首页> 外国专利> METHOD FOR ELIMINATING PUMP NOISE BY EMPIRICAL MODE DECOMPOSITION AND PARTICLE SWARM OPTIMIZATION

METHOD FOR ELIMINATING PUMP NOISE BY EMPIRICAL MODE DECOMPOSITION AND PARTICLE SWARM OPTIMIZATION

机译:通过经验模式分解和粒子群优化消除泵噪声的方法

摘要

A method for eliminating pump noise by empirical mode decomposition and particle swarm optimization is provided. In the method, based on a hypothesis of the pump noise being a linear combination of a group of bases, an extracted pump noise sample is decomposed into a group of signals as bases by the empirical mode decomposition. Coefficients of the optimized linear combination of the group of bases is determined by the particle swarm optimization, thus updating the pump noise sample and improving a noise elimination effect. During a limited number of noise elimination periods, a current pump noise sample is modified by weighting, such that in a limited number of iterations, the current pump noise sample gradually converges to the pump noise waveform in the unit of a varied period, so as to be applicable to a slow variation of the pump noise during a long-time operation of the system.
机译:提供了一种通过经验模式分解和粒子群优化消除泵噪声的方法。在该方法中,基于泵噪声的假设是一组碱基的线性组合,通过经验模式分解,提取的泵噪声样本被分解成一组信号作为基础。通过粒子群优化确定基部组的优化线性组合的系数,从而更新泵噪声样本并提高噪声消除效果。在有限数量的噪声消除时段期间,通过加权修改电流泵噪声样品,使得在有限数量的迭代中,电流泵噪声样品逐渐收敛到各个时段的单元中的泵噪声波形,因此适用于系统的长时间操作期间泵噪声的缓慢变化。

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