cljs

粒子群算法，用matlab实现，内含几个测试参数。(Particle swarm optimization with matlab realize that contains several test parameters.)

IT gives the IFFT of the given signal

通过计算机上的多媒体卡，按照下列过程进行声音信号的录制、处理和回放，观察处理前后的波形，同时比较声音信号处理前后的效果。 1、 将录制的信号反褶以后播放（反褶以后的信号移到t=0点开始）。 2、 将录制的信号改变取样率（相当于进行了尺度变化）以后播放。 3、 将录制以后的信号延时1s，并将幅度降低一半，接着与原来的信号相加，然后播放。(Multimedia card on your computer, follow the process for recording, processing, and playback sound signal waveform observed before and after treatment, while comparative effectiveness sound signal before and after treatment. 1, the signal recorded after deconvolution player (deconvolution signal moves after t = start 0:00). 2, the signal is changing the sample rate recording (is equivalent to a scale change) later playback. 3, after the recorded signal delay 1s, and reduce the rate by half, and then with the original signal are added, then play it.)

HIgh pass FIR filter. Can be applied to one dimensional signal.

将给定电流和网络画图,可对幅度和分量进行设置(draw picture as the given current and the mesh)

完整的1X1mm大小的方孔衍射程序............................... 可以运行，会有点慢(Complete 1 x1mm square hole the size of the diffraction process)

模態參數識別法中的特徵系統實現法，在時域法中用於相近模態求取模態參數(Modal parameter identification method is characterized in system implementation method for obtaining similar modal modal parameters in the time domain method)

归一化LMS算法即NLMS算法源程序，自适应信号处理变步长经典算法(Normalized LMS algorithm for the NLMS algorithm source code, adaptive signal processing algorithm for variable step classical)

NExt法(自然激励技术法)模态参数识别预处理(The NExt France (natural incentive Technology Act) modal parameter identification pretreatment)

提取数据波形时域特征（绝对幅值、平均值、峭度、过零点）并且用LDA分类(Time-domain waveform data extraction features (absolute amplitude, mean, kurtosis, zero crossing) and classification with LDA)