GA1

上行MC_CDMA_TDD系统中的新型预补偿技术(New uplink MC_CDMA_TDD system pre-compensation)

factor of 32, with acceptable quality.What are the principles behind compression?A common characteristic of most images is that the neighboring pixels are correlated and therefore contain redundant information. The foremost task then is to find less correlated representation of the image. Two fundamental components of compression are redundancy and irrelevancy reduction. Redundancy

ECG Signal Analysis Using Wavelet Transforms using MatLab software and LabView for interfacing.

这有点较大的项目，允许MATLAB文件和类（包括包）使用1 doxygen的过滤器命名为创建全面的文档MTOC + +。 此外，工具/类名为MatlabDocMaker允许在MATLAB中创建的文档。 到目前为止，只有为Unix。(This is a little larger items, allowing MATLAB files and classes ( including1) using Doxygen filter named create comprehensive document MTOC++. In addition, tools/class named MatlabDocMaker allows created in MATLAB document. So far, only for Unix.)

一个学习Naive Bayes的matlab代码，学习到的参数只与样本的个数有关，与实际的样本值没有直接关系。 为了代码的可读性、容易学些，算法的实现没有采用MATLAB向量化 操作。(A Naive Bayes learning matlab code, only to learn the parameters related to the number of samples, and the actual sample values ​ ​ are not directly related. For code readability, easy to learn something, no algorithm using MATLAB vectorized operations.)

文件中有两个97提升小波程序，可以直接在matlab中运行，已经试过(File has two 97 lifting wavelet procedures can be directly run in matlab, have tried)

小型矩量法解决天线散射问题，在matlab环境下运行。(Small antenna scattering method of moments to solve the problem, run the matlab environment.)

constrained linear least square implementation

the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain

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.)