数据重构
- 网络Data Reconstruction
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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 .
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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
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CT轮廓线数据重构曲面的方法
A Method of Surface Reconstruction with CT Cross-sectional Data
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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
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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
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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
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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
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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 .
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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 .
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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
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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 .
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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 .
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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
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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 .
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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 .
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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
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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
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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
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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
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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
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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
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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 .
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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
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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