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1·The principle of SVD was introduced.

介绍了奇异值分解法的原理；

2·SVD method ensured the algorithm's robustness.

SVD分解保证了算法的鲁棒性。

3·Parallel Lanczos SVD (Singular Value Decomposition) solver.

并行Lanczos SVD(奇异值分解)计算。

4·The paper brings forward a kind of hybrid SVD-DCT zero-watermark algorithm.

提出了一种结合奇异值分解（SVD）和DCT变换的零水印算法。

5·Singular value decomposition (SVD) has very important applications in image processing.

奇异值分解(SVD)在图像处理中具有极其重要的应用。

6·After tested, both SVD statistical model and bulk formula can get the information of atmosphere.

经验证，SVD统计模式及块体公式均可抓住大气的基本信息。

7·A mixed method based on SVD-QR and deformable template is proposed to extract lipreading feature.

提出了SVD—QR和变形模板相结合的混合特征提取算法。

8·A new method for sinusoidal detection is presented based on the SVD of the observation data matrix.

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。

9·Using the SVD technology, the features of the images were extracted, and the eigenvector was built.

采用SVD技术提取图像特征，构建特征向量和盲隐写分析判决函数。

10·Using image segmentation, a novel watermarking algorithm based on image segmentation and SVD is proposed.

利用图像分割法，提出了基于图像分割和SVD的数字水印算法。