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Evolutionary Algorithms Based Filters For Denoising Signals In Cognitive Radio Systems, Adnan Quadri, Naima Kaabouch
Evolutionary Algorithms Based Filters For Denoising Signals In Cognitive Radio Systems, Adnan Quadri, Naima Kaabouch
ADNAN QUADRI
In wireless communications, transmitted signals are distorted by noise, interference, path loss, and fading. Traditional communication systems include hardware based filters that are bulky, costly, and can filter only specific frequencies. Next generation communication systems, such as Cognitive Radios, will be reconfigurable and can dynamically adjust their parameters to filter any signal of any frequency. Therefore, this project aims to develop efficient reconfigurable algorithms for filters that meet the requirements of next generation communication systems.