shuxueshiyandrop_process

直接扩频捕获Xfast算法仿真(包含可调SNR信息码产生)(dsss acquisition(XFAST))

Reading RINEX file and exctracting Ephimeris

本程序为《自适应信号处理》（王永德等译，机械工业出版社）书中107图SER算法和LMS算法比较的源程序，仿真效果和书上一致(This program is " adaptive signal processing" (s Acoustic other translation, Mechanical Industry Press) book 107 SER algorithm and LMS algorithm for graph comparison of the source, the simulation results and the same book)

这是计算LEO/MEO星座中的卫星轨迹的程序(LEO/MEO satellite constellation track procedures)

transformer to wimp porgram for power system analysis

Mathematica教程，介绍如何启动Mathematica软件，如何输入并运行命令(Mathematica5 study)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

MATLAB从光谱仪生成的excel读取数据，并将根据读取的数据绘图，然后进行多峰值检测，将检测的峰值生成excel(peak searching)

Bayes model averaging with selection of regressors - This program can be utilized for Bayesian Variable Selection using Gibbs Sampler(Bayes model averaging with selection of regressors- This program can be utilized for Bayesian Variable Selection using Gibbs Sampler)

任意模式的机载双基地合成孔径雷达方位非线性变标成像算法；适合于对SAR有一定基础的研究者；包含距离走动校正，方位非线性变标；变标因子推导等(Any mode airborne bistatic synthetic aperture radar imaging algorithm standard nonlinear variable orientation suitable for SAR have some basic researchers included walking distance correction, azimuth nonlinear variable standard variable scaling factor derived etc.)