Results 1 to 10 of about 6,188 (134)
A Wavelet-Based Framework for Mapping Long Memory in Resting-State fMRI: Age-Related Changes in the Hippocampus From the ADHD-200 Dataset. [PDF]
Hum Brain MappWe propose a new wavelet‐based Bayesian framework to analyze long‐memory properties of resting‐state fMRI signals and their relationship to clinical covariates. Applying this to the ADHD‐200 dataset, we found that in children, age is positively associated with the long‐memory parameter in hippocampal regions.
Shahhosseini Y +3 more
europepmc +2 more sources
Wavelet Transform-Based Atomic Force Microscopy: A Computational Paradigm for Dynamic Nanoscale Imaging and Characterisation. [PDF]
Small SciWavelet transform‐based AFM enables real‐time nanoscale imaging by applying wavelet analysis to raw cantilever deflection signals. It reveals non‐linear, transient and multi‐frequency dynamics beyond conventional steady‐state methods. Integrated with adaptive filtering and digital twin modelling, it produces high‐resolution, information‐rich maps of ...
Biglarbeigi P +4 more
europepmc +2 more sources
An enhanced adaptive image steganography method using block skin-maps and the integer S-transform [PDF]
Scientific ReportsDigital image steganography is the art and science of hiding secret information in an innocent looking cover image to covertly exchange sensitive information in real-world scenarios.
Amal Khalifa +3 more
doaj +2 more sources
Hydrology Research, 2022 Groundwater is often one of the significant natural sources of freshwater supply, especially in arid and semi-arid regions, and is of paramount importance. This study provides a new and high accurate technique for forecasting groundwater level (GWL). The
Sadegh Momeneh, Vahid Nourani
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A Hybrid Robust Image Watermarking Method Based on DWT-DCT and SIFT for Copyright Protection
Journal of Imaging, 2021 In this paper, a robust hybrid watermarking method based on discrete wavelet transform (DWT), discrete cosine transform (DCT), and scale-invariant feature transformation (SIFT) is proposed.
Mohamed Hamidi +3 more
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Frontiers in Neuroscience, 2022 At present, electroencephalogram (EEG) signals play an irreplaceable role in the diagnosis and treatment of human diseases and medical research. EEG signals need to be processed in order to reduce the adverse effects of irrelevant physiological process ...
Xian-Yu Wang +7 more
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Clearing the detail coefficient of 2-D DWT Architecture based on Lifting scheme of 5/3 and 9/7 Filters [PDF]
مجلة التربية والعلم, 1999 In This paper, An efficient architecture for the implementation of two dimensional discrete wavelet transform based on lifting scheme for two types of JPEG2000 filters (5/3 and 9/7 filter) are proposed.
Dhafer Al-layla
doaj +1 more source
Sensors, 2022 Wavelet transform is an important tool in the computational signal processing of terahertz time-domain spectroscopy (THz-TDS) measurements. Despite its prevalence, the effects of using different forms of wavelet transforms in THz-TDS studies have not ...
Mahmoud E. Khani, Mohammad Hassan Arbab
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Shared Congestion Detection: A Comparative Study
Journal of Engineering, 2023 Most Internet-tomography problems such as shared congestion detection depend on network measurements. Usually, such measurements are carried out in multiple locations inside the network and relied on local clocks.
Mustafa Mohammed Abduljabbar
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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM
Shock and Vibration, 2021 Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization ...
Yan Lu, Peijiang Li
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