GUI

很清晰的二项分布 matlab 代码,有助于理解寿命分布(Binomial distribution is very clear matlab code to help understand the life distribution)

基于matlab，利用香浓能量对心音信号进行包络提取(Based on matlab, using Shannon energy of the heart sound signal envelope extraction)

状态完全可测时，基于Lyapunov稳定性理论的模型参考自适应控制(When the state is completely measurable, Lyapunov stability theory based model reference adaptive control)

Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)

说明：  通过c++程序实现的四类不同的地层数据的AVO正演模型(AVO forward model of four kinds of different stratum data realized by C + + program)

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

calculates the signal to noise ratio in each subchannel

hodge decomposition for 2D vector fields.

在图像增强的处理过程中采用了小波增强的方法，对模糊图像有一定的作用(In the image enhancement process to enhance the use of the wavelet method, the blurred image to a certain extent)

说明：  灰色控制 灰色控制 matlab(Control gray gray control matlab)