canny20130120

说明：  基于matlab的课程设计，功能是实现AM信号的解调，运用了两种方法实现。(Matlab-based curriculum design, function is to achieve the AM signal demodulation, the use of two methods to achieve.)

混沌现象的基于matlab所进行的编程，实现了简单的运算(file for )

a code source for 3D display

This matlab code is for the processing of digital communication codes

本书介绍啦MATLAB 7.X版本与其他语言混合编程的方法，内容包含在MATLAB中以文件导入，导出数据，在Windows和Linux开发FORTRAN语言MEX文件(You introduce the book MATLAB 7.X version and other languages mixed programming methods, contents included in MATLAB in order to document import, export data, Windows and Linux at the development of FORTRAN language MEX file)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

Delta function and its differential

用于本科大四毕业风力机气动设计工作，采用改进的Wilson设计方法(Used for pneumatic design of graduated wind turbine)

REMOVAL OF IMPULSE NOISE USING TRIMMED MEDIAN FILTER

用于综合排序，根据评价对象与正理想解、负理想解之间的距离排序(Used for comprehensive sorting, according to the distance between the evaluation object and positive ideal solution and negative ideal solution)