IRIS_Tbx_8_20110420a

用来进行支持向量机数据分类和特征提取。可用于机械故障诊断领域(Used for support vector machine classification and feature extraction. Can be used in the field of mechanical fault diagnosis )

说明：  是cso得源代码，里面有详细的写法，主要有速度和位置更新公式(It is the source code of cso, which has detailed writing, mainly including speed and position update formula)

此程序为解非线性方程组的逆Broyden秩1迭代法，为MATLAB源程序(This procedure for the solution of nonlinear equations inverse Broyden iteration rank 1 for MATLAB source code)

金融数量分析编程配套源码，各章内容全面，代码完整，不可多得的资料(Quantitative analysis of financial programming supporting source ，Each chapter is comprehensive, code integrity, a rare)

三相光伏逆变并网的仿真，小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法。( Three-phase photovoltaic inverter and network simulation, Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising.)

Matlab source code to visualize Homography co雈ficients.

模糊数学MATLAB工具箱，数学建模工具，运用MATLAB解决数学建模之中的模糊数学分析等问题。(MATLAB fuzzy toolbox, mathematical modeling tools, the use of MATLAB to solve mathematical modeling of the fuzzy mathematical analysis and so on.)

说明：  对离散数据运用最小二乘法进行椭圆拟合，运行过了觉得还不错就上传了。(Discrete data on the use of least squares method for ellipse fitting, run over a feel good on the uploaded.)

The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment. Each segment of the input ECG T is compared to the reference segment using SEA. The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal. A user specified threshold value on the correlation factor c is used for decision

数字图像处理matlab实现，包括如下程序： 1.直方图规定化为高斯双峰函数 2.窗口形状自适应（十字形或矩形）的中值滤波 3.彩色图像目标提取并与背景图像合成 4.插值外推法的彩色图像饱和度调整 5.多种插值方法实现的图像放大和缩小 6.频域变换及分析 7.几何校正 8.插值外推法的黑白图像对比度增强 9.运动模糊矫正(Digital image processing matlab realize, including the following procedures: (1) the bimodal histogram specification as a function of two Gaussian shape adaptive window (cross or rectangular) median filtering three color image with the background object extraction and image synthesis 4. Color image interpolation extrapolation saturation adjustment 5. various interpolation methods to achieve images zoom in and out 6. frequency domain transformation and analysis 7. geometric correction 8. interpolation extrapolation of the black and white image contrast enhancement 9. motion blur correction)