Advances in Mechanical and Electronic Engineering: Volume 3 by Shuai Fu, Chang-guang Wang (auth.), David Jin, Sally Lin

By Shuai Fu, Chang-guang Wang (auth.), David Jin, Sally Lin (eds.)

This publication comprises the amount three of the court cases of the 2012 foreign convention on Mechanical and digital Engineering(ICMEE2012), held at June 23-24,2012 in Hefei, China. The convention supplied an extraordinary chance to collect around the globe researchers who're operating within the fields. This quantity three is concentrating on digital Engineering and digital verbal exchange; digital Engineering and digital photograph Processing.

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This method can obtain the superior wavelet coefficients estimation through adjusting two adjustable parameters. This method has the better ability for reducing noise interference. Keywords: Transient, wavelet transform, threshold de-noising. 1 Introduction Electric power quality issues have captured increasing attention in electric engineering in recent years, for its degrading the performance and efficiency of customer loads, especially power electronics loads [1,2]. Power quality monitoring (PQM) will be an effective means to detect the power disturbances, such as voltage sags, oscillations, pulses.

Energy-aware mapping for tile-based NoC architectures under performance constraints. In: Asia South Pacific Design Automation Conference, pp. com Abstract. In this article, the wavelet analysis method is used to detect and analyze voltage sag signal contaminated by white noise. A new threshold selection method based on the wavelet decomposition layer is proposed, in view of the characteristic of noise coefficients which decrease when the scale increases. This method can obtain the superior wavelet coefficients estimation through adjusting two adjustable parameters.

Bai have more than one target, there will be multiple reflected signal in the increasing and decreasing portion of the emission signal, by using above method, we get multiple target information points, we assume there be two targets, as figure 4 shows, 1, 2 are real target information points, 3, 4 are fake target information points, and there are 50 percent fake alarms, this will cause the system lose the alarm ability. Too much fake alarm will not decrease the burden of the driver, on the opposite, it will make them highly nervous.

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