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	1. Fuzzy Identification Based on Wavelet-Transformed Feature Extraction
	LIN lin,Tang Bin,He Li,Lv Yan,Yuan Shunyi
	Electrics, Communication and Autocontrol Technology 19 December 2005
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	Abstract:This paper presents an approach of identifying signals in complex environments. The signals being studied include the following three kinds, communication signals, radar signals and telecontrol signals. A fuzzy identification based on wavelet transform to feature extraction of signal is proposed. In this study, signals will be analyzed by firstly being taken a wavelet transform, secondly extracted 10 effective statistic features on the time-scale field, and lastly identified by using the fuzzy identification method. Computer simulation shows that the method is effective.
	TO cite this article:LIN lin,Tang Bin,He Li, et al. Fuzzy Identification Based on Wavelet-Transformed Feature Extraction[OL].[19 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4472


	2. Chaotic Digital Watermarking Algorithm Based on The Timestamp of Local Machine
	Liu Quan,Jiang Xuemei,Li Fangmin
	Electrics, Communication and Autocontrol Technology 30 November 2005
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	Abstract:A kind of digital watermarking algorithm based on machine time is presented in this paper. Watermarking signal is generated according to chaotic sequence, and key control is determined by machine time of digital watermarking embedded algorithm. Experiments show that this algorithm has preferable robust.
	TO cite this article:Liu Quan,Jiang Xuemei,Li Fangmin. Chaotic Digital Watermarking Algorithm Based on The Timestamp of Local Machine[OL].[30 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3919


	3. Modeling and Prediction of Cyclostationary Chaotic
	Zhong Liu,Feng Xi
	Electrics, Communication and Autocontrol Technology 29 November 2005
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	Abstract:It has been shown that some chaotic time series has cyclostationary characteristic. In this paper, this characteristic is exploited for applications to modeling and prediction of chaotic time series. To this aim, a vector-autoregressive-model-based model is developed. The model first transforms the scalar chaotic time series into a vector time series based on Wold’s isomorphism, and then uses the vector autoregressive model for modeling and prediction purposes. The application of the proposed model to simulated data from the periodically perturbed Logistic map is carried out and the results show that the model works well for modeling and long-term prediction in comparison with other models.
	TO cite this article:Zhong Liu,Feng Xi. Modeling and Prediction of Cyclostationary Chaotic [OL].[29 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3864


	4. The researching which based on Cantor’s set in analysis of the functional symmetry
	Cheng Xin ,Wang Shuangwei
	Electrics, Communication and Autocontrol Technology 18 November 2005
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	Abstract:The original concept of Cantor sets to analysis unimodal signal stem from the chemistry ,the data which use the instrument of chromatogram to measure are always unimodal and asymmetry. Whether can use Cantor sets to analysis signal so that I make try. Cantor functions stems from the convince of separate form ,but Cantor sets is a perfect uncounted and self-symmetric set , so that we can use Cantor sets to research problems such as the symmetry of signal. In the certain range, comparing the result of Cantor’s function using limited dot to compute biased coefficient with using the method of third order accumulation to compute the signal’s biased coefficient ,we find that both the equispaced Cantor sampling functions and discrete Cantor sampling functions can describe the symmetry sketch. Furthermore , when we choose some unimodal signals for example , the conclusion is that when period come bigger, using Cantor functions to describe symmetric resolution are better than the method of third order accumulation.
	TO cite this article:Cheng Xin ,Wang Shuangwei. The researching which based on Cantor’s set in analysis of the functional symmetry[OL].[18 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3695


	5. A New Method for Contour Correspondence Based on the Internal Information in Intensity-Based Ultrasound Image Registration
	Jing Fang,Yang Xiao,Shao-hai Hu
	Electrics, Communication and Autocontrol Technology 28 June 2005
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	Abstract:Comparing with the CT imaging, there are a lot of speckles in the ultrasound images. When we use the probe to detect the organism, we get a set of slices which are consecutive in the centroid. In the new method proposed in this paper, every contour in a slice is designated a value that represents its size and density, then the overall “Centroid” of the slice is found. For each contour, its corresponding contour on the adjacent slice is determined based on their designated value and their polar coordinate to the slice centroid. For the aim of slice registration, adjacent slices are first aligned roughly according to their centroid, furthermore, the optimal registration position nearby which minimize the efficacy function which reflects the registration suitability at a given position.
	TO cite this article:Jing Fang,Yang Xiao,Shao-hai Hu. A New Method for Contour Correspondence Based on the Internal Information in Intensity-Based Ultrasound Image Registration[OL].[28 June 2005] http://en.paper.edu.cn/en_releasepaper/content/2305


	6. A COMPARISION OF TWO SIMILARITY MEASURES IN INTENSITY-BASED ULTRASOUND IMAGE REGISTRATION
	Shuang Gao ,Yang Xiao,Shao-hai Hu
	Electrics, Communication and Autocontrol Technology 28 June 2005
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	Abstract:We investigate two registration methods for ultrasound image relying on the intensity-based similarity measure. In the first method intensity information is given by feature points which have been extracted using Harris corner detector. The registration similarity measure is then defined as a cost-function—error cost function. In the latter method we use the same cost-function, but the uniqueness control and region correspondence is not uniform with the first method. Given this similarity measure, parametric ultrasound image registration is stated as a minimization issue. We even exploit polynomial technique to transform the whole image dataset and estimate sum of square error in first measure. The result indicates that the two methods are robust and of the order of our requirements, but the latter measure outperforms the first one.
	TO cite this article:Shuang Gao ,Yang Xiao,Shao-hai Hu. A COMPARISION OF TWO SIMILARITY MEASURES IN INTENSITY-BASED ULTRASOUND IMAGE REGISTRATION[OL].[28 June 2005] http://en.paper.edu.cn/en_releasepaper/content/2304

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