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对多天线系统进行编码，既有空间分集，又有时间分集(stbc code containing time diversity and space diveisity)

伪随机序列---m序列（function)( pseudo-random sequence--- M sequence )

matalab程序好用便捷，关于宏观经济，有增长，有波动研究。(matalab program easy to use and convenient, on the macro economy, there is growth, there are fluctuations in research.)

这是通过一个实例的指导类教导如何建立matlab中的界面以及其中的设计和变成。(This is an example of the guidance class teaches how to create a matlab interface and in the design and become one.)

用于函数逼近的BP算法程序,matlab源码(function approximation for the BP algorithm procedures, Matlab FOSS)

说明：  SV模型程序 对估计出的参数建模拟合并进行比较(SV model program)

Regularized Linear Discriminant analysis. EEG signal

基于OFDM的ls lmmse lr-lmmse系统的仿真(Based OFDM ls lmmse the lr-lmmse simulation)

variabel statistik rataan variansi dan percobaan dart, percobaan sistem komunikasi dengan menggunakan software matlab

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)