EMD

四元数多重信号分类算法的matlab程序(MUSIC algorithm of quaternion)

两个信号源，八个阵元，采用DML实现DOA方位角估计，给出空间谱图。(Using DML algorithm to estimate the azimuth of DOA)

Mutual Information Feature Selection

说明：  灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。 此程序用来作灰色预测。 (Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)

TH-PPM-UWB的simulink仿真框图以及各个部分的S函数(TH-PPM-UWB in the simulink simulation block diagram and various part of the S function)

GSCALE Scales the intensity of the input image. G = GSCALE(F, full8 ) scales the intensities of F to the full 8-bit intensity range [0, 255]. This is the default if there is only one input argument. G = GSCALE(F, full16 ) scales the intensities of F to the full 16-bit intensity range [0, 65535]. G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to the range [LOW, HIGH]. These values must be provided, and they must be in the range [0, 1], independently of the class of the input. GSCALE performs any necessary scaling. If the input is of class double, and its values are not in the range [0, 1], then GSCALE scales it to this range before processing. The class of the output is the same as the class of the input. Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins Digital Image Processing Using MATLAB, Prentice-Hall, 2004 $Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $

MATLAB FOR FULL MIMO OFDM CODING

ufc无监督优化模糊聚类用于彩色图像分割(ufc Unsupervised Fuzzy Clustering for Color Image Segmentation)

Implementacion del metodo Gauss-Seidel para la solucion de sistemas de ecuaciones, tomando como aproximacion inicial x0.

利用迭代法实现图像阈值分割，简单好用，自带matlab图像直接运行(terative method to achieve image segmentation, easy to use, comes directly run matlab image)