The natural gradient blind source separation (BSS) algorithm with unknown source number proposed by Cichocki in 1999 is justified in this paper. An new method to detect the redundant separated signals based on structu...
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A novel and efficient speckle noise reduction algorithm based on Bayesian wavelet shrinkage using cycle spinning is proposed. First, the sub-band decompositions of non-logarithmically transformed SAR images are shown....
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A novel and efficient speckle noise reduction algorithm based on Bayesian wavelet shrinkage using cycle spinning is proposed. First, the sub-band decompositions of non-logarithmically transformed SAR images are shown. Then, a Bayesian wavelet shrinkage factor is applied to the decomposed data to estimate noise-free wavelet coefficients. The method is based on the Mixture Gaussian Distributed （MGD） modeling of sub-band coefficients. Finally, multi-resolution wavelet coefficients are reconstructed by wavelet-threshold using cycle spinning. Experimental results show that the proposed despeclding algorithm is possible to achieve an excellent balance between suppresses speckle effectively and preserves as many image details and sharpness as possible. The new method indicated its higher performance than the other speckle noise reduction techniques and minimizing the effect of pseudo-Gibbs phenomena.
After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic cla...
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After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses vector space model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set
Let {vij}, i, j = 1, 2, …, be i.i.d, random variables with Ev11 = 0, Ev11^2 = 1 and a1 = （ai1,…, aiM） be random vectors with {aij} being i.i.d, random variables. Define XN =（x1,…, xk） and SN =XNXN^T,where xi=ai...
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Let {vij}, i, j = 1, 2, …, be i.i.d, random variables with Ev11 = 0, Ev11^2 = 1 and a1 = （ai1,…, aiM） be random vectors with {aij} being i.i.d, random variables. Define XN =（x1,…, xk） and SN =XNXN^T,where xi=ai×si and si=1/√N（v1i,…, vN,i）^T. The spectral distribution of SN is proven to converge, with probability one, to a nonrandom distribution function under mild conditions.
This paper aims to carry out granular analysis of time sequence based on quotient space. Granular methods have long before been adopted to analyze time sequence, but the granularity was based on time, for example, day...
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The quotient space theory is indented to study the relationship of transform and that of dependency among the worlds with different grain-size. Compared-with other granule computing tools, it has more powerful abiliti...
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ISBN:
(纸本)9781424404759
The quotient space theory is indented to study the relationship of transform and that of dependency among the worlds with different grain-size. Compared-with other granule computing tools, it has more powerful abilities of representation and absorption. The reason is that structure is introduced in its model The paper is to study the quotient space theory based on structure. We first introduce some methods of constructing quotient structure. Then we study in detail the quotient space family based on structure, and get some good results for further research. Finally we also briefly discuss hierarchical structure of fuzzy sets.
This paper presents a public mesh watermarking algorithm whereby the resultant watermarked image minus the original image is the watermark information. According to the addition property of the Fourier transform, a ch...
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In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the...
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In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the algebraic theory. We show that (L, oplus, otimes ) is the distribution lattice of rings with identical element. Furthermore,we generalize this result to the Wrho(V) , a set which elements simulates the DNA molecules with sticky ends, the element is called an incomplete double stranded molecules consist of mixed DNA molecules with double and single strands.
This paper investigates the spectral description methods for unweighted graph sequences and the clustering of spectral features in feature spaces. First, the corner features in 2D images of 3D polyhedral objects are r...
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This paper investigates the spectral description methods for unweighted graph sequences and the clustering of spectral features in feature spaces. First, the corner features in 2D images of 3D polyhedral objects are represented as neighborhood graphs. Adjacency matrices are constructed from Delaunay graphs of the corners. Then the eigenmodes are defined by the leading eigenvectors of the adjacency matrices. For each eigenmode, we compute the vectors of spectral properties, which include the eigenmode perimeter, eigenmode volume, Cheeger number, inter-mode adjacency matrix and inter-mode edge distance. Then these vectors are embedded into a pattern space by multidimensional scaling on the L2 norm for pairs of pattern vectors. Meanwhile, the performances of different embedding methods are compared. Finally, the clustering results by k-means method are shown
At present the most widely used technology of pinyin-Chinese character conversion combines statistics with linguistic rules. Although it basically solves such problems as long distance restriction and language recursi...
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At present the most widely used technology of pinyin-Chinese character conversion combines statistics with linguistic rules. Although it basically solves such problems as long distance restriction and language recursion phenomenon,it relies on a great deal of computation because there are too many candidate paths. This paper tries to simplify the candidate paths by using quotient space granularity computation theory, first obtains the scope of the best path in the coarser granularity world, and then uses more language rules to obtain the best path. The experiments indicate that this method can reduce the computation, speed up the conversion, and enhance the rate of accuracy by nearly 2％.
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