Adaptive filtering

Energy Conservation in Adaptive Filtering

1 min read · Wed, Aug 7 2019

energy storage Adaptive filtering ISL Highlighted Publications

A. H. Sayed, Tareq Y. Al-Naffouri, and Vitor H. Nascimento, "Energy conservation in adaptive filtering", Nonlinear Signal and Image processing: Theory, Methods, and Applications, CRC Press, November 2003. Introduction: The study of the steady-state and transient performance of adaptive filters is a challenging task because of the nonlinear and stochastic nature of their update equations (e.g., References 1 to 4). The purpose of this chapter is to provide an overview of an energy-conservation approach to study the performance of adaptive filters in a unified manner.4 The approach is based on

Qasim Zeeshan Ahmed

Postdoctoral Research Fellow, Communication Theory Lab

Cooperative relay network Ultrawide bandwidth wireless communication systems Adaptive filtering

Qasim Zeeshan Ahmednow is a lecturer in University of Kent , Medway and Tonbridge, UK. Selected Publications Ph.D. Thesis: Q. Z. Ahmed, "Adaptive Detection in Ultrawide Bandwidth Wireless Communication Systems," Communications, Signal Processing and Control Group (CSPC), University of Southampton, Southampton, UK, Jun. 2009. Journal Publications: Q. Z. Ahmed, M. -S. Alouini, and S. Aissa, “Bit error-rate minimizing detector for amplify and forward relaying systems using generalized Gaussian kernel,” To appear in IEEE Signal Processing Letters. Q. Z. Ahmed and L. -L. Yang, “Reduced-rank

Alam Zaib

Intern, Information Science Lab

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.

Ala Ahmad Dahman

Intern, Information Science Lab

Semi-blind seismic deconvolution using orthogonal clustering Signal processing channel estimation Adaptive filtering OFDM systems wireless and mobile communications.

Visiting Student at King Abdullah University of Science and Technology (KAUST), Project Manager - Saudi Business Machines Ltd.

Abdulrahman Abuzaid

M.S., Electrical and Computer Engineering

Adaptive filtering Cooperative communications

Abdulrahman Abuzaid graduated from KAUST with an MS degree in electrical engineering in 2014. He joined Saudi Aramco as an engineer. Abdulrahman's research interests are Adaptive Filtering, Cooperative Communications, and Software-Defined Networking. Publications dblp Scopus LinkedIn Education Profile M.S. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (September 2012 - 2014). B.Sc. in Electrical Engineering, University of Jordan, Amman, Jordan (September 2007 – January 2012).