KalmanFilteringTheoryandPracticeUsingMATLAB

通用卷积码的编码encoding for ALL RSC(encoding for ALL RSC)

分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.(Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supervised Hebb learning rule to improve the Hebb learning rule.)

关于期权定价的matlab实例运用，还有有关的excel表格(About option pricing instance using matlab and excel spreadsheets)

光伏电池simulink仿真模型，光伏电池IV和PV特性(Simulink simulation model of the photovoltaic cells, photovoltaic cells IV and PV characteristics)

通过matlab模拟仿真光反馈半导体激光器的非线性动态输出特性，主要包括单周期振荡，倍周期振荡，四倍周期振荡和混沌振荡等。(Research program by matlab optical feedback semiconductor laser output characteristics of nonlinear dynamics, there are single-cycle oscillation, the oscillation cycle times, four times the oscillation cycle oscillations and chaos.)

基于matlab的kalman滤波(based on the Kalman filter Matlab )

冈萨雷斯编写的数字图像处理Matlab版，是Matlab和图像处理的最佳组合(A classical digital image processing books, tells the classic algorithm for digital image processing.)

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!

Code program of Esprit offset of OFDM Simulation with matlab

hough transform code for detecting circle