Evaluation of Novel Entropy-Based Complex Wavelet Sub-bands Measures of PPG in an Emotion Recognition System
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-020-00526-7
Abstract: Purpose Nowadays, the increasing demand for human–computer interface applications shows the social need to provide an accurate, intelligent emotion recognition system. Computer-aided emotion recognition using physiological signals remains a challenging task in “affective computing”. In… read more here.
Keywords: emotion recognition; system; complex wavelet; entropy ... See more keywords
Motor Imagery EEG Spectral-Spatial Feature Optimization Using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Irbm"
DOI: 10.1016/j.irbm.2021.01.002
Abstract: Abstract Background Frequency band optimization improves the performance of common spatial pattern (CSP) in motor imagery (MI) tasks classification because MI-related electroencephalograms (EEGs) are highly frequency specific. Many variants of CSP algorithm divided the EEG… read more here.
Keywords: motor imagery; tree complex; feature; dual tree ... See more keywords
A dual-tree complex wavelet enhanced convolutional LSTM neural network for structural health monitoring of automotive suspension
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.01.038
Abstract: Abstract To increase structural reliability of complex mechanical components under harsh working conditions, a vibration-based structural health monitoring (SHM) method is a promising tool. However, due to non-linear dynamic characteristics and interfering contents in the… read more here.
Keywords: wavelet enhanced; tree complex; health monitoring; structural health ... See more keywords
A Finite Mixture of Weibull-Based Statistical Model for Texture Retrieval in the Complex Wavelet Domain
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939466
Abstract: This paper presents a new statistical model for texture retrieval in the complex wavelet domain. For this purpose, a finite mixture of Weibull distributions (MoWbl) is proposed to characterize the statistical distribution of magnitudes of… read more here.
Keywords: model; complex wavelet; mixture; texture retrieval ... See more keywords
SAR Despeckling Based on CNN and Bayesian Estimator in Complex Wavelet Domain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185557
Abstract: We propose a hybrid algorithm for despeckling the synthetic aperture radar (SAR) images using the convolutional neural network (CNN) denoising and complex wavelet shrinkage. In particular, we perform the speckle reduction process in the complex… read more here.
Keywords: wavelet; complex wavelet; cnn; wavelet domain ... See more keywords
MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Biomedical Imaging"
DOI: 10.1155/2022/7251674
Abstract: The methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. One group devotes to estimating the complex-valued MRI image. And the other… read more here.
Keywords: complex wavelet; based dual; dual tree; phase ... See more keywords
Power quality disturbances classification using complex wavelet phasor space reconstruction and fully connected feed forward neural network
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v10i6.3207
Abstract: Power quality disturbances (PQD) degrades the quality of power. Detection of these PQDs in real time using smart systems connected to the power grid is a challenge due to the integration of energy generation units… read more here.
Keywords: power; complex wavelet; power quality; classification ... See more keywords
Novel bearing fault diagnosis model integrated with dual-tree complex wavelet transform, permutation entropy and optimized FCM
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2017.18278
Abstract: In order to enhance the capability of feature extraction and fault classification of bearings, this study proposes a feature extraction approach based on dual-tree complex wavelet transform (DTCWT) and permutation entropy (PE), using the fuzzy… read more here.
Keywords: fault; tree complex; complex wavelet; approach ... See more keywords