diode

这是Cisco中mpls-lab的比较好的参考资料，希望对大家有帮助。(This is the Cisco in the mpls-lab comparison of a good reference to all of us want to help.)

EM Scattering of the ocean surface.Ocean surface spectrum generation with matlab.

matlab由浅到深的解析，源码都有，很好的初学者学习资料(matlab from shallow to deep parsing, source code has, very good information for beginners to learn)

通信、雷达专业；模拟线性调频匹配滤波，模拟白噪声通过匹配滤波器。(Communications, radar professional analog linear FM matched filtering, analog white noise through the matched filter.)

最优控制算法案例的Matlab完整详解，可实现最优控制问题的解析解法，非常有参考价值！根据此程序，可解决大部分最优控制问题的程序设计和求解！(The optimal control algorithm Matlab example of a complete solution, can achieve the optimal control problem analytic solution, a very valuable reference! According to this procedure, can solve most of the optimal control of the program design and solution!)

matlab编写的有关图像识别分类方法的源代码，有学习价值(matlab prepared by the image recognition classification of the source code, learn the value of)

脉冲程序含有时滞的情况的程序Pulse programs contain the delay of program(Pulse programs contain the delay of program)

锁频环又称为自动频率控制（AFC）环，其利用反馈回路对输入频率变化进行调整，最后达到对频率的跟踪，广泛应用于雷达，卫星导航等领域对多普勒频率的跟踪。(Locked loop, also known as automatic frequency control (AFC) loop, the use of feedback loop to adjust the input frequency changes, and finally achieve frequency tracking is widely used in radar, satellite navigation and other fields on the Doppler frequency tracking.)

求解函数的各阶范数,如2范数，无穷范数等常用范数(For each order norm, such as the 2 norm, infinite norm etc.)

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!