rgb2lab

基于16QAM调制的空时编码，通过仿真可以实现空间分集增益(16QAM modulation-based space-time coding, spatial diversity gain can be achieved through simulation)

Matlab编写的 使图像缩小的程序 有两种不同方法的缩小进行 本人尝试过 可以修改为C++代码 (Matlab prepared to make the image reduction program, there are two different methods were narrowed I tried to modify the code to C++)

matlab C++混编程序，用C++处理数据，由matlab显示画图(matlab C++ mixed program, with C++ process the data displayed by the matlab drawing)

Generation of code sequences and related utilities

常用二极管的七种用法，里面有详细的介绍和分析。(Seven kinds of usage about diode，there is a detailed introduction and analysis.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

经典的压缩感知cs重构算法之一分级omp(The classic one compressed sensing reconstruction algorithm cs cs omp)

Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf

关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。(On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples.)

lvl method image segmentation