MatlabGUIHarris

Parameter Estimation using Prediction Error Method

电力系统的潮流MATLAB计算问题 可以方便的计算潮流(MATLAB power flow calculation problem can easily calculate the trend )

偏最小二乘法计算程序软件，实现最小二乘计算，包含各种最小二乘算法(Partial least squares computer program software, to achieve least squares calculation, includes a variety of least squares)

该源代码程序是关于张德丰所编写matlab小波分析的第五和六章(the sourcecodes are match with the book named matlab wavelet analysis by Zhang Defeng)

matlab算法，卡尔曼滤波，伪距单点定位，精度1-2m，精密星历可采用全天数据，处理速度很快(matlab algorithm, Kalman filtering, pseudorange single point positioning accuracy of 1-2m, precise ephemeris data can be used throughout the day, the process is fast)

kground: Abnormally high CSF 3-OMD occurs frequently for RLS patients indicating either increased L-dopa synthesis, limitations in L-dopa decarboxylation or increased MAT/COMT activity, or some combination of these. Increased tyrosine hydroxylase activity was found on both the RLS autopsy and the rodent iron-deprivation model of RLS, suggesting increased DA synthesis in RLS. We, therefore, hypothesized elevated 3-OMD in RLS results from increased DA synthesis and that this should occur accordingly with increased HVA. It would then also reflect both the more severe iron insufficiency pathology of RLS and greater clinical severity, shown by the objective measure of PLMS/hr. Methods: Patients off RLS medications and matched controls had

图像处理，用于在MATLAB中播放AVI视频文件。附送标准AVI文件一枚。(Image processing, used to play AVI video files in MATLAB. With a standard AVI file.)

algoritmo pavilis, para el adelgazamiento de imagenes

数数字信号处理二仿真作业，也可以进行参考学习交流。(Computer Exercises)

MATLAB函数参考手册，查看matlab函数作用以及功能。( SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more time than SVMLSex01.m Method from Christopher J. C. Burges: "A Tutorial on Support Vector Machines for Pattern Recognition", page 9 Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16) Subject to: sum{ai*yi}=0 ,function (15) and ai>=0 for any i, the particular set of constraints C2 (page 9, line14). The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)