MATLAB

研 究了双目视觉测量系统的结构参数优化问题.对双目视觉测量的有效视场约束条件进行了数学 描述，建立了双目视觉坐标测量系统的数学模型.在考虑像点提取误差的条件下，利用误差理论建立了测量 误差模型，并基于待测量的视场范围要求，定义了测量系统结构参数的优化指标。最后，通过枚举法进行了 优化求解.(Studied binocular vision measurement system to optimize the structural parameters of the problem. For the effective measurement of binocular vision bound by the terms of field of view of mathematical description of the establishment of binocular vision coordinate measuring system mathematical model. In considering the error as the point of extraction conditions the use of error theory the establishment of measurement error model and measurement based on the field of view to be the scope of the requirements of the definition of the measurement system parameters to optimize the structure of indicators. Finally, the optimized enumeration method for solving.)

计算最小费用最大流的完整Matlab函数(Calculate the minimum cost maximum flow full Matlab functions)

matlab的模式识别工具箱箱，非常有助于开发可直接使用。 (Matlab pattern recognition toolbox box, very helpful in the development can be used directly.)

Soft-Switching DC/DC Converter With a Full ZVS Range simulink model.

foeward featurrselection

这是一个医学图像处理和传输的标准。在matlab中提供了读写DICOM文件数据的支持 (This is a medical image processing and transmission standards. Provided in the matlab file data read and write DICOM support)

说明：  国内的一篇相控阵雷达分选的论文 不错 利用模糊理论(chinese paper on sorting of phased array radar )

改进的KPCA，输出各特征属性，方差相同(improvement of kpca,it can put out the same var in every direction)

使用多种方法预测股市的变化率 Estimate Volatility using different methods(Estimate Volatility using different methods)

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