神经网络图像识别

说明：  控制系统计算机辅助设计第二版--MATLAB语言与应用一书中的 源码(Computer Aided Control System Design Second Edition- MATLAB language and application of a source book)

Fuzzy logic algorithm

signal separation for comunicaion university project

此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。 程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。(This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the elliptic curve fitting procedure. Process x, y, respectively transverse and longitudinal coordinates of sampling points. The results generated matrix of elliptic curve aX ^ 2+ bXY+ cY ^ 2+ dX+ eY+ f = 0 in the coefficients.)

excel和matlab混和编程exlink实现回归与模拟,还有几个插值运算小程序(excel and Matlab programming exlink mixture to achieve reunification with the simulation, Operational several small interpolation procedures)

线性时频分布的工具箱。包含文档说明和代码(Linear TimeFrequency Toolbox)

matlab code for DICOM Example Files

this is the model of power factor correction by matlab program

作为用MATLAB语言编写的一段卡尔曼滤波程序，恳请大家指正！(Time-varying Kalman filtering process, as with the Writing section of MATLAB language program, I urge you to correct me!)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)