h

建立Jakes模型，生成Rayleigh信道。以此为基础，研究不调制，及DSPK等方式的调制下，均衡技术（尤其是迭代均衡）的给误码性能带来的增益。(To build the Jakes model,we can get the Rayleigh channel,on the basis of which we study on the benefit of equilization(Iterative equilization specially) in DSPK modulation.)

光伏发电仿真程序，含有MPPT算法，仿真效率很高!(PV simulation program, with MPPT algorithm, the simulation very efficient!)

QAM仿真 实现星座调制 主要用matlab语言实现的(QAM simulation)

用Goldstein法求解一维函数的极值 (By Goldstein method for solving one-dimensional function of the extreme)

computes and plots a number of asset paths

算术编码的实现 对于初学者来说还是比较好用的 (算术的实现 对于初学者来说还是比较好用的 )

说明：  Dijkstra算法求解非负有向图的最短路径，算法的MATLAB实现。分享推荐。(Dijkstra algorithm to the graph of non-responsibility shortest path algorithm of MATLAB implementation. Sharing recommended.)

基于动脉血压波形的描绘器，ABP波包含许多重要的生理信息，这是通过寻找波峰波谷来分析ABP波(On an automatic delineator for arterial blood pressure waveforms)

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.)

该模糊控制器的特点是针对大延迟或纯滞后系统(加干扰)进行控制，利用matlab自带fuzzy工具箱，采用经典文献中的模糊控制规则，并附原理及效果图以供学习交流。(The fuzzy controller is characterized by delayed or for large time delay system (plus interference) control, using fuzzy toolbox matlab own, using the classical literature of fuzzy control rules, together with the principle and effect diagram for the exchange of learning.)