AIAA-1994-3473-359

A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation. This function produces a matrix of arbitrary dimension of symbolic elements that are indexed by their position in the symbolic matrix for ease of reference. EXAMPLE >> M = symMat([2 2], m , real ) M = [ m11, m12] [ m21, m22] >> class(M) ans = sym >> det(M) ans = m11*m22 - m12*m21

convolution of a signal

时频分析工具箱，大家可以借鉴一下DiscreteTFDsDiscreteTFDs(The time-frequency analysis toolbox, we can learn from you DiscreteTFDsDiscreteTFDs)

说明：  程序使用说明： 1、软件应用平台：Matlab6.5或更高； 2、打开方法： 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。 然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。 程序内容写在在程序的注释里。 阈值的更改没有实现可视化，在源程序中可以改。(Procedure for use: 1, Software Platform: Matlab6.5 or higher 2, open the way: the file directory set the working directory, then open the wavlet.fig, the noise boxes, enter the noise level, in the 0-0.1 between (not zero). Then process the button, it will show the experimental results, including the original image, noise image denoising image contrast and the current psnr value. wavlet.m is the program file. Program content in the program notes written inside. Threshold changes are not visualized in the source program can be changed.)

training based channel equalization

本程序实现了kalman滤波功能，并附带了仿真图片(This procedure implements the kalman filtering, and with the simulation images)

Bee algorithmBee algorithmBee algorithm(1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)图像处理、(5)数据挖掘、(Bee algorithm3)

1,通用变频器的建模和参数设置 2,通用变频器的工作原理介绍(1，Universal inverter modeling and parameter set 2, Universal inverter works)

数据记录的是在意大利某一地区同一区域上三种不同品种的酒的化学成分分析，这里利用svm进行分类(Data records is a region in Italy on the same area of three different varieties of wine chemical analysis, where the use of svm classification)

输入一副图像，检测图像的RGB，并输出其值的矩阵，将符合公式R>Rt，R>G>B,S>=(255-R)*S/R,等的图像点标记出来，并输出图像(A pair of input images, the image detecting RGB, and outputs the value of the matrix, would be consistent with the formula R> Rt, R> G> B, S> = (255-R)* S/R, and other image point marked, and output image)