Results 91 to 100 of about 1,560,355 (287)

Lightweight Wavelet Convolutional U-Net for Seismic Phase Recognition

IEEE Access
To reconcile the conflict between phase-picking accuracy and edge-deployment efficiency, this study proposes a Lightweight Wavelet Convolutional U-Net. The core originality lies in replacing standard sampling with an invertible wavelet paradigm.
Jianxian Cai, Jingqi Ma, Yanxiong Wu, Ping Li, Zhuangqi Guo   +4 more
doaj   +1 more source

Research of OFDM communication algorithm of low-voltage power line in coal mine

Gong-kuang zidonghua, 2014
In view of problem that traditional OFDM algorithm based on discrete Fourier transform used in underground low-voltage power lines is prone to produce larger ISI and ICI to influence normal receiving of signal, an OFDM communication algorithm based on ...
WEI Shaoliang, LIU Dahai, CHANG Ying, WANG Xuehui, ZHOU Guangping   +4 more
doaj   +1 more source

A New Folded Architecture for 2-D Discrete Wavelet Transform

, 2012
[[abstract]]Discrete wavelet transform (DWT) is a very useful tool for several applications, including signal coding, signal analysis, and image compression.
林誠偉; 張孟洲
core  

Adaptive colour constancy algorithm using discrete wavelet transform [PDF]

, 2012
The colours of chromatically homogeneous object surfaces measured by a sensor vary with the illuminant colour used to illuminate the objects. In contrast, colour constancy enables humans to identify the true colours of the surfaces under varying ...
Tjahjadi, Tardi, Turgay Celik, Tardi Tjahjadi, Çelik, Turgay   +3 more
core   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Quantification of Magnetic Interactions in van der Waals Heterostructures Using Lorentz Transmission Electron Microscopy and Off‐Axis Electron Holography

Advanced Materials, EarlyView.
Cross‐sectional Lorentz TEM and off‐axis electron holography visualize the magnetic domain structure and quantify interlayer coupling in Fe3GeTe2/graphite/Fe3GeTe2 heterostructures. A stray‐field coupling length of 37±$\pm$7 nm marks the onset of domain misalignment between the layers.
Joachim Dahl Thomsen, Qianqian Lan, Nikolai S. Kiselev, Eva Duft, Arslan Rehmat, Zdeněk Sofer, Rafal E. Dunin‐Borkowski   +6 more
wiley   +1 more source

Classification of fetal abnormalities based on CTG signal

مجلة بغداد للعلوم, 2014
The fetal heart rate (FHR) signal processing based on Artificial Neural Networks (ANN),Fuzzy Logic (FL) and frequency domain Discrete Wavelet Transform(DWT) were analysis in order to perform automatic analysis using personal computers.
Baghdad Science Journal
doaj   +1 more source

Monolithically 3D‐Printed Spectral‐Spatial Meta‐Authenticators

Advanced Materials, EarlyView.
A single height map printed in a low‐index resin by two‐photon lithography encodes multiple visible wavelengths in one metasurface without any polarization optics. A fabrication‐aware optimization folds the printable height levels into the design, so the device is printed as optimized.
Cherry Park, Shiqi Hu, Youngsun Jeon, Junsuk Rho   +3 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

CHARACTERIZATION OF BREAST TISSUES IN COMBINED TRANSFORMS DOMAIN USING SUPPORT VECTOR MACHINES [PDF]

ICTACT Journal on Image and Video Processing, 2011
Mammography is a well established imaging technique for showing tissue abnormalities of breast and has been proven to reduce death rate due to breast cancer in screened populations of women.
B.N. Prathibha, V. Sadasivam
doaj