Multi-Scale Principal Component Analysis for data reconstruction of the faulty sensor is discussed.
讨论了基于多尺度主元分析的故障传感器数据重构问题。
The behaviors of vector wave in complex media, on the other hand, require to record, process, and interpret data with multi component technology.
另一方面,波场的空间性要求用多分量的方法进行观测、记录、处理和解释,这样才能够完整地描述复杂介质中的波动行为。
However, some problems exist in the sampling, processing and interpretation of multi component seismic data, especially for petroleum exploration in the land.
然而在陆上油气勘探中,在多分量数据采集、处理方法和解释方面还存在一些问题。
Principle component analysis is based on multi-statistics method, and turning into an important way to proceed data for production monitoring and quality control.
主成分分析属多元统计方法,正逐步成为控制领域中一种重要的数据处理方法,用于生产监测和质量控制。
However, wave field separation is one of the important steps for processing the multi-component seismic data.
波场分离是多波多分量地震资料处理的重要环节之一。
Its electromagnetic induction couple for energy transmission and ray-electricity couple for signal transmission were still used in multi-component transducer data acquisition system.
然后介绍了单维力传感器的数据传输系统,其中的电感耦合传输能量、光电耦合传输信号是多维力传感器信号传输的基础。
The emphasis of this paper was laid on the design of the data acquisition system of multi-component wheel force transducer.
本文重点设计了一套多维力传感器数据采集的硬件系统。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
针对地震反演预处理的地震降噪问题,本文结合小波分析设计了一种过零点滤波器,对多分量地震资料进行了面波剔除研究。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
针对地震反演预处理的地震降噪问题,本文结合小波分析设计了一种过零点滤波器,对多分量地震资料进行了面波剔除研究。
应用推荐