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约束最小平方
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  constrained least square
     In this paper, a neural data fusion algorithm based on a linearly constrained least square (LCLS) method is proposed.
     提出了一种基于线性约束最小平方(Linear Constrained Least Square)方法的神经数据融合算法。
短句来源
     The degradation model and the image restoration are introduced by the constrained least square methods including the parametric Wiener filter and the smoothing constrained least squares filter.
     介绍了图像退化模型和约束最小二乘方法 (包括参变维纳滤波方法和平滑约束最小平方滤波方法 )。 参变维纳滤波法和平滑约束最小平方滤波法在图像恢复的过程中分别有对图像锐化和平滑的作用。
短句来源
     Based on Kosko's bidirectional associative memory(BAM) and Kohonen's generalized inverse associative memory(GIAM),we propose a constrained least square bidirectional associative memory(CLSBAM)whose associative matrix(or connection weight matrix)satisfies a famous Lyapunov matrix equation.
     基于KoskO的双向联想存贮(BAM)和Kohonen的广义逆存贮的思想,本文提出了一种约束最小平方双向联想存贮器模型(CLSBAM),其联想存贮阵(或连接阵)满足Lyapunov型方程。
短句来源
     Neural Data Fusion Algorithm and Implementation Based on a Linearly Constrained Least Square Method
     基于线性约束最小平方方法的神经数据融合算法与实现
短句来源
     Constrained least square deconvolution method is employed to acquire the optimum estimation for the real dynamic deflection in the presence of noise.
     采用约束最小平方卷积反演技术获得在最小平方误差意义下对输入的最优估计,为动挠度信号的拾取提供了十分便捷有效的测试手段。
短句来源
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  “约束最小平方”译为未确定词的双语例句
     The curves of H and G are enacted in two groups of different variances,and the variance and variance ratio of the image spectrum (?) restored by constrained least squares restoration (CLS) and maximum likelihood estimation (PML) are calculated in no-noise and with-noise cases in analysis.
     分析中对H和G曲线设定两组方差,分无噪声和有噪声两种情况,计算出约束最小平方滤波法(CLS)和最大似然法(PML)等图像复原算法复原的图像频谱曲线及其方差和方差比,采用计算结果对复原算法进行定量的分析和评价,获得良好的效果。
短句来源
     CONSTRAINED LEAST SQUARES ASSOCIATIVE MEMORY AND ITS PERFORMANCE COMPARISON
     约束最小平方联想存储器及性能比较
短句来源
     Discussing on Image Restoration Technology for Constrained Least Squares Filtering
     图像恢复中有约束最小平方滤波技术研究
短句来源
     Based on Gaussian function supposition,the image spectrum restoration property of the three image restoration algorithms is analyzed,such as the inverse filter,the constrained least squares restoration(CLS) and maximum likelihood estimation(PML).
     基于高斯函数假设的频谱分析方法,对逆滤波法、约束最小平方滤波法和最大似然法等三种图像复原算法的频谱恢复特性进行了实验和分析。
短句来源
  相似匹配句对
     Constrained Least Square Bidirectional Associative Memory
     约束平方双向联想存贮器
短句来源
     CONSTRAINED LEAST SQUARES ASSOCIATIVE MEMORY AND ITS PERFORMANCE COMPARISON
     约束平方联想存储器及性能比较
短句来源
     Constraint least square algorithm
     约束二乘法
短句来源
     The Minimum Weight Spanning Tree with Constraints
     约束支撑树问题
短句来源
     ON BOUNDEDNESS OF LEAST SQUARE SOLUTION
     平方解的有界性问题
短句来源
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  constrained least square
A constrained least square approach to the estimation of the term structure of interest rates
      
We will show that the objective function of a constrained least square problem for estimating the term structure of the interest rates discussed in [4] is in fact convex in the feasible region defined by a set of linear constraints.
      
This means that the algorithm developed in [4], which uses a linear or quadratic approximation to the objective function, generates a globally optimal solution of a constrained least square problem.
      
Convex Structure of the Constrained Least Square Problem for Estimating the Forward Rate Sequence
      
Consequently, the constrained least square approach can generate a smooth and accurate forward rate sequence very fast by standard convex minimization algorithms.
      
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In this paper, the least squares problems with norm constraints, expressed in the form.are studied. In ?, the existence and uniqueness of the solution are discussed. The methodical solution for p = 2 is given in ?, where the eigenvalue and eigenvector calculations are avoided. Finally, the computer algorithms corresponding ? are given in ?.

本文研究了下述形式的具范数约束的最小平方解问题: {‖Ax-b‖=min ‖x‖_p≤ρ_0在§1中论述了问题解的存在唯一性,§2中给出了p=2时的解法,在该解法中避开了求解特征值与特征向量的过程,对应§2的算法给在§3中。

Aiming at the characteristic of bridge dynamic deflection signal, and the requirement for the frequency characteristic of measuring transducer, after reviewing several measuring methods, the authors put forward a convenient and effective method for measurement of bridge dynamic deflection with seismic low frequency vibration transducer. Signal recovery technique is adopted to compensate the output which is distorted because of the frequency characteristic of seismic transducer. Constrained least square deconvolution...

Aiming at the characteristic of bridge dynamic deflection signal, and the requirement for the frequency characteristic of measuring transducer, after reviewing several measuring methods, the authors put forward a convenient and effective method for measurement of bridge dynamic deflection with seismic low frequency vibration transducer. Signal recovery technique is adopted to compensate the output which is distorted because of the frequency characteristic of seismic transducer. Constrained least square deconvolution method is employed to acquire the optimum estimation for the real dynamic deflection in the presence of noise.

针对桥梁动挠度信号的特点及其对测试传感器频率特性的要求,分析动挠度的几种测试方法,从而提出采用地震式低频振动传感器测量桥梁动挠度。利用信号恢复技术,对地震式低频振动传感器国频率特性而畸变的输出作补偿处理,并讨论系统存在零点时的恢复技术,及噪声下恢复处理的不适定性。采用约束最小平方卷积反演技术获得在最小平方误差意义下对输入的最优估计,为动挠度信号的拾取提供了十分便捷有效的测试手段。

Based on Kosko's bidirectional associative memory(BAM) and Kohonen's generalized inverse associative memory(GIAM),we propose a constrained least square bidirectional associative memory(CLSBAM)whose associative matrix(or connection weight matrix)satisfies a famous Lyapunov matrix equation.Unlike BAM,CLSBAM can handle not only dual polar data but also real number,and unlike GIAM,it possesses bidirectional and optimal assocative function under some constraints.Finally,with matrix singular value decomposition(SVD)...

Based on Kosko's bidirectional associative memory(BAM) and Kohonen's generalized inverse associative memory(GIAM),we propose a constrained least square bidirectional associative memory(CLSBAM)whose associative matrix(or connection weight matrix)satisfies a famous Lyapunov matrix equation.Unlike BAM,CLSBAM can handle not only dual polar data but also real number,and unlike GIAM,it possesses bidirectional and optimal assocative function under some constraints.Finally,with matrix singular value decomposition(SVD) theory and computer simulation,the feasibility of CLSBAM is confirmed.

基于KoskO的双向联想存贮(BAM)和Kohonen的广义逆存贮的思想,本文提出了一种约束最小平方双向联想存贮器模型(CLSBAM),其联想存贮阵(或连接阵)满足Lyapunov型方程。与BAM不同,CLSBAM能处理实数类数据;与Kohonen模型亦不同,它不仅是双向联想的,而且在本文的一种约束下联想性能达到最优。通过矩阵奇异值分解(SVD)的分析及所进行的计算机模拟证实了所提模型的可行性。

 
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