Modulation classification by Hilbert-Huang Transform
2013 21st Signal Processing and Communications Applications Conference (SIU), 2013 The problem of identifying the modulation type of the signals at the receiver, is very helpful intermediate step for spectrum sensing which the cognitive radio systems are commonly used today. In this study, Hilbert-Huang Transform is proposed for identifying the modulation type of digitally modulated signals in the noisy environments.
Yesim Hekim Tanc, Aydin Akan
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Mode Decomposition and the Hilbert-Huang Transform
2019 Russian Open Conference on Radio Wave Propagation (RWP), 2019 The paper presents a relatively new method for the analysis of nonstationary and nonlinear processes called Hilbert-Huang transform. The Hilbert-Huang transform consists of two stages: Empirical mode decomposition and Hilbert Spectral Analysis. The empirical mode decomposition is a signal analysis method that separates multi-component signals into ...
V. D. Ompokov, V. V. Boronoev
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Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 The study of cetacean vocalizations is usually based on spectrogram analysis. The feature extraction is obtained from 2D methods like the edge detection algorithm.
Olivier Adam
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Wheeze detection in the respiratory sounds using Hilbert-Huang transform
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 Wheezes in the respiratory sounds are indicators for a number of diseases. Automatic detection of these signals — which have musical character and one or more dominant frequencies-is very important. In this study investigation of wheeze detection in the respiratory sounds using Hilbert-Huang transform is studied.
Omer Sayli, Sayli, Omer
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LOW-COST DEVICE FOR FAULT DIAGNOSIS IN BEARINGS BASED ON THE HILBERT-HUANG TRANSFORM [PDF]
, 2023 In order to monitor the condition of machinery complex industrial environments, high-cost equipment is required for signal acquisition and processing.
PABLO CIFUENTES FIALLOS +5 more
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Representation Learning for EEG-Based Biometrics Using Hilbert–Huang Transform
Computers, 2022 A promising approach to overcome the various shortcomings of password systems is the use of biometric authentication, in particular the use of electroencephalogram (EEG) data.
Mikhail Svetlakov +4 more
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Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform [PDF]
Sensors, 2016 Haibo Hu, Jin-Yi Liu
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Corrosion and Materials Degradation, 2023 In this paper, time/frequency domain data processing was proposed to analyse the EN signal recorded during stress corrosion cracking on precipitation-hardening martensitic stainless steel in a chloride environment.
Luigi Calabrese +2 more
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Power-Line Partial Discharge Recognition with Hilbert–Huang Transform Features
Energies, 2022 Partial discharge (PD) has caused considerable challenges to the safety and stability of high voltage equipment. Therefore, highly accurate and effective PD detection has become the focus of research.
Yulu Wang, Hsiao-dong Chiang, Na Dong
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Analyse des signaux multicomposante à modulation de fréquence linéaire par la transformation de Teager-Huang-Hough [PDF]
, 2014 A novel detection approach of linear FM (LFM) signals, with single or multiple components, in the time-frequency plane of Teager-Huang (TH) transform is presented.
BOUDRAA, Abdelouahab +4 more
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