Processing Letters, vol. 21, no. 10, pp. 1270-1274, October 2014.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 20]


[8] C. A. Garcia, A. Otero, X. Vila, D. G. Marquez, "A New Algorithm for Wavelet-Based Heart Rate Variability Analysis", Elsevier, Biomedical Signal Processing and Control, 8, pp. 542-550, 2013.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 21]


[9] E. Causevic, R. E. Morley, M. V. Wickerhauser, A. E. Jacquin, "Fast Wavelet Estimation of Weak Biosignals", IEEE Transactions on Biomedical Engineering, vol. 52, no. 6, pp. 1021-1032, June 2005.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 20]


[10] K. G. Oweiss, A. Mason, Y. Suhail, A. M. Kamboh, K. E. Thomson, "A scalable Wavelet Transform VLSI Architecture for Real-Time Signal Processing in High-Density Intra-Cortical Implants", IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 54, no. 6, pp. 1266-1278, June 2007.
[CrossRef] [Web of Science Times Cited 71] [SCOPUS Times Cited 83]


[11] J. A. T. Machado, A. C. Costa, M. D. Quelhas, "Wavelet Analysis of Human DNA", Elsevier Genomics 98, pp. 155-163, 2011.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 25]


[12] S. Saini, L. Dewan, "Application of Discrete Wavelet Transform for Analysis of Genomic Sequences of Mycobacterium Tuberculosis", Springerplus. 5: 64; 2016.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[13] T. Meng, A. T. Soliman, M. Shyu, Y. Yang, S. Chen, S. S. Iyengar, J. S. Yordy, P. Iyengar, "Wavelet Analysis in Current Cancer Genome Research: A Survey", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 6, pp. 1442-1459, November/December 2013.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 22]


[14] I. Rodriguez, A. Manuel-Lazaro, A. Carlosena, A. Bermudez, J. Del Rio, S.S.Panahi, "Signal Processing in Ocean Bottom Seismographs for Refraction Seismology", IEEE Trans. Instr. Measurement, vol. 55, no. 2, pp. 652-658, April 2006.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 8]


[15] J. Ma, G. Plonka, H. Chauris, "A New Sparse Representation of Seismic Data Using Adaptive Easy-Path Wavelet Transform", IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 3, pp. 540-544, October 2010.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 29]


[16] C. P. Uzunoglu, "Investigation of Degradative Signals on Outdoor Solid Insulators Using Continuous Wavelet Transform", Journal of Electrical Engineering and Technology, vol. 11, no.3, pp. 683-689, 2016.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[17] I. S. Uzun, A. Amira, "Framework for FPGA-Based Discrete Biorthogonal Wavelet Transforms Implementation", IEE Proc.-Vis. Im. Sig. Proc., vol. 153, no. 6, Dec. 2006.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 9]


[18] J. T. Olkkonen, H. Olkkonen, "Discrete Lattice Wavelet Transform", IEEE Transactions on Circuits ans Systems-II: Express Briefs, vol. 54, no. 1, pp. 71-75, January 2007.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 9]


[19] H. I. Shahadi, R. Jidin, W. H. Way, Y. A. Abbas, "Efficient FPGA Architecture for Dual Mode Integer Haar Lifting Wavelet Transform Core", Journal of Applied Sciences 14 (5): pp. 436-444, 2014.
[CrossRef]


[20] K. Andra, C. Chakrabarti, T. Acharya, "A VLSI Architecture for Lifting-Based Forward and Inverse Wavelet Transform", IEEE Transactions on Signal Processing, vol. 50, no. 4, pp. 966-977, April 2002.
[CrossRef] [Web of Science Times Cited 207] [SCOPUS Times Cited 295]


[21] W. Sweldens, "The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets", Applied and Comp. Harmonic Analysis 3, no. 0015, pp. 186-200, 1996.
[CrossRef] [Web of Science Times Cited 1300] [SCOPUS Times Cited 1738]


[22] I. Daubechies, W. Sweldens, "Factoring Wavelet Transforms into Lifting Steps", The Journal of Fourier Analysis and Applications, vol. 4, issue 3, pp. 247-269, 1998.
[CrossRef]


[23] W. Zhang, Z. Jiang, Z. Gao, Y. Liu, "An Efficient VLSI Architecture for Lifting-Based Discrete Wavelet Transform", IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 59, no. 3, pp. 158-162, March 2012.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 64]


[24] K. A. Kotteri, S. Barua, A. E. Bell, E. Carletta, "A Comparison of Hardware Implementations of the Biorthogonal 9/7 DWT: Convolution Versus Lifting", IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 52, no. 5, pp. 256-260, May 2005.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 52]


[25] O. Fatemi, S. Bolouki, "Pipeline, Memory-Efficient and Programmable Architecture for 2D Discrete Wavelet Transform Using Lifting Scheme", IEE Proc.-Circuits Devices Syst., vol. 152, no. 6, pp. 703-708, December 2005.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 10]


[26] J. Song, I. C. Park, "Pipelined Discrete Wavelet Transform Architecture Scanning Dual Lines", IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 56, no. 12, pp. 916-9, December 2009.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[27] B. K. Mohany, P.K. Meher, "Area-Delay-Power_Efficient architecture for Folded Two-Dimensional Discrete Wavelet Transform by Multiple Lifting Computation", IET Image Process, vol. 8, iss. 6, pp. 345-353, 2014.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 5]


[28] G. Shi, W. Liu, L. Zhang, F. Li, "An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform", IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 56, no. 4, pp. 290-294, April 2009.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 54]


[29] C. T. Huang, P. C. Tseng, L. G. Chen, "Flipping Structure: An Efficient VLSI Architecture for Lifting-Based Discrete Wavelet Transform", IEEE Transactions on Signal Processing", vol. 52, no. 4, pp. 1080-1089, April 2004.
[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 174]


[30] A. Darji, S. Agrawal, A. Oza, V. Sinha, A. Verma, S. N. Merchant, A. N. Chandorkar, "Dual-Scan Parallel Flipping Architecture for a Lifting-Based 2-D Discrete Wavelet Transform", IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 61, no. 6, pp. 433-437, June 2014.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 26]


[31] G. Dillen, B. Georis, J. D. Legat, O. Cantineau, "Combine Line-Based Architecture for the 5-3 and 9-7 Wavelet Transform of JPEG2000", IEEE Trans. on Circuits and Systems for Video Tech., vol. 13, no. 9, pp. 944-950, September 2003.
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 79]


[32] W. J. Laan, A. C. Jalba, J. B. T. M. Roerdink, "Accelerating Wavelet Lifting on Graphics Hardware Using CUDA", IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 1, pp. 132-146, January 2011.
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 93]


[33] C. E. Kozyrakis, D. A. Patterson, "Scalable Vector Processors for Embedded Systems", IEEE Computer Society, vol. 23, issue no. 06, pp. 36-45, Nov./Dec. 2003.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 45]


[34] K. C. B. Tan, T. Arslan, "Low Power Embedded Extension Algorithm for Lifting-Based Discrete Wavelet Transform in JPEG2000", IEEE Electronics Letters, vol. 37, Issue. 22, pp. 1328-1330, October 2001.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 30]


[35] W. Jiang, A. Ortega, "Lifting Factorization-Based Discrete Wavelet Transform Architecture Design", IEEE Trans. Circuits Syst. for Video Tech., vol. 11, no. 5, pp. 651-657, May 2001.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 65]


[36] M. Dali, A. Guessoum, R. M. Gibson, A. Amira, N. Ramzan, "Efficient FPGA Implementation of High-Throughput Mixed Radix Multipath Delay Commutator FFT Processor for MIMO-OFDM", Advances in Electrical and Computer Engineering (AECE), vol. 17, no. 1, pp. 27-38, 2017.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[37] A. Y. Jean-Cuellar, L. Morales-Velazquez, R. J. Romero-Troncoso, R.A. Osornio-Rios, "FPGA-Based Embedded System Architecture for Micro-Genetic Algorithms Applied to Parameters Optimization in Motion Control", Advances in Electrical and Computer Eng. (AECE), vol. 15, no. 1, pp. 23-32, 2015.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[38] A. R. Calderbank, I. Daubechies, W. Sweldens, B. L. Yeo, "Wavelet Transforms That Map Integers to Integers", Applied and Computational Harmonic Analysis 5, no. HA970238, pp. 332-369, 1998.
[CrossRef] [Web of Science Times Cited 561] [SCOPUS Times Cited 772]


[39] W. Sweldens, "The Lifting Scheme: A Construction of Second Generation Wavelets", SIAM Journal on Math. Anal., vol. 29, issue 2, pp. 511-546, March 1998.
[CrossRef] [Web of Science Times Cited 833] [SCOPUS Times Cited 1656]


[40] W. A. Pearlman, Wavelet Image Compression, Synthesis Lectures on Image, Video, and Multimedia Processing, Alan C. Bovik, Series Editor, Morgan & Claypool Publishers, 2013.
[CrossRef] [SCOPUS Times Cited 4]




References Weight

Web of Science® Citations for all references: 13,537 TCR
SCOPUS® Citations for all references: 20,256 TCR

Web of Science® Average Citations per reference: 330 ACR
SCOPUS® Average Citations per reference: 494 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-08-21 17:57 in 288 seconds.




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