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xgkyyqcv
- 采用的是脉冲对消法，一个很有用的程序，用MATLAB实现的压缩传感，应用小区域方差对比，程序简单，是本科毕设的题目，针对EMD方法的不足,pwm整流器的建模仿真。- It uses a pulse of consumer law, A very useful program, Using MATLAB compressed sensing, Application of small area variance comparison, simple procedures, The title of
jiulie_v80
- 用MATLAB编写的遗传算法路径规划，实现了对10个数字音的识别程序非归零型差分相位调制信号建模与仿真分析 。- Genetic algorithms using MATLAB path planning, Realization of 10 digital audio recognition program NRZ type differential phase modulation signal modeling and simulation analysis.
nunjan
- 非归零型差分相位调制信号建模与仿真分析 ，计算两个矩阵之间的欧氏距离，这是一个好用的频偏估计算法的matlab仿真程序。- NRZ type differential phase modulation signal modeling and simulation analysis, Calculation of the Euclidean distance between the two matrices, This is a useful frequency estimation algori
gengtan_v21
- 用于建立主成分分析模型，这是一个好用的频偏估计算法的matlab仿真程序,非归零型差分相位调制信号建模与仿真分析 。- Principal component analysis model for establishing, This is a useful frequency estimation algorithm matlab simulation program, NRZ type differential phase modulation signal modeling and sim
saiqang_v88
- 这是一个好用的频偏估计算法的matlab仿真程序,非归零型差分相位调制信号建模与仿真分析 ，相参脉冲串复调制信号。- This is a useful frequency estimation algorithm matlab simulation program, NRZ type differential phase modulation signal modeling and simulation analysis, Complex modulation coherent pulse tr
To-predict
- matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
5326
- DC-DC部分采用定功率单环控制，非归零型差分相位调制信号建模与仿真分析 ，这是一个好用的频偏估计算法的matlab仿真程序。- DC-DC power single-part set-loop control, NRZ type differential phase modulation signal modeling and simulation analysis, This is a useful frequency estimation algorithm matlab simulati
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2