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Robust structure low-rank representation in latent space [PDF]
, 2019 Subspace clustering algorithms are usually used when processing high-dimensional data, such as in computer vision. This paper presents a robust low-rank representation (LRR) method that incorporates structure constraints and dimensionality reduction for ...
Palade, Vasile +2 more
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Carrier Frequency Offset Estimation in OFDM systems as a Quadratic Eigenvalue Problem [PDF]
Radioengineering, 2017 Carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is a major problem in achieving orthogonality between subcarriers. In this paper, we propose an estimator for CFO in OFDM systems using the subspace method.
A. Eslahi, A. Mahmoudi, H. Kaabi
doaj
Sensors, 2019 This paper presents an efficient framework for estimating the direction-of-arrival (DOA) of wideband sound sources. The proposed framework provides an efficient way to construct a wideband cross-correlation matrix from multiple narrowband cross ...
Bandhit Suksiri, Masahiro Fukumoto
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Xibei Gongye Daxue Xuebao, 2020 The environmental parameters are usually uncertain in complex shallow ocean environment and restrict the performance of the matching model-like method. Therefore, we need a more tolerant detection method for detecting underwater targets in the uncertain ...
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Kron’s method of subspaces [PDF]
Quarterly of Applied Mathematics, 1944 Not ...
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Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors
IEEE Access, 2020 How to deal with data sets in high-dimensional space is the focus of image processing. At present, subspace clustering method is one of the most commonly used methods for processing high-dimensional data sets. Traditional subspace clustering assumes that
Zhongyuan Wang, Jinglei Liu
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Extended Averaged Learning Subspace Method for Hyperspectral Data Classification
Sensors, 2009 Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images.
Yoshifumi Yasuoka +4 more
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Application of Subspace-Based Detection Algorithm to Infrasound Signals in Volcanic Areas
Frontiers in Earth Science, 2021 Infrasonic signals investigation plays a fundamental role for both volcano monitoring purpose and the study of the explosion dynamics. Proper and reliable detection of weak signals is a critical issue in active volcano monitoring.
Mariangela Sciotto, Placido Montalto
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Counting Process Based Dimension Reduction Methods for Censored Outcomes [PDF]
, 2018 We propose a class of dimension reduction methods for right censored survival data using a counting process representation of the failure process. Semiparametric estimating equations are constructed to estimate the dimension reduction subspace for the ...
Sun, Qiang +3 more
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Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery
Sensors, 2023 The similarity between samples is an important factor for spectral reflectance recovery. The current way of selecting samples after dividing dataset does not take subspace merging into account.
Yifan Xiong, Guangyuan Wu, Xiaozhou Li
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