hpf

随机信号简介和应用卡尔曼滤波器。罗伯特 布朗 和 帕特里克 黄 经典卡尔曼滤波器教材。包括matlab练习和答案。扫描版。(Robert Brown and Patrick Huang Jingdian Kalman filter materials. Including matlab exercises and answers. Scaned version.)

一个关于matlab的教程，对于初学者来说是非常有用的(A tutorial on matlab for beginners is very useful)

参考Matlab提供的模块建立简化的三相锁相环的仿真模型，只保留必要的步骤，如abc-dqz只计算Vq，去除频率反馈模块和自动参数调整模块等。 建立单相锁相环的计算模型  简化单相锁相环的系统结构，保留必要的PI控制器等模块  验证并讨论输入信号频率在45-65Hz变化时设计的锁相环的动静态性能  仿真并分析三相输入信号包含谐波、不平衡和直流偏移时锁相环的锁相结果(Reference Matlab provides three-phase PLL module to establish a simplified simulation model, retaining only the necessary steps, such as abc-dqz counting only Vq, remove frequency feedback module and automatic parameter adjustment module.  simulation and analysis of the three-phase input signal contains harmonics, unbalance and DC offset PLL phase-locked Results)

用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。(It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.)

通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)

Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 “No Free Lunch” Theorem(Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 " No Free Lunch" Theorem)

说明：  不使用matlab神经网络工具箱用bp网络实现函数逼近。利于了解bp网络的原理(Do not use matlab neural network toolbox with bp networks function approximation. Help to understand the principle of the network bp)

说明：  Matlab遺傳演算法工具箱原始碼及應用(Matlab genetic algorithm toolbox and application source code)

ga for peaks function

When a UE moves away the serving eNodeB (eNB) and becomes closer to the neighbouring eNB (see fig.1), the strength of desired received signal decreases and the ICI increases.The impact of ICI in LTE downlink can be analysed according to the received signal to interference and noise ratio (SINR) of UEm on resource block n (RBn) as