sensorless_MRAS

l1-magic的matlab代码，l1-magic: Recovery of Sparse Signals via Convex Programming(l1-magic of matlab code, l1-magic: Recovery of Sparse Signalsvia Convex Programming)

very simple watermarking using matlab. to hide a message in cover image..

数据挖掘中SVM算法实现（用MATLAB实现）(SVM data mining algorithm (MATLAB))

经典的行人检测算法，利用HOG和SVM实现此算法。已调试可以正常运行。(Classic pedestrian detection algorithm, HOG and SVM to implement this algorithm. Has debugging normal operation.)

电位电极系测井曲线，用matlab编写,可用于学测井的人参考(Potential electrode system logs, prepared by matlab, people can learn logging for reference)

高压输电线的工频电场预测mathlab代码 最低高度11米对地1.5m的工频电场的预测(Power frequency electric field is calculated)

自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性(Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties)

多元逐步线性回归的matlab程序，里面有交通流数据资料，自己用的，可以用的(Multiple stepwise linear regression of the matlab program, there is a traffic flow data, for my own use, can be used)

this is a matlab implementation for som network

Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining method is required to discover informative label correlations