SNR_singlech

matlab程序，实现卫星的两行轨道要素和位置速度矢量的互转，用于轨道动力学计算(matlab program to realize the satellite orbital elements and position of two lines of the velocity vector of the system conversion, calculated for the orbital dynamics)

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.

Won Y. Yang · Tae G. Chang · Ik H. Song · Yong S. Cho · Jun Heo · Won G. Jeon · Jeong W. Lee · Jae K. Kim Signals and Systems with MATLAB

2013年全国大学生数学建模本科组B题：采用Matlab软件编程，程序易理解，类似C(2013 National Undergraduate Students' Mathematical Modeling Group B title: using Matlab software programming, the program is easy to understand, similar to the C)

求一幅模拟干涉条纹图的不同区域的条纹密度，并且用0-255表示，清晰，并且较为准确(Find a simulated fringe fringe pattern density in different regions, and said with 0-255, clear and more accurate)

无刷直流电机Matlab/Simulink仿真(BLDC Simulink simulation)

本程序的性能已经达到较高水平，matlab程序运行时导入数据文件作为输入参数，均值便宜跟踪的示例，各种资源分配算法实现，对于初学matlab的同学会有帮助，具有丰富的参数选项。( The performance of the program has reached a high level, Import data files as input parameters matlab program is running, Example tracking mean cheap, Various resource allocation algorithm, Matlab for beginner students will help, It has a wealth of parameter options.)

上传内容为模糊C均值图像分割方法的Matlab程序源代码(From the contents of the fuzzy C-means image segmentation of the Matlab source code)

该代码是mimo仿真源代码对学习mimo入门很有帮助(The source code is emulation mimo mimo entry helpful for learning)

基于深度学习的稀疏自编码器，对图像特征进行提取，然后分类(Extraction the encoder based on sparse feature depth study)