w2

针对现代数字信号处理当中的卡尔曼滤波，给出实现源码。(Modern digital signal processing for which the Kalman filter, is given to achieve source.)

基于运动的视频前景分割实现方法，matlab代码(Prospects for the video based on motion segmentation method, matlab code)

在度量两个矩阵时，快速的度量函数能有效地提高检索效率，在此采用EMD度量函数(In the measure two matrix, fast measurement function can effectively improve the retrieval efficiency, in this the EMD measure function )

PHOTOVOLTAIC MODELISATION WITH SIMULINK

matlab详细手册,chm格式使用起来非常方便(matlab detailed manual, chm format is very convenient to use)

UKF在机动目标跟踪中的程序，可以直接运行(UKF in maneuvering target tracking programs can be run directly)

adaboost工具箱,可以运行，初学者过来看看。(adaboost toolbox, you can run, beginners come to see.)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

code example demonstrating Wildcard searching techniques

基于dictionary learning的MR图像重建的代码，希望对从事MR图像重建的朋友有用，使用matlab开的的代码～～(dictionary learning for MR image construction)