calculate-word

多核学习的学术论文,对深入了解和学习多核的爱好者提供帮助(Multiple Kernel Learning papers)

变步长LMS滤波器做系统辨识，有详细注释，课运行(Variable step size LMS filter to do system identification, detailed notes, classes run)

fft analisys aoudio file

说明：  DE算法整定PID参数，智能算法解决PID参数整定问题的例子。(DE for solving PID tunning)

implementation of classification based on least square error method in MATLAB environment.

肌电信号通过小波变换以及小波包来进行处理,特征提取(Wavelet transform processing of EMG signal)

说明：  一个控制面板编程的例程，讲述如何把你的程序添加到控制面板上面。(A control panel programming routines, describes how to program your control panel added to the above.)

MATIAB各种经典算法的程序，包括数据分析、绘图等等(MATLAB)

低通IIR数字滤波器设计，用数字滤波器的单位脉冲响应序列h(n)模仿模拟滤波器的冲激响应ha(t),令 h(n)=ha(nT)，其中T为采样间隔。将模拟滤波器转换成数字滤波器的实质是，用一种从s平面到z平面的映射函数将Ha(s)转换成H(z)。数字滤波器的频率响应模仿模拟滤波器的频响，s平面的虚轴映射z平面的单位圆，相应的频率之间成线性关系。(Low-pass IIR digital filter design)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!