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基于均方误差参数比较OFDM系统中LS和MMSE两种自适应信道估计算法的性能，程序开头都有英文注释，可以直接运行的~个人认为写得比较好，跟大家一起分享~(Based on the Mean Square Error Comparison of OFDM system parameters LS and MMSE channel estimation of two adaptive algorithms, procedures are available in English at the beginning of the Notes, you can directly run the ~ personally think that is better written, with the U.S. to share ~)

说明：  主要用于实现模糊滑模控制，不仅效果明显，而且代码简单有效(fuzzy sliding control)

用matlab编写的正交相移调制，已通过测试，可以运行(QPSK)

Attractor Reconstruction With Matlab

说明：  对于matlab版本过高，advisor不能顺利进行，优化ADVISOR，使汽车仿真顺利进行。(The matlab version of the high, advisor to be conducted smoothly, optimization ADVISOR, so car simulation smoothly.)

通过计算一批整数的阶乘来测试电脑的运行速度。(Test running speed of a computer by calculating a power of some int numbers. And the program is writen with QT.)

这个matlab小程序实现了基于11ac射频协议测试中的频谱掩膜比较(This small program to achieve the matlab based on 11 ac rf spectrum mask comparison of protocol testing )

利用類神經網路對Schwefel22測試函數建立模型，為此Schwefel22函數設立4個變數，模擬資料100筆，測試資料50筆，並將上述資料以倒傳遞類神經網路MATLAB2013a軟體，利用其具有學習及記憶能力加以訓練及測試(The use of neural network modeling of Schwefel22 test functions, established for this purpose Schwefel22 function four variables, simulation data 100 pen, 50 pen test data, and these data to back-propagation neural network MATLAB2013a software, the use of which has learning and the ability to be trained and tested memory)

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A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)