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Analysis dictionary learning (ADL) aims to design dictionaries from training data based on an analysis sparse representation model. Sparse analysis model is an alternative model to the sparse synthesis model used in a variety of signal processing areas. This paper introduces a new ADL method called MAX-ADL algorithm used to estimate the dictionary directly from the noisy measurements. The algorithm...
Image registration technology is getting more and more important in nowadays. The accuracy of the registration resolution plays an important. In this passage, we present an image registration algorithm based on point feature of sub-pixel, which can improve the accuracy. Firstly we use Harris corner point algorithm to get point features, then we use our method to refine the Harris points, after that...
Texture segmentation is a critical step in building-based analysis in urban remote sensing images to obtain more detail information for further applications. Most existing segmentation algorithms rely on region or edge information to segment, which failed to segment building surfaces with almost same texture and unclear edge between the surfaces. Therefore, in order to solve this challenging task,...
Analysis dictionary learning (ADL) aims to adapt dictionaries from training data based on an analysis sparse representation model. In a recent work, we have shown that, to obtain the analysis dictionary, one could optimise an objective function defined directly on the noisy signal, instead of on the estimated version of the clean signal as adopted in analysis K-SVD. Following this strategy, a new...
Compressive sensing (CS), is a framework which points us a promising way of not measuring N-dimensional signals directly, but rather a set of related measurements, which a linear combination of the original underlying N-dimensional signal. However, the traditional CS reconstruction methods use l1-norm optimization which usually gives poor performance on 2D signal or only suit for specific natural...
In this paper, a robust K-plane clustering algorithm has been proposed for blind separation of underdetermined mixtures of sparse sources. In the presence of noise, based on the insufficient sparsity assumption of the source signals, the K-dimensional concentration hyperplanes have been found by using the algorithm, and then using them to estimate the mixing matrix. Simulation results show that the...
The routing algorithm for low voltage power line communication (L-PLC) network must copy with several special problems different from normal networks. This paper analyses the specialties of the L-PLC networks in the view of communication reliability firstly. Then, a dynamic and distributed routing algorithm for L-PLC network, combining regular communication with ant colony addressing, is proposed...
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