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针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

标准的卡尔曼滤波程序，使用matlab实现，程序中通通过一个简单的模拟，说明了卡尔曼滤波器的跟踪滤波原理。 (Standard Kalman filtering procedures, the use of Matlab implementation, pass through a simple simulation program, the Kalman filter tracking filter principles.)

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有源电力滤波器在产生指令电流时，基于瞬时无功功率的检测方法需要用到低通滤波器，本程序能够实现滑动滤波！(APF generating command current, based on instantaneous reactive power detection methods need to use a low-pass filter, the program can achieve sliding filter!)

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本文利用Matlab对辅助图像处理做了一个全面的介绍，对初学图像处理的朋友很有帮助(It has benefits for learners)