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

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.