numerical_methods_using_matlab

基于ica的特征提取算法,主要是提取方向角特征.研究ICA的下载.(based on the genotype and phenotype of ica feature extraction algorithm, is the main feature extraction direction angle. Research ICA download.)

通过粒子群优化算法实现函数的最优化，即求函数的最小或者最大值(By particle swarm optimization algorithm to realize function of optimization, the function or the minimum or maximum)

电机能量回馈的simulink模型，自然制动，反接制动的模块(Simulink model of the motor regenerative natural brake, reverse braking module)

说明：  VMD是通过迭代搜寻变分模型（具体怎么搜寻，请亲们自己看，我主要讲他的大概）最优解， 来确定我们所知的模态uk(t)及其对应的中心频率ωk和带宽。 每个模态都是具有中心频率的有限带宽（就是在频域中有在一定的宽度）。所有模态之和为源信号。(VMD is to determine the modal UK (t) and its corresponding central frequency, k and bandwidth by iteratively searching for the optimal solution of the variational model (see dear friends for details, and I will mainly talk about his approximate solution). Each mode is a finite bandwidth with a central frequency (that is, a certain width in the frequency domain).The sum of all modes is the source signal.)

椭圆滤波器的设计与计算，能根据设计者的要求计算出滤波器的阶数(Elliptic filter design and calculation, according to the requirements of the designer to calculate the order of filter)

一个Matlab 示波器示例，动态显示后台数据(Matlab oscilloscope)

svd和nmf的对比，在时间和效果对比，各个算法的特点(svd VS nmf)

说明：  最简单的模拟退火算法，自己编的小程序，用于优化问题，求全局最小值。(simmulated annealing (SA))

两信号发射机在交叉区域的接受波形图的matlab仿真程序 (The two signal transmitters accepted in the cross-wave region of the matlab simulation program )

将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。(Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant second generation wavelet case. A denoising method of redundant second generation wavelet using neighbor dependency is presented. It overcomes the deficiency of traditional thresholding approaches. In this method, an original signal is decomposed by redundant second generation wavelet, and the detail and approximation signals have the same length as the original signal. The detail signals at each scale are then processed by neighbor dependency. Finally, the approximation signal and processed detail signals are reconstructed by inverse transform of redundant second generation wavelet to realize the signal denoising. )