Radouane Iqdour

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This investigation has two main objectives. The first one is to propose a statistical method, based on the fourth order cumulants, to identify single-input single-output ‘SISO’, finite impulse response ‘FIR’ system using non gaussian input, zero mean and independent identically distributed signals. The second objective is to search, as an application, a(More)
In this work we compare tow methods for the identification of non-linear systems. The first one uses a quadratic non linear model of which parameters are estimated using a new algorithm based on the fourth order cumulants. The second one is based on the Takagi-Sugeno fuzzy models. The simulation results show that the fuzzy models give the good results in(More)
The Multi-Layered Perceptron (MLP) Neural networks have been very successful in a number of signal processing applications. In this work we have studied the possibilities and the met difficulties in the application of the MLP neural networks for the prediction of daily solar radiation data. We have used the PolackRibière algorithm for training the neural(More)
The exponential chip weighting waveforms have been designed with the purpose of multiple access interferences (MAI) rejection based on the concept that the optimum despreading sequence in reference emphasizes the transitions in the received spreading signal of interest. The despreading sequence weighted by exponential chip waveforms was determined by only(More)
The Weighted Despreading Sequences are deployed for an optimal use in Multiple Access Interference annulation caused by users multiple access to the channel. Our paper's aim is to develop a simple method based on Wavelet Networks to calculate these WDS MC-DS/CDMA system. As illustrated by simulations, the proposed technique is an ideal alternative for MAI(More)
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