filter

密勒码仿真,应用在通信原理课程实验中。其中包涵双相码编码过程。(Miller s code simulation, application in the communication principle course experiments.Includes two phase code encoding process.)

用于MATLAB作图中，多张图的合并（里面的文件路径需要根据需要更改）(For the MATLAB plot, the multiple number of pictures merger (inside the file path needs to be changed as needed))

color file encoding

ofdm matlab Simulink

旋转机械二维全息谱计算，真的是一个好程序，基于kaiser窗的双谱线插值FFT谐波分析。( Rotating machinery 2-d holographic spectrum calculation, Really is a good program, Dual-line interpolation FFT harmonic analysis kaiser windows.)

matlab时频分析配套源码第3章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 3, please share)

Matlab下支持向量机（SVM）的支持源码，本人主要用这个工具包做预测工作。(Matlab support vector machine (SVM) support source code, I mainly use this kit to do the forecasting work.)

批量处理灰度图像，并能够识别图像质量中心进行截圆处理，同时生成灰度直方图以及各个点的坐标文件(Batch processing grayscale images, the image quality and the ability to identify the center circle cut deal, while generating histogram and the coordinates of each point file)

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.

光伏电池的最大功率点跟踪simulink模型 (PV maximum power point tracking simulink model)