power_allocation

matlab下实现降噪，功率谱计算。％程序中设定采样点数为256个，采样频率为10000hz， ％输入信号为随机噪声和两个正弦的合成信号 ％设定的滤波器的截止频率为3500hz ％通过挈比雪肤滤波器，运行程序，比较滤波前后的频域波形 ％滤波去除了高频信号(matlab achieve noise reduction, power spectrum calculation. Sampling procedure set for 256 points, the sampling frequency of 10000hz, input signal for the random noise and the two sinusoidal signals synthetic filter set a cut-off frequency 3500hz manner than through the filter雪肤, run procedures, compared before and after filtering in frequency domain waveforms filtering in addition to high-frequency signals)

说明：  将一系列图象转换成avi电影，使用matlab编程．(will be converted into a series of images avi film, the use of Matlab programming.)

Numerical optimization, Steepest descent

是一个基于遗传算法改进的模糊C均值算法，很不错的代码。(It is a improved fuzzy C-means algorithm based on genetic algorithm , a very good code. )

用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述(Monte Carlo simulation to compute the price of American option)

factral comperassion with different AI technique for image and value parameter analysis..................................................

ofdm transmission for awgn and rayleigh channels

基于MATLAB的(二维、三维)相机标定（说明书+图片+源程序）(MATLAB-based (two-dimensional, three-dimensional) camera calibration (description+ image+ source code))

MATLAB潮流和最佳潮流计算程序 MATPOWER - Matlab routines for solving power flow problems.(MATLAB trends and best flow calculation procedure MATPOWER- Matlab routines for solving power flow problems.)

Min/Max filter，最大最小滤波器，说明看英文，只是国外的人写的代码， (Description The filter computes the minima and/or maxima of an array over sliding window with a given size. Multidimensional array is fully supported: running filter in 1D, 2D filter for image processing applications (erosion/dilatation), 3D and more. This package has been implemented with a special care on the running speed: the MEX engine uses an algorithms that requires no more than three (3) comparisons per element and per dimension in all configurations. All numerical and logical class arrays are supported. Contributor (beside author) is Vaclav Potesil Acknowledgements This submission has inspired the following: Free-knot spline approximation MATLAB release MATLAB 7.8 (R2009a) Other requirements MEX correctly setup NO image processing is required Download a tiff file for )