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Image denoising and signal enhancement are the most challenging issues in low dose computed tomography (CT) imaging. Sparse representational methods have shown initial promise for these applications. In this work we present a wavelet based sparse representation denoising technique utilizing dictionary learning and clustering. By using wavelets we extract the most suitable features in the images to...
A practical blind carrier frequency estimation of wireless communication signals with high estimation precision regarding the channel bandwidth and feasible estimation range is required in lots of applications in data detection especially blind receivers. In this paper we consider a simple totally blind estimation and focus on channel periodogram analyzing and use centroid function for estimation...
A practical blind carrier frequency estimation of wireless communication signals is required in lots ofapplications in data detectionespecially blind receivers. In this regard high estimation precision regarding the channel bandwidth and feasible estimation range are highly important. In this paper we consider a simple totally blind estimation and focus on channel periodogram analyzing using centroid...
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