Research

A distributed, adaptive beamforming approach is developed to maximize fairness in multi-cell relay networks with multiple receive antennas, achieving significant throughput gains.

This study proposes two low-complexity iterative successive interference cancellation schemes for OFDM systems with doubly selective channels, leveraging Krylov subspace optimization methods to efficiently mitigate inter-carrier interference.

Distributed generation and the urge for a more effi- cient grid operation will increase the frequency of network topol- ogy …

This paper addresses the problem of noise removal in X-ray medical images. A novel scheme for image denoising is proposed, by …

Multi-cell coordinated beamforming (CB) can mit- igate inter-cell interference. However, previous study on CB focuses on systems with …

Doubly selective channels can cause severe perfor- mance degradation in orthogonal frequency division multiplexing (OFDM) systems, …

In this work, we consider a wireless OFDM system operating over doubly selective channels, where the Doppler effect destroys the …

A novel stochastic gradient pursuit algorithm adaptively equalizes sparse multipath channels by exploiting their inherent sparsity and outperforms existing methods in terms of convergence speed.

A novel application of compressed sensing techniques significantly improves decision feedback equalization of sparse wireless channels by exploiting filter sparsity.

In this paper new efficient decision feedback equal- ization (DFE) schemes for channels with long and sparse im- pulse responses are …