FIR-filter

MIMO OFDM matlab仿真,考虑雨衰 阴影 和多径影响，包含收发两个客户端的链路级通信程序,借鉴了主成分分析算法（PCA），数据模型归一化，模态振动，基于负熵最大的独立分量分析。( MIMO OFDM matlab simulation, Consider shadow rain attenuation and multipath effects Contains two clients receive link-level communications program, It draws on principal component analysis algorithm (PCA), Normalized data model, modal vibration, Based on negative entropy largest independent component analysis.)

说明：  HSMM的matlab实现，可用于状态识别和寿命预测(HSMM with matlab ,which can be used for remaining useful life pridection.)

wsn 轮询覆盖算法 同学做的 还行，需要用的可以来看看(wsn algorithm)

BP神经网络的预测应用，结果表明神经网络有良好的预测精度，对实际生活有指导作用(The prediction of BP neural networkThe results show that neural network have good precision, and to the actual life has a guiding role )

产生m序列的源代码，为5级线性反馈移位寄存器，有兴趣的可以看看(Generate the source code of the m-sequence, five linear feedback shift register, interested can look at)

软件无线电的滤波器设计的相关程序，内带说明(Filter Design Software Radio)

Returns zpk-model with casual parametres on inclinations ЛАХ and № a piece with wc.

基于matlab异步电机控制系统建模与仿真(Modeling and simulation based on Matlab/Simulink )

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

说明：  ARMA模型拟分为（一）（二）两部分发布，第一部分主要包括ARMA模型简介，模拟ARMA数据、拟合ARMA模型,单纯的AR模型或MA模型的定阶。第二部分主要包括ARMA模型的定阶策略、模型选择、残差分析。(ARMA model fitting is divided into two parts: (1) and (2). The first part mainly includes the introduction of ARMA model, ARMA data simulation, ARMA model fitting, AR model or MA model order.The second part mainly includes the fixed-order strategy, model selection and residual analysis of ARMA model.)