68 citations · 114 across the 9 of their papers we have counts for
4 papers · 1 filter
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
For wideband spectrum sensing, compressive sensing has been proposed as a solution to speed up the high dimensional signals sensing and reduce the computational complexity. Compres…
Compressive Sensing: Performance Comparison Of Sparse Recovery Algorithms
Youness Arjoune, Naima Kaabouch, Hassan El Ghazi +1
Spectrum sensing is an important process in cognitive radio. A number of sensing techniques that have been proposed suffer from high processing time, hardware cost and computationa…
Noise Cancellation in Cognitive Radio Systems: A Performance Comparison of Evolutionary Algorithms
Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch
Noise cancellation is one of the important signal processing functions of any communication system, as noise affects data integrity. In existing systems, traditional filters are us…
Denoising Signals in Cognitive Radio Systems Using An Evolutionary Algorithm Based Adaptive Filter
Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch
Noise originating from several sources in a RF environment degrades the performance of communication systems. In wideband systems, such as cognitive radios, noise at the receiver c…