摘要
MATLAB具有强大的数学计算及数据处理分析功能,而沉降观测中涉及大量的数据需加以分析处理,应用MATLAB可将数据形象的成曲线图。此外观测成果除了受系统误差影响外,还应考虑到外界观测条件等随机因素的变化产生的影响,这类影响通常以随机噪声的形式表现在整个监测过程中,但其可通过小波变换进行消噪,使观测数据消除粗差,更客观的反映建筑物沉降。
Settlement observation involves dealing with lots of data. With powerful data processing function, MATLAB transforms the data into visualized figures and makes our work easier and more efficient. Besides, settlement observation results are affected not only by systemic error, but also by the random factors including observation conditions and so on. In observation, these influencing factors appear in the form of random noise, and we use wavelet transformation to eliminate gross error and reflect building subsidence accurately.
出处
《价值工程》
2012年第12期164-165,共2页
Value Engineering
关键词
MATLAB成图
小波变换
沉降观测
消噪
MATLAB figuring
wavelet transformation
subsidence observation
denoising process