modeling_ac_dc_converter_0918a3

This algorithm routing by reinforcement learning

kernel PCA feature extraction

基于canny边缘检测，模糊c均值聚类的图像分割(Canny edge detection based on fuzzy c-means clustering image segmentation)

仿真信号 进行卡尔曼滤波去除噪声 并用KNN算法实现定位(Kalman filter is used to remove noise from simulated signals and KNN algorithm is used to locate them.)

this is filter bank based fingerprint matching system developed in matlab

Plucked String Models

设计巴特沃斯低通和高通IIR数字滤波器，得到二阶频率级联参数(Design of Butterworth low-pass and high-pass IIR digital filters, to be cascaded second-order frequency parameter)

说明：  如何用MATLAB编写有限元程序，对进行有限元开发有很大帮助。(How to write MATLAB finite element program, the development of the finite element of great help.)

子空间辨识,经典的英文版论文，学习状态子空间必备基础，包含算法和证明(Subspace Identification for Linear Systems：Theory- Implementation-Application)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)