数据重构

在实际工业过程中，PCA常常被用于数据重构。

In the real industrial process , PCA is often used for data reconstruction .

基于GPU的多分辨率体数据重构和渲染

GPU Based Multi-resolution Volume Data Reconstruction and Rendering

CT轮廓线数据重构曲面的方法

A Method of Surface Reconstruction with CT Cross-sectional Data

LED彩色屏数字视频信号的数据重构与存贮技术

Data Re structure & Memory Technology of Digital Video Signal of LED Color Display

基于PCA的水下机器人故障诊断与数据重构

Fault diagnosis and data restoration based on PCA for underwater vehicle

基于采样数据重构的信号DOA估计算法

An Algorithm for Estimating DOA of Signals Based on Sampling Data Reconstitution

利用Voronoi图改进离散数据重构曲面算法

An Improved Surface Reconstruction Algorithm from Scattered Points-Based Voronoi Diagrams

由于各种各种测量因素和造型手段的局限性，基于测量数据重构出来的B样条曲面模型的表面品质有时并不能满足用户的要求，因此经常需要通过光顺来改善重构曲面的品质。

Because of some random factors in data acquisition process or limitation on modeling methods , the quality of the constructed B-spline surfaces may not always satisfy the users ' requirements .

根据测量对象的曲面变分进行自适应采样，获得测量点云，并根据自适应采样数据重构CAD模型。

Depending on the surface variation , the adaptive sampling point cloud of object is acquired ; the CAD model is reconstructed by the sampling point cloud .

SLM显微立体视觉量化和三维数据重构研究

Study on the Quantification of Micro Stereovision with a SLM and 3D Data Reconstruction

该方法通过航迹跟踪、剖面推算、目标截取和数据重构四个主要处理过程，实现ADS目标信息到雷达目标信息的异步转换。

Four steps are demonstrated , including : target tracking , profile estimating , target capturing and data reconstructing , to realize asynchronous conversion of target information .

实验分析比较了PCAW算法与其它两种压缩算法在数据重构误差、数据压缩比、压缩耗时和解压耗时方面的表现。

The reconstruction error , data compression ratio , consumed compression time and consumed decompression time of the algorithm are analyzed and compared with two other compression algorithms through experiments .

基于数据重构MNM的交织型OFDMA上行链路频偏盲估计

Modified MNM based blind estimation of frequency offset for interleaved OFDMA uplink

利用接收机判决后的OFDM信息数据重构FFT以前的OFDM信号，提出了一种OFDM系统中频偏估计的新方法，进而得到一种载波频率跟踪方法。

Based on the data after decision in OFDM receiver , those data before FFT can be reconstructed . Using them , a new frequency offset estimation method is developed .

由于主成分分析（PCA）方法是一种线性算法，基于PCA的故障检测方法若直接运用于非线性系统的传感器故障检测和重构，会导致明显的故障误报和数据重构错误。

Fault detection method based on principle component analysis ( PCA ) which uses linear arithmetic is not appropriate for nonlinear systems because of inaccuracies in the fault mismatch detection and data rebuilding .

利用S-G滤波进行MODIS-EVI时间序列数据重构

Reconstruction of MODIS-EVI Time-Series Data with S-G Filter

同时，对数据重构的本质进行分析，研究了面向ASP平台数据重构的关键操作步骤，以及数据重构前后平台数据库中数据的结构和非结构差异。

Thirdly , after the analyzing of original nature in data reconstruction , the critical steps of data reconstruction on the ASP platform and the platform database structure and non-structural differences before and after data reconstruction were researched .

利用Elman神经网络预测器进行的数据重构，由于融合了各传感器的空间信息获得很好的重构效果。

The Elman artificial neural network predictor is adopted to reconstruct fault data . Because the space redundancy information between sensors is fused , better reconstruction result is achieved .

阐述了从非均匀数据重构虚拟均匀数据的角度来解决变速直线运动SAR成像的原理，从这一思想出发，研究了弹载平台变速直线运动时基于内插阵列变换SAR成像方法。

The principle of restructure method from non-uniform sampling data to virtual uniform sampling data to resolve the SAR imaging with variable motion is expounded . And proceeding from this idea , missile-borne SAR imaging for variable motion based on interpolated array transformation is studied .

本文提出了一种新的判定人体步态对称性的方法，通过PCA的步态数据重构方法不仅证明了人体步态数据的对称，同时也说明了它也是一种好的智能假肢步态规划的方法。

This paper presents a new proof of the method of symmetry of the human gait . PCA gait data reconstruction method not only proves that the symmetry of human gait data , but also shows it is a good IP gait planning approach .

研究结果用于论文以后的试验、视觉模型的参数标定和数据重构等研究内容。第二部分研究了SLM立体视觉的建模型问题，视觉模型描述了二维图像空间与三维物空间的映射关系。

Results will server the need of test , parameter calibration and data reconstruction . Second , the modeling problem of micro stereovision with SLM is discussed , and a vision model that describes the projection between 2D image space and 3D object space is derived .

基于此，本文提出一种基于PPCA的遗失数据重构方法。通过使样本数据点与其在PPCA模型上的投影点之问的距离最小，该方法能够有效地进行数据重构。

Due to these , the paper proposes a method to estimate missing data based on PPCA , in which a minimal distance between sample data and its projection on the PPCA model are employed to reconstruct the missing data .

汽车车模覆盖件逆向工程中数据重构和优化

Data Reconstruction and Optimization in Reverse Engineering of a Car Model

基于隐函数实现点云数据重构方法的研究

A Study of Reconstruction of Sampling Points Based on Implicit Function

激光扫描数据重构曲面的优化技术研究

Improved Method for Surface Reconstruction of Laser - Scanned Data

基于钻孔数据重构地层周围表面模型算法

An Algorithm of Reconstruct Strata Surface Based on Borehole Data

点云数据重构三维网格形状的新算法

New Algorithm of Three Mesh Surface Reconstruction from Data Cloud

为提高传感器数据重构精度，本文提出两种数据重构方法。

In this paper we propose two methods for improving sensors'data reconstruction .

主元分析及数据重构在过程监控中的应用

Principal Component Analysis and Data Reconstruction for Process Monitoring

基于近似距离函数的三维体数据重构

3D volume data reconstruction based on approximate distance functions