most citedDenoising Signals in Cognitive Radio Systems Using An Evolutionary Algorithm Based Adaptive Filter

16 citations · 30 across the 4 of their papers we have counts for

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5 papers · 1 filter

eess.SP2019

A Real-Time mmWave Communication Testbed with Phase Noise Cancellation

Adnan Quadri, Huacheng Zeng, Y. Thomas Hou

As the spectrum under 6 GHz is being depleted, pushing wireless communications onto millimeter wave (mmWave) frequencies is a trend that promises multi-Gbps data rate. mmWave is th…

eess.SP2018

A Utility-Based Channel Ranking for Cognitive Radio Systems

Adnan Quadri

Growing number of wireless devices and networks has increased the demand for the scarce resource, radio spectrum. Next generation communication technologies, such as Cognitive Radi…

eess.SP201812 cited

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…

eess.SP201816 cited

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…

eess.SP20181 cited

A Review of Noise Cancellation Techniques for Cognitive Radio

Adnan Quadri

One of the fundamental challenges affecting the performance of communication systems is the undesired impact of noise on a signal. Noise distorts the signal and originates due to s…