本文以对观测数据矩阵直接进行奇异值分解为基础提出了一种正弦检测的新方法。
A new method for sinusoidal detection is presented based on the SVD of the observation data matrix.
提出了一种基于奇异值分解和数据融合的脸像鉴别方法。
A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.
用基于奇异值分解技术的消噪方法对汽车操纵稳定性试验方法转向轻便性试验数据进行消噪处理。通过仿真数据说明了该方法的有效性。
Based on singular value decomposition technique, the denoising of signals obtained in vehicle handling and stability testing is carried out. The results show the effectiveness of the method.
为了更有效地进行多媒体数据的版权保护，提出了一种在真彩色宿主图像中利用奇异值分解实现的灰度水印嵌入的鲁棒算法。
In order to effectively protect the copyright of multimedia data, a novel digital color image watermarking algorithm based on singular value decomposition was presented in this paper.
奇异值分解(SVD)是一种对数据进行降维处理的方法，符号数据分析(SDA)是一种处理海量数据的全新数据分析思路。
Singular Value Decomposition (SVD) is a dimension reduction method, and Symbolic data Analysis (SDA) is a new analytical approach to processing mass data.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
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