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Digital watermarking is a technique used to embed an extra piece of information into multimedia signals. Aiming at content-based audio retrieval applications, a robust audio watermarking scheme resist to low bits rates compression is proposed. The performance of proposed algorithm is analysis by common signal processing such as Mp3 compression, Real compression, filtering, amplitude compression, equalization,...
In order to solve the problem of complex target extraction from SAR image, a fast and efficient algorithm of automatic extraction under the guide of GIS is described here. Firstly, since GIS data and SAR image are heterologous data, it is very necessary to convert vector data to image file. Secondly, select a basic target which is easy to extract in SAR image and get the feature points, so that GIS...
In this paper, a new classification method of tongue fur image based on self-organizing map is presented. The method firstly designed a template to help automatically extract the image feature region of tongue fur, then extracted the color characteristics of the feature region using L*a*b* color model. Finally the training of a self-organizing feature map neural network was implemented for the automatic...
A new anti-dumping early-warning system for the export of China's products is presented, which is based on entropy weight method and SOM neutral network. It is different from traditional modeling methods. We can acquire the indexpsila weight by entropy method, and then, the indexes in which the weight are decided are used to develop classification rules and train SOM nerve network. The result of the...
Least squares support vector machine (LSSVM) has been used in soft sensor modeling in recent years. In developing a successful model based on LSSVM, the first important step is feature extraction. Principal components analysis (PCA) is a usual method for linear feature extraction and kernel PCA (KPCA) is a nonlinear PCA developed by using the kernel method. KPCA can efficiently extract the nonlinear...
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