1, The method of the singular value decomposition (SVD) of matrixes reflects the inwardness and essence character of the images, so it has wide application in the image processing.

2, A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD(singular value decomposition) was proposed.

3, Chaos map and singular value decomposition of matrix technology are introduced to improve the watermarking imperceptibility, security and robustness of watermark image.

4, 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.

5, The employment of the singular value decomposition technique eliminates the interior resonance problem which suffered from the electric field integral equation.

6, Singular value decomposition SVD that ( Singular Value Decomposition ) algorithm.

7, Theoretically ,(http:///singular value decomposition.html) canonical truncated singular value decomposition ( TSVD ) is considered a good regularization method in solving ill - posed problems.

8, Numerical method is presented by using singular value decomposition and an example is given.

9, The GGE singular value decomposition and is approximated by the first two principal components.

10, Using the singular value decomposition technique, the method for measuring the modal controllability is determined.

11, The singular value decomposition plays a very important role in matrix theory and numerical linear algebra, especially in the study of generalized inverses of matrices.

12, This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.

13, The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.

14, By decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes, singular value decomposition has very good properties.

15, Then, based on linear model estimation, the target modes are treated as a design matrix of linear model and singular value decomposition is used to decompose the target modes.

16, An inverse problem exists in the process of estimating forces, and singular value decomposition is employed to deal with ill-posed problem for minimizing the estimation error.

17, A digital audio watermarking algorithm based on SVD ( Singular Value Decomposition ) and mean quantization are presented.

18, A image quality evaluation method based on visual masking effect and singular value decomposition is proposed.