Dr. Evangelos Vlachos
Tenure-track Researcher · ATHENA RC
Dr. Evangelos Vlachos
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Research
A scheme for X-ray medical image denoising using sparse representations
This paper addresses the problem of noise removal in X-ray medical images. A novel scheme for image denoising is proposed, by …
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Distributed blind adaptive computation of beamforming weights for relay networks
Multi-cell coordinated beamforming (CB) can mit- igate inter-cell interference. However, previous study on CB focuses on systems with …
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Galerkin projections-based ICI cancellation in OFDM systems with doubly selective channels
Doubly selective channels can cause severe perfor- mance degradation in orthogonal frequency division multiplexing (OFDM) systems, …
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Regularized MMSE ICI equalization for OFDM systems over doubly selective channels
In this work, we consider a wireless OFDM system operating over doubly selective channels, where the Doppler effect destroys the …
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New Paper: Stochastic gradient pursuit for adaptive equalization of sparse multipath channels
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.
Sep 1, 2012
1 min read
Paper
New Paper: Compressed sensing techniques for decision feedback equalization of sparse wireless channels
A novel application of compressed sensing techniques significantly improves decision feedback equalization of sparse wireless channels by exploiting filter sparsity.
May 1, 2012
1 min read
Paper
Compressed Sensing Techniques for Decision Feedback Equalization of Sparse Wireless Channels
In this paper new efficient decision feedback equal- ization (DFE) schemes for channels with long and sparse im- pulse responses are …
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Stochastic Gradient Pursuit for Adaptive Equalization of Sparse Multipath Channels
In this paper, a new heuristic algorithm for the sparse adaptive equalization problem, termed as stochastic gradient pursuit, is …
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New Paper: Greedy algorithms for sparse adaptive decision feedback equalization
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.
Dec 1, 2011
1 min read
Paper
Greedy algorithms for sparse adaptive decision feedback equalization
In this paper we propose two new adaptive decision feedback equalization (DFE) schemes for channels with long and sparse impulse …
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