| 1. | Face recognition approach based on singular vector and singular value
基于奇异向量和奇异值的人脸识别新方法 |
| 2. | Singular value and singular vector based blind adaptive multiuser detector
基于奇异值和奇异向量的盲自适应多用户检测方法 |
| 3. | General total least squares problem ; svd decomposition ; singular values ; singular vectors
广义完全最小二乘问题奇异值分解奇异值奇异向量 |
| 4. | An important application of linear singular vectors is to make sensitivity study of the numerical model
线性奇异向量的一个主要应用是作数值模式初始误差的敏感性分析。 |
| 5. | Presently there are three methods to make sensitivity analysis : numerical simulation , adjoint and linear singular vectors ( lsvs )
目前对数值模式进行敏感性分析的方法主要有三种：数值模拟方法、伴随方法和线性奇异向量方法。 |
| 6. | Linear singular vector represents the direction that initial errors increase fastest during the validity period of tlm . lsvs can be used to construct initial errors in an ensemble prediction system
对于某一给定的范数，在所考虑的时间段内，线性奇异向量代表初始误差线性增长最快的方向。 |
| 7. | But adjoint method and lsv method are based on linear theory and can only describe the development of small perturbations during the validity period of tangent linear model
在计算得到切线性模式的奇异向量后，可以用这些奇异向量构造初始误差。线性奇异向量方法也是一种线性理论，只能描述切线性模式有效时段内小扰动的发展。 |
