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广义正定矩阵的等价定义及进一步推广 被引量:2
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作者 秦应兵 《大学数学》 2014年第5期62-65,共4页
讨论了三类广义正定矩阵的等价定义,进一步推广正定矩阵得到了一类新的广义正定矩阵,并对其性质进行了研究.
关键词 正定矩阵 广义正定矩阵 qr-分解
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广义坐标下小振动的分析
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作者 张飞昊 姜孟瑞 《山东师范大学学报(自然科学版)》 CAS 2011年第3期45-49,共5页
对广义坐标下的小振动进行了研究,应用QR-分解对小振动的矩阵方程进行分析,将广义特征值问题简化为特征值问题,得到特征值的特性.用矩阵分析的结果及里兹方法得到力学体系稳定条件.将广义坐标矩阵方程与利用振形叠加法得到的运动... 对广义坐标下的小振动进行了研究,应用QR-分解对小振动的矩阵方程进行分析,将广义特征值问题简化为特征值问题,得到特征值的特性.用矩阵分析的结果及里兹方法得到力学体系稳定条件.将广义坐标矩阵方程与利用振形叠加法得到的运动方程进行类比,最终得出结论:体系频率为在广义坐标系中将全部质点选为参考点并进行归一化后所得到刚度矩阵的特征值. 展开更多
关键词 qr-分解 特征值 刚度矩阵
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一类二次特征值反问题及其最佳逼近 被引量:1
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作者 张海蕊 《湖北师范大学学报(自然科学版)》 2019年第3期58-64,共7页
二次特征值反问题在工程技术,特别是结构动力模型修正领域中应用非常广泛。利用矩阵分块、QR-分解以及矩阵求导,讨论构造实矩阵M,C,K,使得二次束Q(λ)=λ^2M+λC+K具有给定特征值和特征向量的特征值反问题。首先求出了解集SE的一般表达... 二次特征值反问题在工程技术,特别是结构动力模型修正领域中应用非常广泛。利用矩阵分块、QR-分解以及矩阵求导,讨论构造实矩阵M,C,K,使得二次束Q(λ)=λ^2M+λC+K具有给定特征值和特征向量的特征值反问题。首先求出了解集SE的一般表达式,进而考虑从解集SE中求给定矩阵[Ma,Ca,Ka]的最佳逼近问题,得到了最佳逼近解。 展开更多
关键词 二次特征值反问题 模型修正 qr-分解 最佳逼近
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基于增量和减量选择规则的天线选择与链路自适应
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作者 杜文龙 黄余 《电子器件》 CAS 北大核心 2021年第4期969-975,共7页
针对不相关MIMO和相关MIMO信道系统,提出了基于增量和减量选择规则的联合天线选择和链路自适应算法。具体实现是首先构建出受系统施加的总吞吐量和功率约束的MIMO系统的联合天线选择和链路自适应最优化问题;然后对于不相关MIMO信道系统... 针对不相关MIMO和相关MIMO信道系统,提出了基于增量和减量选择规则的联合天线选择和链路自适应算法。具体实现是首先构建出受系统施加的总吞吐量和功率约束的MIMO系统的联合天线选择和链路自适应最优化问题;然后对于不相关MIMO信道系统,提出了带链路自适应的增量和减量的天线选择规则,增量选择将所需的天线递归地添加到初始为空的有源天线集合中,减量选择将不需要的天线递归地从初始为满的天线集合中移除,对于相关MIMO信道系统,基于慢变信道协方差信息,提出了一种带链路自适应的增量天线选择规则,从而得到2种情形在总吞吐量和功率约束下的误码率最小化;实验结果表明,提出的算法相比于传统的天线选择算法不仅有更低的误码率,而且对于不同反馈延迟有着较好的鲁棒性。 展开更多
关键词 MIMO信道系统 空间复用 信道矩阵 天线选择 链路自适应 qr-分解 误码率
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Chaotic system and QR factorization based robust digital image watermarking algorithm 被引量:9
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作者 宋伟 侯建军 +1 位作者 李赵红 黄亮 《Journal of Central South University》 SCIE EI CAS 2011年第1期116-124,共9页
In order to protect copyright of digital images,a new robust digital image watermarking algorithm based on chaotic system and QR factorization was proposed.The host images were firstly divided into blocks with same si... In order to protect copyright of digital images,a new robust digital image watermarking algorithm based on chaotic system and QR factorization was proposed.The host images were firstly divided into blocks with same size,then QR factorization was performed on each block.Pseudorandom circular chain(PCC) generated by logistic mapping(LM) was applied to select the embedding blocks for enhancing the security of the scheme.The first column coefficients in Q matrix of chosen blocks were modified to embed watermarks without causing noticeable artifacts.Watermark extraction procedure was performed without the original cover image.The experimental results demonstrate that the watermarked images have good visual quality and this scheme is better than the existing techniques,especially when the image is attacked by cropping,noise pollution and so on.Analysis and discussion on robustness and security issues were also presented. 展开更多
关键词 digital watermarking QR factorization pseudorandom circular chain logistic mapping
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Novel K-best detection algorithms for MIMO system
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作者 向星宇 仲文 《Journal of Southeast University(English Edition)》 EI CAS 2009年第1期1-5,共5页
Aiming at the optimum path excluding characteristics and the full constellation searching characteristics of the K-best detection algorithm, an improved-performance K-best detection algorithm and several reduced-compl... Aiming at the optimum path excluding characteristics and the full constellation searching characteristics of the K-best detection algorithm, an improved-performance K-best detection algorithm and several reduced-complexity K-best detection algorithms are proposed. The improved-performance K-best detection algorithm deploys minimum mean square error (MMSE) filtering of a channel matrix before QR decomposition. This algorithm can decrease the probability of excluding the optimum path and achieve better performance. The reducedcomplexity K-best detection algorithms utilize a sphere decoding method to reduce searching constellation points. Simulation results show that the improved performance K-best detection algorithm obtains a 1 dB performance gain compared to the K- best detection algorithm based on sorted QR decomposition (SQRD). Performance loss occurs when K = 4 in reduced complexity K-best detection algorithms. When K = 8, the reduced complexity K-best detection algorithms require less computational effort compared with traditional K-best detection algorithms and achieve the same performance. 展开更多
关键词 sorted QR decomposition K-best sphere decoding maximum-likelihood detection minimum mean square error
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Rice condition numbers of QR and Cholesky factorizations
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作者 李新秀 聂小兵 《Journal of Southeast University(English Edition)》 EI CAS 2004年第1期130-134,共5页
A condition number is an amplification coefficient due to errors in computing. Thus the theory of condition numbers plays an important role in error analysis. In this paper, following the approach of Rice, condition n... A condition number is an amplification coefficient due to errors in computing. Thus the theory of condition numbers plays an important role in error analysis. In this paper, following the approach of Rice, condition numbers are defined for factors of some matrix factorizations such as the Cholesky factorization of a symmetric positive definite matrix and QR factorization of a general matrix. The condition numbers are derived by a technique of analytic expansion of the factor dependent on one parameter and matrix-vector equation. Condition numbers of the Cholesky and QR factors are different from the ones previously introduced by other authors, but similar to Chang's results. In Cholesky factorization, corresponding with the condition number of the factor matrix L , K _L is a low bound of Stewart's condition number K . 展开更多
关键词 Rice condition number Cholesky factorization QR decomposition
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INVERSE QR ITERATIVE METHOD FOR SUBSPACE TRACKING
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作者 Wang Yajun Ouyang Shan 《Journal of Electronics(China)》 2009年第2期270-273,共4页
The Bi-LS method based on QR decomposition provides a convenient framework for de-veloping efficient subspace tracking algorithms.To overcome the shortcoming of the backsubstitution step and improve the parallel archi... The Bi-LS method based on QR decomposition provides a convenient framework for de-veloping efficient subspace tracking algorithms.To overcome the shortcoming of the backsubstitution step and improve the parallel architecture of the Bi-LS algorithms,a Bi-LS subspace tracking algorithm based on Inverse QR(IQR) decomposition is developed.The proposed IQR iterative algorithm for subspace tracking is well suited for the parallel implementation in the systolic array.Simulation results are presented to illustrate the effectiveness of the proposed IQR subspace tracking algorithm. 展开更多
关键词 Subspace tracking Inverse QR(IQR) decomposition Bi-LS Adaptive algorithm
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