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The importance of spectral magnitude in signal through a noisy channels in data transmission
language: English
received 22.12.2001, published 03.06.2002
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ABSTRACT
In this paper we present a novel technique that can be applied in data transmission noisy channels. The method is based on the reconstruction of one or two dimensional signal with finite support from only its Fourier transform magnitude computed from the converted original signal. This method is the Saxton and Gershberg iterative algorithm for reconstructing a non minimum phase sequence from magnitude, using this method we have proved that spectral magnitude is less sensitive to additive white Gaussian noise than spectral phase and signal. The algorithm is operated on converted non minimum to minimum phase signal by concentrating the higher energy on the left hand end sequence than the right hand end sequence, thus dealing with magnitude we have achieved a good performance at all SNR levels with limited extra computational complexity.
10 pages, 18 figures
Сitation: Z. Chama, M. F. Belbachir, Z. Mahdjoub. The importance of spectral magnitude in signal through a noisy channels in data transmission. Electronic Journal “Technical Acoustics”, http://www.ejta.org, 2002, 4.
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Chama Zouaoui was born in Sidi Bel Abbes, Algeria. He received the Dipl.El.-Ing. degree, the Master degree, and the these d'etat from the University of Djillali Liabes of Sidi Bel Abbes, Algeria, respectively in 1991, 1994 and 2002. Since 1994, he is at the Dept of Electronics of the SBA University, where he is a teaching member of Electronic Department in University of Sidi Bel-Abbes. Currently, he is a assistant professor and scientist researcher in Telecommunication and Signal Processing Laboratory in SBA University, where he is pursuing independent research on fast digital and image reconstruction algorithms, phase retrieval and magnitude retrieval problems. |
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Bel Bachir Mohamed Faouzi was born in Oran, Algeria. He received the Dipl.El.-Ing. degree, the Master degree, and the these d'etat from the University of Science and Technology of Oran USTO (ORAN, Algeria) respectively in 1976, 1984 and 1991. Since 1981, he is at the Dept of Electronics of USTO. He is currently interested by the filter design and the image processing. |
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Zoubir Mahdjoub was born in Angers (France) on July 1958. He received the diploma of Electronic Engineering, with honors, from the university of science, and Technology, Oran, Algeria in 1982 and the PhD degree in microwaves from University of Claude Bernard of Lyon, France, in 1987. Since 1988, he is involved in research on microwave and signal processing. Since 1998 he is the head of electronics department, University of Djillali Liabes, Sidi Bel-Abbes, Algeria. |