JADE-delay-and-angle-joint

此代码为纯滞后系统的数字SMITH预估控制的MATLAB仿真代码(This code is a pure delay system of digital SMITH predictive control simulation of MATLAB code)

利用matlab画五彩K线图，可以定义上涨和下跌K线的颜色(Using matlab draw multicolored K line graph, you can define up and down K-line color)

M-aray Phase Shift Key Modulation

考虑次级声反馈的自适应滤波器算法，基本原理是最小均方误差(Filter X Least Mean Square adaptive filter)

关于MIMO信道的忙估计，很好的一个实例程序，希望能有所帮助(On busy MIMO channel estimation, a very good example of the procedure, hoping to help)

有限差分法解静电场的边值问题的算法实现. 非常好的FDTD论文和软件算法代码(Finite differance time domain method field solver introduction)

matlab 2048 游戏！转载与matlabsky论坛！！(matlab 2048 game)

谢汉龙matlab书籍第八章基本入门功能的实现过程，常用matlab的基础程序(Xie Hanlong implementation of Chapter VIII of basic introductory books matlab function, commonly matlab foundation program)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

a fuzzy implement with matlab