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奇异值分解的C语言程序,可以直接运行,高效简单易于理解-Singular value decomposition of the C language program can be run directly, simple and easy to understand effective
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OFDM系统中基于奇异值分解降秩的MMSE信道估计算法,非常经典-OFDM channel estimation by singular value decomposition.pdf
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基于奇异值分解的数字图像的特征提取
很好的的效果进行提取-Based on singular value decomposition of digital image feature extractionThe effect is very good
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The geometrical attacks are still a problem for
many digital watermarking algorithms at present. In this paper, we propose a watermarking algorithm for color images resistant to geometrical distortions (rotation and scaling). The singular value dec
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To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people
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针对特征空间波束合成器,采用对数据矩阵进行奇异值分解,利用奇异值和奇异值矢量计算最优权矢量,完成波束合成-Feature space beam synthesizer, using the singular value decomposition of the data matrix, singular values and singular value vector to calculate the optimal weight vector, and compl
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an efficient singular value decomposition is designed based on reconfigurable architecture
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是一个传统的奇异值分解来处理单道ICA的问题的程序代码,希望有帮助。-A traditional Singular Value Decomposition to deal with the problem of single-channel ICA program code, and want to help.
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singular value decomposition and the least square algoritmn
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利用主元分析和奇异值分解进行人脸特征提取的方法(并详细阐述其在PQRSQT中的实现过程(包括读取图像文件U计算均值脸U求特征值和特征向量(计算人脸特征参数-实现过程均给出了MATLAB代码-Using principal component analysis and singular value decomposition facial feature extraction method (and detail its in the PQRSQT in the implementation pr
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对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷,提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan—
non熵方法优化重分配尺度谱基函数的时间.带宽积(TBP),克服其时、频分辨率不能同时达到最佳的缺陷,再对重分配尺度谱
进行SVD降噪降低噪声干扰影响,提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析,结果表明该方法的时频聚集性更好,抗噪能力更强,能
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在简单介绍WH-800型离心机基本结构及工作原理的基础上, 介绍了基于重构吸引子轨迹矩阵的奇异值分解技术,并引入自相关函数对现有奇异值分解技术加以改进. 通过对现场实测故障信号的分析,表
明改进的奇异值分解技术具有很好的降噪效果,能在强噪声背景环境下准确提取设备的故障特征信号, 为离心机的故障诊断提供了一种新的思路.-After a brief introduction WH-800 centrifuge basic structure and working principle, base
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对结构响应信号进行连续复Morlet小波变换,根据小波系数的模极大值提取小波脊线,识别结构的瞬时频率;为降低噪音的影响,采用奇异值分解(SVD)方法进行降噪处理,建立了一种基于连续复小波变换识别时变系统
瞬时频率的方法。用一个具有时变刚度的弹簧质量系统的数值算例验证方法的有效性,随后设计了一个时变拉索
结构试验,分别对索施加线性和正弦变化的拉力,同时测试结构的冲击响应,运用提出的方法成功地识别了索的瞬时频率。数值与试验结果表明,提出的方法能有效地识别时变结构的瞬时频率,且识别方法具有一定
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With reference to IEEE papers, a report on maximum channel capacity
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基于截断奇异值分解法(TSVD)的在线相干到达方向(DOA)估计算法-Based on truncated singular value decomposition (TSVD) online coherent direction of arrival (DOA) estimation algorithm
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LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解(SVD: Singular Value Decomposition)运算,自动计算得到一个比原始空间小得多的有效语义空间-LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Valu
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Reconfigurable Adaptive Singular Value
Decomposition Engine Design for
High-Throughput MIMO-OFDM Systems
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Reconfigurable Adaptive Singular Value
Decomposition Engine Design for
High-Throughput MIMO-OFDM Systems
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使用奇异值分解对图像进行去噪处理的一篇英文期刊文章。-Using singular value decomposition for image de-noising processing an English journal article.
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奇异值分解文章,描述分解维数和奇异值阶次选择对分解结果的影响。-Singular Value Decomposition article describes the singular value decomposition dimension and order selection effects on decomposition results.
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