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Hilbert spectral analysis for PQ disturbances detection in Sustainable Energy Systems
2025 International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM)As the integration of renewable energy sources into power grids increases, ensuring power quality in sustainable energy systems has become a critical challenge.
Uriti Ravi +6 more
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Maximum Entropy Spectral Analysis of Hilbert Transformed Complex Data [PDF]
, 1989 This paper evaluates Hilbert transformed complex data using complex maximum entropy spectral estimation to determine if a reduction in pole complexity results. Since the computational load of the maximum entropy method (MEM) scales as a function of predictor length, a shorter length predictor may be used in some cases when presented with complex data ...
Michael R. Sturgill, Louis E. Roemer
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Interactive analysis of multi-spectral images using a Hilbert curve
Proceedings of 12th International Conference on Pattern Recognition, 2002There have been many new developments in interactive analysis for multi-spectral images in the research of remote sensing. In general, the methods used are linear transformations such as principal component analysis. In this paper, the authors present a new interactive method for classifying multi-spectral images using a Hilbert curve which is a one-to-
Michiharu Niimi +2 more
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Spectral Analysis of Familiar Human Voice Based On Hilbert-Huang Transform
2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM), 2018Spectral analysis of human voice signals is important to reveal hidden information when is not available in the time-domain. Extracting spectral information from those voice signals will enhance our knowledge in understanding the nature and characteristic of the voice.
Mauridhi Hery Purnomo +3 more
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Analysis of spectrally resolved white light interferometry by Hilbert transform method
SPIE Proceedings, 2006Scanning White Light Interferometry (SWLI) is a tool for measuring discontinuous surface profile. A short coherence length white light source is used in the interferometer so that the fringes are localized in the vicinity of zero Optical Path Difference (OPD).
Mahendra P. Kothiyal, Sanjit K. Debnath
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Stochastic Processes and Spectral Analysis for Hilbert $$C^*$$ C ∗ -Module-Valued Maps [PDF]
Bulletin of the Malaysian Mathematical Sciences Society, 2015 In this paper, we consider Hilbert \(C^*\)-module-valued random variables and discuss about their expectations, covariance operators and correlation operators by introducing some adjointable operators on Hilbert \(C^*\)-modules. We also study Hilbert \(C^*\)-module-valued stochastic processes instead of Hilbert space-valued processes as a ...
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A Novel spectral Analysis Method of Atrial Fibrillation Signal Based on Hilbert-Huang Transform
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Time/frequency analysis has been extensively used in biomedical signal processing. By extracting some essential features from the electro-physiological signals, these methods are able to determine the clinical pathology mechanisms of some diseases. Fourier spectrum analysis provides a common framework for examining the distribution of global energy in ...
Yuquan Chen +3 more
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Baseline correction of near-fault ground motion records based on the hilbert spectral analysis
Soil Dynamics and Earthquake Engineering, 2022Xiao-yu Chen, Dongsheng Wang
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Empirical Assay of the Use of the Hilbert-Huang Transform for the Spectral Analysis of Storm Waves
Volume 2: Structures, Safety and Reliability, 2008The Hilbert-Huang Transform (HHT) was proposed by Huang et al. [2] as a method for the analysis of non-linear, non-stationary time series. This procedure requires the decomposition of the signal into intrinsic mode functions using a method called empirical mode decomposition.
Joaquín Ortega, George H. Smith
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An interactive analysis of large scale multi-spectral images using a Hilbert curve
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration.
S. Kamata +2 more
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