lianlu

30~50MHz的matlab设计程序，给出了响应曲线并给出了滤波实例(30 ~ 50MHz of matlab design procedures are given response curve and gives examples of the filtering)

说明：  在神经网络中，用四阶统计量的方法对图像进行特征提取(In the neural network, using fourth-order statistics of the image feature extraction method)

按照粒子群算法以及最近邻法则对全体样品进行分类(In accordance with Particle Swarm Optimization method to classify the samples of the whole)

Bairstow案例，主要是以matlab軟件來運算標準題型。(Bairstow cases, mainly matlab software to compute the standard questions.)

matlab code for pulse propagation in optical fiber

本仿真将延迟-相加法和CAPON算法做对比，分析了其分辨率的能力强弱(The simulation will be delayed- the sum method and the CAPON algorithm to do comparison, analysis of strengths and weaknesses of its resolution)

BPSK平坦瑞利信道下的最大信噪比合并仿真的matlab程序，希望大家下载(BPSK Rayleigh flat channel with the greatest signal-to-noise ratio of Matlab simulation procedures in the hope that you download)

Kronny penny simulation Quantum physics

Saber-Simulink协同仿真文件 协同仿真 官方自带(Saber-Simulink co-simulation simulation official document collaboration comes)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)