Automatic short utterance speaker recognition using stationary wavelet coefficients of pitch synchronised LP residual
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09895-z
Abstract: Automatic speaker recognition (ASR) is a challenging task when the duration of the test speech is very short i.e., a few seconds. Source features extracted from short speech utterances are shown to be effective for… read more here.
Keywords: stationary wavelet; speaker recognition; speaker; recognition using ... See more keywords
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis
Sign Up to like & getrecommendations! Published in 2017 at "Statistics and Computing"
DOI: 10.1007/s11222-016-9675-9
Abstract: In this article we propose a novel framework for the modelling of non-stationary multivariate lattice processes. Our approach extends the locally stationary wavelet paradigm into the multivariate two-dimensional setting. As such the framework we develop… read more here.
Keywords: multivariate locally; colour; multivariate; locally stationary ... See more keywords
Performance evaluation of bearing degradation based on stationary wavelet decomposition and extra trees regression
Sign Up to like & getrecommendations! Published in 2018 at "World Journal of Engineering"
DOI: 10.1108/wje-12-2017-0403
Abstract: Purpose In rotary machines, the bearing failure is one of the major causes of the breakdown of machinery. The bearing degradation monitoring is a great anxiety for the prevention of bearing failures. This paper aims… read more here.
Keywords: bearing degradation; degradation; evaluation; performance ... See more keywords
Wind Speed Forecasting Using the Stationary Wavelet Transform and Quaternion Adaptive-Gradient Methods
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3111667
Abstract: Accurate wind speed forecasting is a fundamental requirement for advanced and economically viable large-scale wind power integration. The hybridization of the quaternion-valued neural networks and stationary wavelet transform has not been proposed before. In this… read more here.
Keywords: speed; quaternion; wind speed; wavelet transform ... See more keywords
Pedestrian Detection Using Stationary Wavelet Dilated Residual Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3142061
Abstract: Pedestrian detection has become an important subject in applications such as automobile autopilot assistance and pedestrian tracking in surveillance systems. A number of powerful object detectors have been used in pedestrian detection to solve problems… read more here.
Keywords: stationary wavelet; pedestrian detection; wavelet dilated; detection ... See more keywords
Automated Detection of Heart Valve Diseases Using Stationary Wavelet Transform and Attention-Based Hierarchical LSTM Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3270974
Abstract: This article presents a phonocardiogram (PCG)-based heart valve disease (HVD) detection for primary healthcare units. In this work, we propose a stationary wavelet transform (SWT) decomposition, followed by an attention-based hierarchical long short-term memory (HLSTM)… read more here.
Keywords: stationary wavelet; subband; heart valve; detection ... See more keywords
Monitoring Level of Hypnosis Using Stationary Wavelet Transform and Singular Value Decomposition Entropy With Feedforward Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3264797
Abstract: Classifying the patient’s depth of anesthesia (LoH) level into a few distinct states may lead to inappropriate drug administration. To tackle the problem, this paper presents a robust and computationally efficient framework that predicts a… read more here.
Keywords: neural network; stationary wavelet; loh; wavelet transform ... See more keywords
Change Detection from Remotely Sensed Images Based on Stationary Wavelet Transform
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v7i6.pp3395-3401
Abstract: The major issue of concern in change detection process is the accuracy of the algorithm to recover changed and unchanged pixels. The fusion rules presented in the existing methods could not integrate the features accurately… read more here.
Keywords: wavelet; wavelet transform; change detection; stationary wavelet ... See more keywords
EEG artifact removal using sub-space decomposition, nonlinear dynamics, stationary wavelet transform and machine learning algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2022.910368
Abstract: Blind source separation (BSS) methods have received a great deal of attention in electroencephalogram (EEG) artifact elimination as they are routine and standard signal processing tools to remove artifacts and reserve desired neural information. On… read more here.
Keywords: stationary wavelet; eeg artifact; machine; machine learning ... See more keywords
Low Complexity Automatic Stationary Wavelet Transform for Elimination of Eye Blinks from EEG
Sign Up to like & getrecommendations! Published in 2019 at "Brain Sciences"
DOI: 10.3390/brainsci9120352
Abstract: The electroencephalogram signal (EEG) often suffers from various artifacts and noises that have physiological and non-physiological origins. Among these artifacts, eye blink, due to its amplitude is considered to have the most influence on EEG… read more here.
Keywords: wavelet transform; low complexity; stationary wavelet; wavelet ... See more keywords