International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.5, No.6, May. 2013

Genetic Algorithm For Designing QMF Banks and Its Application In Speech Compression Using Wavelets

Full Text (PDF, 1332KB), PP.1-8

Views:22   Downloads:1


Noureddine Aloui,Ben Nasr Mohamed,Adnane Cherif

Index Terms

Quadrature mirror filter, Real-coded Genetic Algorithm, Speech compression, discret wavelet transform, window techniques


In this paper, real-coded genetic algorithm (GA) is used for designing two-channel quadrature mirror filter (QMF) banks based on the Kaiser Window. The shape of the Kaiser window and the cutoff frequency of the prototype filter are optimized using a simple GA. The optimized QMF banks are exploited as mother wavelets for speech compression based on discret wavelet transform (DWT). The simulation results show the efficiency of the GA for designing QMF banks using adjustable windows length and especially for optimizing wavelet filters used in speech compression based on wavelets. In addition, a comparative of performance of the developed wavelets filters using GA and others known wavelets is made in term of objective criteria (CR, SNR, PSNR, and NRMSE). The simulation results show that the optimized wavelets filters outperform others wavelets already exist used for speech compression.

Cite This Paper

Noureddine Aloui,Ben Nasr Mohamed,Adnane Cherif,"Genetic Algorithm For Designing QMF Banks and Its Application In Speech Compression Using Wavelets", IJIGSP, vol.5, no.6, pp.1-8, 2013.DOI: 10.5815/ijigsp.2013.06.01


[1]A. Kumar, B. Kuldeep, "Design of M-channel cosine modulated filter bank using modified Exponential window", Journal of the Franklin Institute 349, 1304–1315, 2012.

[2]J. D. Johnston, "A filter family designed for use in quadrature mirror filter banks", In. Proceedings of IEEE International Conference Acoustics, Speech and Signal Processing, Denver, 291–294, 1980.

[3]W. Kinsner and A. Langi, "Speech and Image Signal Compression with Wavelets", IEEE Wescanex Conference Proceedings, IEEE, New York, NY, 1993, pp. 368-375.

[4]El-Bahlul F., PhillipsW. And Robertson W. 'Comparing audio compression using wavelets with other audio compression schemes', IEEE Canadian Conference on Electrical and Computer Engineering, pp.698-701, 1999.

[5]Noman J, Naveed A., Muktiar A. and A.Q.K Rajput "Speech and Image Compression Using Discrete Wavelet Transform", EEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, pp. 45-48, 2005.

[6]G. Rajesh, A. Kumar and K. Ranjeet, "Speech Compression using Different Transform Technique", IEEE International Conference on Computer and Communication Technology(ICCCT), pp.146–151, 2011. 

[7]Hatem Elaydi ("Speech compression using wavelets",

[8]Johnson Ihyeh Agbinya, "Discrete wavelet transform techniques in speech process", IEEE, Australia, 1996.

[9]P. P. Vaidyanathan, "Quadrature Mirror Filter Banks, M-Band Extensions and Perfect-Reconstruction Techniques", IEEE ASSP, pp.4-20, July 1987.

[10]Heinrich W. Lollmann, Matthias Hildenbrand, Bernd Geiser, and Peter Vary, "IIR QMF-bank design for speech and audio subband coding", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA '09. 2009.

[11]Kim, J.-K., "New linear phase QMF filter design for sub-band coding", IEEE Electronics Letters, pp.319–320, 1991. 

[12]Zhongnong Jiang, Abeer Alwan and Alan N. Willson, Jr., "High-performance IIR QMF banks for speech subband coding", IEEE International Symposium on Circuits and Systems, ISCAS '94., pp. 493 - 496 , 1994 

[13]Ying Deng, V. John Mathews, Behrouz Farhang-Boroujeny, "Low-Delay Nonuniform Pseudo-QMF Banks With Application to Speech Enhancement", IEEE Transactions on Signal Processing, pp. 2110-2120, 2007.

[14]Cvetko D. Mitrovski and Mitko B. Kostov, "NM images filtering using NPR QMF filters dependent on the images spectrum", 7th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, pp. 119 – 122, 2005

[15]Cesar A. Gonzale, Ali N. Akansu, "A very efficient low-bit-rate subband image/video codec using shift-only PR-QMF and zero-zone linear quantizers", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-97., pp. 2993 – 2996, 1997 

[16]Ali N. Akanszl Xueming Lin Mehmet V. Tuzebay, "Spread Spectrum PR-QMF Transmultiplexer Codes for CDMA comminications", Proc. IEEE Digital Signal Processing Workshop, pp.109-112, 1996.

[17]Kenneth Hetling, Michael Medley Gary Saulnier, and P. Das, "A PR-QMF (wavelet) based spread spectrum communications system", IEEE Military Communications Conference, MILCOM '94. Conference Record, pp. 760 – 764, 1994.

[18]Charles D. Creusere and Sanjit K. Mitra, "A Simple Method for Designing High-Quality Prototype Filters for M-Band Pseudo QMF Banks", IEEE TRANSACTIONS ON SIGNAL PROCESSING, pp. 1005-1007, 1995

[19]R. Hooke and T. Jeaves, "Direct search solution of numerical and statistical problems," J. Ass. Comp. Mach., pp. 212-229, 1961.

[20]C. D. Creusere, and S. K. Mitra, "A simple method for designing high quality prototype filters for M-band pseudo QMF banks," IEEE Transactions on Signal Processing, vol. 43, pp. 1005-1007, 1995.

[21]A. Jain, R. Saxena, and S. C. Saxena, "A simple alias free QMF system with near perfect reconstruction", Journal of Indian Institute Science, 85, 1-10, 2005.

[22]A. Ramakrishna, Dr. M.J.Nigam, "A Simple Method to Design FIR QMF Banks", Fourth International Conference on Intelligent Sensing and Information Processing, ICISIP, pp. 236 – 239, 2006. 

[23]A. Kumarn, B.Kuldeep, "Design of M-channel cosine modulated filter bank using modified Exponential window", Journal of the Franklin Institute 349, pp. 1304–1315, 2012.

[24]Ashutosh Datar, Alok Jain, P.C. Sharma, "Design of Kaiser window based optimized prototype filter for cosine modulated filter banks", Signal Processing 90, pp.1742–1749, 2010.

[25]J. Upendar, C.P. Gupta, G.K. Singh, “Design of two-channel quadrature mirror filter bank using particle swarm optimization”, Digital Signal Processing 20 , pp. 304–313, 2010.