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jpeg在matlab下的仿真实现，整个程序运行还行，共享给大家(jpeg of the Matlab Simulation, and the whole process has run OK, for everyone to share)

《MATLAB时尚百例实例》实例84-1()

基于云模型算法的实现。二维，十维，三十维，在目标范围内搜寻最优解(Based on cloud model algorithm. Two-dimensional, 10 dimensional, 30 dimensional, in the search for optimal solutions within target range)

本代码讲了在matlab中实现数据的预处理的方法（包括标准化变化）等(The M codes describe how to pre-treat the datas in matlab (including the standardized convertion) etc.)

matlab程序的PPT教案及实例源代码，以及相关矩阵概念的补充(Matlab PPT example case and source code, and related matrix of the concept of added)

Kalman Example for robotics Visual Servoing(Kalman Example for robotics Visual Servoi Vi)

粒子群神经网络的预测编程实现,电力负荷预测本人已实现(Particle Swarm neural network predictive programming, I realized the power load forecast)

基于RLS及DTW算法的数字语音识别。用RLS算法来消噪从而提高DTW算法的识别率(Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection)

说明：  在matlab环境下，对无线通信系统的发射机和接收机信号传输进行仿真(In the matlab environment, on wireless communication system transmitter and receiver signal transmission simulation)

张量的模式展开是一个基本的技术，已有各种代码展开结果不尽相同，本代码是根据张量研究领域权威文献“Tensor Deco们positions and Applications”中的公式编写，并经过多次实例验证，与理论描述相符。文件包括两个m文件，一个是按模n展开，而另一个是逆变换，即按模n叠合。(unfolding of the tensor mode is a basic technology, there are a variety of code to make different result. However this code is written by referring to the authority of the tensor field of research literature Tensor Deco their positions and Applications and after several instances verification, is consistent with the theoretical description. The documents include two m-files, one is unfold.m, and the other is the inverse transformation, that is refold.m.)