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

    主要介绍了一种典型的信噪比估计算法,并对信噪比的自相关矩阵奇异值分解估计法进行了研究。

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  • By means of the damp least square method and singular value decomposition method, the misalignment of optical system could be calculated.

    采用阻尼最小二乘法与奇异值分解的方法来求解失调量。

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  • The discrete model of the thermal dynamics process of precision machine was used to establish a new method called singular value decomposition algorithm for identifying these characteristics.

    在精密机械热动态过程的离散化模型基础上,提出一种识别精密机械热动态特性参数的新方法——奇异值分解算法。

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  • 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.

    提出了基于小波包变换和改进奇异值分解的高分辨雷达目标一维距离像特征提取方法。

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

    利用奇异值分解技术确定了定量度量模态可控程度的方法。

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  • In addition, a method based on singular value decomposition (SVD) was proceed to deal with the obtained result for dropping influence of noise.

    为降低噪声的影响,采用一个基于奇异值分解(SVD)的方法对识别的结构进行处理。

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  • 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.

    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。

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  • A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.

    提出了一种基于奇异值分解和数据融合的脸像鉴别方法。

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  • An improved SVD method was introduced by combining empirical orthogonal function (EOF) with singular value decomposition (SVD).

    将奇异值分解同自然正交分解相结合,提出一种改进的正交奇异值分解方法。

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  • The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.

    介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。

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  • The Singular Value Decomposition (SVD) method for the equilibrium matrix is developed and a physical explanation is given.

    引入了平衡矩阵的奇异值分解(SVD)方法并解释了其力学含义。

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  • The singular value decomposition least squares(SVDLS)method was improved for the various dynamic spectrum analysis.

    本文改进了处理动态光谱的奇异值分解最小二乘法(SVDLS)。

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  • A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.

    提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。

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  • Singular Value Decomposition (SVD) is a dimension reduction method, and Symbolic data Analysis (SDA) is a new analytical approach to processing mass data.

    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。

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  • Concerning the intellectual property rights of video on Internet, a new digital video watermarking method based on Multi-Dimensional Scaling (MDS) and Singular Value Decomposition (SVD) was proposed.

    针对于网络中的视频资源的知识产权问题,提出一种基于多维标度(MDS)和奇异值分解(SVD)的视频水印算法。

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  • Then, a method is presented based on the singular value decomposition to compute the minimal norm solution.

    然后用奇异值分解给出了求解最小范数解的一种方法。

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  • The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...

    然后对人脸图像做奇异值分解和离散傅立叶变换,并分别提取最佳鉴别变换特征,用最近邻方法进行分类。

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  • The first class of regular method is named stationary method which include two methods, truncated singular value decomposition (TSVD) method and truncated total least squares (TTLS) method.

    第一类方法称为静态方法,主要包括截断奇异值分解(TSVD)方法和截断完全最小二乘(TTLS)方法。

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  • The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.

    采用矩阵的奇异值分解原理,对曲面最佳适配的灵敏度矩阵进行分解,得到不确定度参数与测点随机误差的关系表达式。

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  • Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.

    同时为了进一步降低存局部潜在语义分类的存储空间的开销,采用半离散分解方法替代奇异值分解方法。

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  • Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.

    同时为了进一步降低存局部潜在语义分类的存储空间的开销,采用半离散分解方法替代奇异值分解方法。

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