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Genetic Programming using MAtlab

LTE下行链路发射分集仿真，仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码，每次处理1000万比特用户数据、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置，天线相关性为中等。(LTE downlink transmit diversity simulation configuration: 16QAM modulation, 1/3 Turbo coding rate, 10MHz bandwidth of each sub-frame a PDCCH symbol, single code word, 8 iterations Turbo decoding, each processing 10 million bits of user data, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, a PDSCH transmitting terminal transmit diversity precoding. Channel model is LTE-MIMO channel additional AWGN. Dual antenna transceivers at both ends of the configuration, the antenna correlation is moderate.)

This program is an M-file of Chaotic version of Particle Swarm Optimization method.

matlab被动悬架的仿真模型基于Simulink软件(matlab passive suspension simulation model based on Simulink software)

读取硬盘SMART值,很详细的源代码。很有参考学习的价值(read hard smart value)

模糊熵，　为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据 分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。(A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (MPE), Laplacian score (LS), and support vector machines (SVMs) is proposed in this paper. Permutation entropy (PE) was recently proposed and defined to measure the randomicity and detect dynamical changes of time series.)

基于matlab车辆文字识别处理方法(Matlab vehicles based on text recognition processing method)

psk modulation for cma blinder equeliser

在matlab环境下的一个朴素贝叶斯分类器，大家可以参考下(Matlab environment a Naive Bayes classifier, we can refer to the following)

说明：  高斯过程回归算法，根据已知数据预测未知数据，假设协方差函数，利用核函数计算(Gaussian process regression algorithm, predict unknown data according to known data, assume covariance function, and use kernel function to calculate)