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On the optimal choice of wavelet bases and signal compression using the wavelet lifting scheme, In Proc. of the 19th National Radio Science Conference (NRSC/URSI – The Academy of Scientific Research and Technology), Alexandria University

On the design of cosine-modulated filter banks In Proc. of the 20th National Radio Science Conference (NRSC/URSI – The Academy of Scientific Research and Technology), The Nuclear research Center (Egyptian Atomic Energy Authority

On-Line Classification and Segmentation of The Electro-Encephalogram Signal Using an Adaptive Lattice Predictor, In Proc. of the 3rd IEEE International Symposium on Signal Processing & Information Technology-ISSPIT’

Design of Biorthogonal Wavelets with Minimum Entropy In Proc. of the 3rd IEEE International Symposium on Signal Processing & Information Technology-ISSPIT

Research Authors
Y. M. Y. Hasan and M. F. Fahmy
Research Department
Research Journal
Dec., Darmstadt, Germany
Research Rank
1
Research Year
2003

Signal Denoising Using Hankel Matrix Rank Reduction, In Proc. of the 21st National Radio Science Conference (NRSC/URSI – The Academy of Scientific Research and Technology), The National Telecommunication Institute, 18-20 March

A Fast Wavelet Packet-Based Blind Signal Separation, In Proc. of the 21st National Radio Science Conference (NRSC/URSI – The Academy of Scientific Research and Technology), The National Telecommunication Institute, 18-20 March

Blind Source Separation Using Time-Frequency Distribution In Proc. of the 21st National Radio Science Conference (NRSC/URSI – The Academy of Scientific Research and Technology), The National Telecommunication Institute, 18-20 March

Blind Source Separation Using Time-Frequency Concepts, In Proc. of the 4th IEEE International Symposium on Signal Proc. & Information Technology-ISSPIT’0

Research Authors
M. F. Fahmy, Osama M. H. Amin, Y. M. Y. Hasan and G. M. Abdel-Raheem
Research Department
Research Journal
Rome, Italy
Research Pages
pp.250-253
Research Rank
1
Research Year
2004

Partial Discharge Classification Through Wavlet Packets of Their Modulated Ultrasonic Emissions, Proc. of the 5th International Conference on Intelligent Data Engineering & Automated Learning IDEAL

Research Authors
M. Abdelsalam, Y. M. Y. Hasan, M. Said and S. Abdelsattar
Research Department
Research Journal
(Springer LNCS), Exeter, UK

Research Pages
pp.540-545
Research Rank
1
Research Year
2004
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