Publication

Researchers develop novel transmitter techniques to mitigate interference and fading effects in wireless communication systems, enhancing reliability and efficiency.

This paper presents a decentralized approach to generalized power system state estimation, enabling efficient and scalable joint estimation of network topology and power flow states in large-scale grids.

This paper proposes a regularized MMSE ICI equalization scheme for OFDM systems over doubly selective channels, achieving linear complexity and improved performance compared to banded approximations.

This novel scheme leverages sparse representations to denoise X-ray medical images by decomposing noisy images into dictionaries, offering superior denoising results over existing methods.

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.

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.

This research proposes two novel adaptive decision feedback equalization schemes that exploit sparsity in both channel impulse responses and equalizer filters, leading to improved performance and computational efficiency.