Approximation_Entrop

实现LPC线性预测分析,能够提取AR模型参数并进行DCT变换处理(The realization of LPC linear prediction analysis, AR model parameters can be extracted and DCT transform)

麻省理工學院电子工程与计算机科学学院 MATLAB® 使用指南(MIT electrical engineering and computer science colleges MATLAB)

灰度图像边缘检测中的canny算法的MATLAB仿真实现(MATLAB simulation grayscale image canny edge detection algorithm to achieve)

Practical Multi-Fading Two-Stage Fault-Tolerant Federated Filter for Multi-Sensor Information Fusion

数据快照的特征提取，获得基模态、特征值和模态系数，以及数据的后处理。(Feature extraction of data snapshot, obtaining basic modes, eigenvalues and modal coefficients, and post-processing of data.)

通过使用填充和不填充观察其滤波效果！使用了低通滤波器生成一个高斯滤波器！(Fill and not fill through the use of filtering effect observed! Low-pass filter used to generate a Gaussian filter!)

说明：  遗传算法解决 TSP 问题matlab源程序 (genetic algorithm to solve TSP source Matlab)

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!

matlab微分方程式，例用henu法例題解法使用說明。(henu s exp)

filtrage active parallèle est leur rô le dans les réseau électrique