Newton-Raphson-

产生 正态白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10。 B(m)=1/1000 (Have a normal white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0, ± 1, ± 2 , ..., ± 10. B (m) = 1/1000)

matlab仿真的STATCOM即svg滤波装置。(matlab simulation of the STATCOM that svg filter.)

仿真psk信道的一篇，PDF格式，内有源代码，完美运行，不信可以试试哦(A channel simulation psk, PDF format, the source code, the perfect run, do not believe you can try oh)

说明：  使用ReliefF算法实现特征排序，进行特征选择，上传数据集为UCI乳腺癌数据。(The data set is UCI breast cancer data, and the ReliefF algorithm is used to sort its features to realize feature selection.)

turbo 在MATLAB 下的仿真 已仿真通过 有问题可以联系我(turbo in the MATLAB simulation has been under question through simulation can contact me)

matlab 处理数理统计，跟浙江大学数理统计同步(matlab processing, mathematical statistics, mathematical statistics with the synchronization of Zhejiang University)

here these are the compiled files.

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!

codes at matlab for adsl, encoders, etc

hough transform test images