Field_distribution

随便编写的，我刚学matlab图像处理，这是我的学习程序(Just write, I just learning matlab image processing, this is my learning process)

经验模态分解，依据数据自身的时间尺度特征来进行信号分解，给出本征函数。(Empirical mode decomposition, based on the data itself characteristic time scale for signal decomposition, given the intrinsic function.)

说明：  微分矩阵组件（Differentiation Matrix Suite)(differential matrix components (Differentiation Matrix Suite))

基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。 (Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the last use of Bayesian decision obtained five types of the total recognition rate. )

介绍科学计算技术和mat lab相结合的书籍，很专业(Introduction to scientific computing and mat lab combination of books, very professional )

turbo码的matlab仿真程序，仅供参考，希望对您有用(turbo codes matlab simulation program for information purposes only, hope useful to you)

power_Transfo3phCoreType_iexc.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_Transfo3phCoreType_iexc.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

LTE下行链路空分复用闭环。仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字，8次迭代Turbo译码、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行空分复用预编码。信道模型是LTE-MIMO信道附加AWGN信道。(LTE downlink closed loop space division multiplexing. Simulation Configuration: 16QAM modulation, 1/3 rate Turbo code, 10MHz of bandwidth, one PDCCH per subframe symbol, single code word, 8 Turbo decoding iterations, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, PDSCH transmitting terminal space division multiplexing precoding. Channel model is LTE-MIMO channel additional AWGN.)

一个ever的代码，是一个代码质量还不错，值得学习(An ever code is a code quality is also good, it is worth learning)

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)