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In this paper a Micro-Electro-Mechanical Systems (MEMS) accelerometer signal noise reduction method based on linear compressing of wavelet coefficient is presented. First of all, the original signal being transfered by using Mallat algorithm, a dual-threshold concept is proposed corresponding to processing the singular points and high-frequency noise. Then, the threshold for the singular point detection...
In this paper an embedded system for the pollution control in automobiles is described. In particular, the focus is on the description of the control algorithm, which receives, as an input, a signal from a MEMS accelerometer and uses it to control the fuel injection rate, in order to reduce the toxic emissions from the exhaust gases. A DSP implementation and simulation results of the same are detailed
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