Random-Forest-Matlab-master

并联机器人源程序，对于研究机器人的朋友很有用(parallel robot source for research robots useful friends)

JADE差分进化的变异算法，针对不同的规模，差分进化算法的性能是不同的，这是另一个变异，有需要的请下载(Variation of differential evolution algorithm, for different scale, the performance of the differential evolution algorithm is different, this is another variation, the need to download the)

由于Kalman 滤波算法将被估计的信号看作在白噪声作用下——个随机线性系统的输出， 并且其输入输出关系是由状态方程和输出方程在时间域内给出的， 因此这种滤波方法(Because of Kalman filtering algorithm will be estimated as the signal in white noise-a random under the action of linear systems, and its output input and output relationship is by the state equation and output equation in time domain are within the, so the filtering method )

驻波 行波 行驻波演示M文件,经调试，运行良好(the M.file of performing standing wave &travelling wave &standing-travelling wave)

在语音识别中来完成对语音信号的端点检测以便于减少冗余(In speech recognition to complete the speech signal endpoint detection in order to facilitate the reduction of redundancy)

CSMA implementation in matlab

LMS测相算法仿真（直线阵），通过算法产生阵列流型矩阵并进行相关分析,加噪(LMS algorithm simulation test phase (linear array), generated by an algorithm array manifold matrix and correlation analysis, noise)

这是我搭建的10W小功率太阳能电池模型，可根据实际情修改太阳能光伏电池的功率、短路电流、开路电压、额定电流和额定电压。另外还有最大功率跟踪模型和高频升压逆变模型也传上来，做得比较简单，有需要的可以参考一下~(Solar photovoltaic power generation system)

一个简单的记事本程序，实现了简单的记事功能，用matlab实现(A simple Notepad program to achieve a simple notebook features, using matlab to achieve)

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.