juxing

it is a speech recovery system which can remove noise from received signal

说明：  LTE天线模型仿真 LTE_System_Level_1.0_r247 2010最新(LTE--channel_gain_wrappers FROM LTE_System_Level_1.0_r247)

mimo-ofdm系统检测算法的matlab仿真与研究(study of mimo-ofdm)

CoOperative BPSK Modem

实现极化的FDR-warshart分类，对初学者非常有用，可以调试通过，可以对美国旧金山数据进行极化分类(Achieve polarization FDR-warshart classification, very useful for beginners, you can debug through, data can be polarized in San Francisco Category)

为一幅图像加椒盐噪声，分别使用3*3邻域，5*5邻域和超限像素平滑法对图像进行平滑处理。

QPSK调制以及误码率计算程序，含分析报告，对于通信专业的人士有一定帮助(QPSK modulation and the bit error rate calculation procedures, including analytical reports, for the communications professional to help people have a certain)

以人体步行运动为研究对象，通过构造人体几何和运动模型(Using human ambulation as the research object，by constructing human geometrical and kinetic model)

说明：  单发单收的16PSK仿真，并统计系统的误码率(One received 16PSK single simulation and the BER statistics)

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!