Higher order SVD
Upshaw B., and T. Sinkjaer, "SVD and Higher-Order Statistical Processing of Human Nerve Signals," in Proc. IEEE Eng. Med. Biol.Soc. 18th Ann. Int. Conf, 1996, submitted.Upshaw, B. "SVD and Higher-Order Statistical Processing of Human Nerve Signals," Proc. of Int. Conf. of the ...
13.Multi-Path Time Delay Estimation Based on Parameters Approach Using Fourth-Order Cumulants and SVD基于四阶累积量和奇异值分解的参数型多径时延估计 14.A New Method for Joint Estimation of Frequency and 2-D Arrival Angles of Coherent Signals Based on Fourth-Order Cnmulant基于四阶累积量的相干信号...
一些研究结论, 所以又被冠以其他名字, 譬如: 三方向因子分析(three-mode factor analysis, 3MFA/Tucker3) [34]、 三方向主成分分析(three-mode PCA, 3MPCA) [35]、NN- 方向主成分分析(N-mode PCA) [36]、高阶奇异值 分解(higher-order SVD, HOSVD) [37]、NN-方向奇异值 分解(N-mode SVD) [38]...
A new massively parallel algorithm for singular value decomposition (SVD) has been proposed. To implement this algorithm an analogue neuron-like multilayer architecture with continuous-time learning rules has been developed. Extensive computer simulation experiments have confirmed the validity and high perfo...
Higher Order Spectrum SVD Algorithm of Time Delay Estimation in Colored Noise 色噪声背景下时间延迟估计的高阶谱SVD算法 www.ilib.cn 3. The Technique of Power Electronic Circuit Fault Diagnosis Based on Higher-order Spectrum Analysis and Support Vector Machines 基于高阶谱与支持向量机的电力电子电路故障...
In general we observed that the aforementioned SVD technique gave qualitatively similar results to Woody’s algorithm, with Woody’s algorithm slightly more robust to in-band noise. 9. Methods: test signals The test signals used in Fig. 1 were generated by applying a square FIR bandpass filter...
This paper presents an algorithm for signal subspace separation in the context of multidimensional data. The proposal is an extension of the randomized Singular Value Decomposition (SVD) for higher-order tensors. From a set derived from random sampling, we construct an orthogonal basis associated wit...
Summary This paper deals with the best low multilinear rank approximation of higher-order tensors. Given a tensor, we are looking for another tensor, as close as possible to the given one and with bounded multilinear rank. Higher-order tensors are used in higher-order statistics, signal proces...
For matrices, the solution is conceptually obtained by truncation of the singular value decomposition (SVD); however, this approach does not have a straightforward multilinear counterpart. We discuss higher-order generalizations of the power method and the orthogonal iteration method. 展开 ...