Results 41 to 50 of about 1,497,924 (152)
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar +2 more
wiley +1 more source
Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform
Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in ...
Shanshan Chen +4 more
doaj +1 more source
Conception of Voltage Interruption Signal using Continuous Wavelet, Discrete Wavelet, and Wavelet Packet Analysis [PDF]
This paper focuses on conception of voltage interruption signal in different domains. According to IEEE Standard 1159, Interruption is categorised under short-duration voltage variations in the description of classification of ‘Power quality Disturbances’
Priyadarshini M. S. +3 more
doaj +1 more source
Multi - Wavelet Domain Reconstruction of Lost Blocks in Wireless Image Transmission [PDF]
bstract A fast scheme for multi - wavelet domain interpolation of lost image blocks in wireless image transmission is proposed in this paper . Instead of using common retransmission query protocols , the lost block is reconstructed in the multi - wavelet
Waleed Mahmoud +2 more
doaj +1 more source
Design of Large‐Aperture Hybrid Refractive Metalens System
An all‐germanium hybrid refractive–metalens system was constructed by integrating a planar Ge metalens with a single aspheric Ge lens, enabling compact wavefront correction in the LWIR band. The all‐Ge hybrid architecture simplifies conventional multi‐element infrared optics into a lightweight integrated imaging system while maintaining effective ...
Yinpeng Ma +9 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
TFT-LCD Mura Defect Detection Using Wavelet and Cosine Transforms
Mura defects in LCM panel of TFT-LCD have the properties of local low contrast and luminance variation without a clear contour on a uniformly produced surface.
Shang-Liang CHEN, Shang-Ta CHOU
doaj +1 more source
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin +4 more
wiley +1 more source
Wavelet‐Based Hurst Exponent Estimation
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
In this paper, we present a 2D Logistic-Sine-Cosine map (2D-LSCM) which is based on the classical 2D Logistic, Sine and Cosine maps. Performance analysis shows that it has larger chaotic range, bigger Lyapunov exponent and more complex chaotic behavior ...
Huiqing Huang
doaj +1 more source

