In this paper, we first discussed the wireless multimedia transmission system and the relations among source distortion (Ds), channel distortion (Dc), and the end-to-end distortion (D). Then we focused on computation of Dc and based on a simple error concealment scheme proposed an effective channel distortion estimation algorithm. Simulation results have shown the high resolution of this estimation algorithm, which will be important for unequal error protection and joint source-channel coding.
The embedded zero-tree wavelet algorithm (EZW) is widely adopted to compress wavelet coefficients of images with the property that the bits stream can be truncated and produced anywhere. The lower bit plane of the wavelet coefficents is verified to be less important than the higher bit plane. Therefore it can be truncated and not encoded. Based on experiments, a generalized function, which can provide a glancing guide for EZW encoder to intelligently decide the number of low bit plane to be truncated, is deduced in this paper. In the EZW decoder, a simple method is presented to compensate for the truncated wavelet coefficients, and finally it can surprisingly enhance the quality of reconstructed image and spend scarcely any additional cost at the same time.
Presently, image sequences segmentation algorithm can be mainly separated into two parts. One is based on brightness, chroma and margin pixel information, the other is based on frame disparity information, just like Frame Disparity Threshold, Change Detection Mask, High Order Statistic and so on. The first method is seldom used recently, while the latter one is deficient in noise-sensitive. So, we take a special point of view in this paper, and present da new segmentation algorithm based on wavelet with timeline method. Here timeline is offered to control time sequences. Firstly, we transform the image sequences by wavelet on the timeline. After the transformation, we should hold the high- frequency coefficient on the part of motion, and then we obtain motion object's mask by morphological process. By such a series of operations, we can get the final motion object. Finally we device some experiments to measure the methods processing efficiency and real-time properties. The results show that the method is simple and practical.
An essential part of a machining system in the unmanned flexible manufacturing system, is the ability to automatically change out tools that are worn or damaged. An optoelectronic method for in situ monitoring of the flank wear and breakage of cutting tools is presented. A flank wear estimation system is implemented in a laboratory environment, and its performance is evaluated through turning experiments. The flank wear model parameters that need to be known a priori are determined through several preliminary experiments, or from data available in the literature. The resulting cutting conditions are typical of those used in finishing cutting operations. Through time and amplitude domain analysis of the cutting tool wear states and breakage states, it is found that the original signal digital specificity (sigma) 2x and the self correlation coefficient (rho) (m) can reflect the change regularity of the cutting tool wear and break are determined, but which is not enough due to the complexity of the wear and break procedure of cutting tools. Time series analysis and frequency spectrum analysis will be carried out, which will be described in the later papers.
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