The-Two-Ring-MIMO-Channel-Model

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

Outputs the inputted numbers in increasing order

matlab曲线拟合工具箱，包含进行曲线拟合的所有内容，非常方便使用。(matlab curve fitting toolbox contains curve fitting, and is very convenient to use.)

guassian sobel filter for image processing

说明：  Matlab的神经网络工具箱实用指南.doc(Matlab neural network toolbox Practical Guide. Doc)

数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度(K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。)

用matlab编程使用粒子群算法解决ZDT测试函数(Programming with matlab using particle swarm algorithm to solve the test function ZDT)

masking of an image with diffrent size

聚类分析matlab程序，用于对数据进行聚类分析(Cluster analysis matlab program)

MATLAB CODE FOR INTERPOLATION