Results 1 to 10 of about 555,673 (291)
IEEE AccessIn microseismic monitoring, sensors distributed at different spatial positions face varying noise conditions, leading to data quality deterioration. Due to the precise time-frequency analysis capabilities, flexibility, and low computational complexity ...
Yaqi Zhang +7 more
doaj +3 more sources
Acta Technica Jaurinensis, 2021 During research work, three series of studies were performed to support the importance of using rail lubrication at tramway tracks in Budapest.
Gabriella Csortos +2 more
doaj +4 more sources
A Re-Examination of the Noise Reduction Coefficient [PDF]
The Journal of the Acoustical Society of America, 1941 It is the present practice to call the average of the sound absorption coefficients at 256, 512, 1024 and 2048 cycles the noise reduction coefficient, in an effort to assign a single figure to an absorbing material which will be useful in judging its performance in a noise quieting problem.
John S. Parkinson, William A. Jack
+4 more sources
Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vidhyasaharan Sethu +2 more
openalex +5 more sources
Sound Absorption Coefficient of Different Green Materials Polymer on Noise Reduction
International Journal of Innovative Technology and Exploring Engineering, 2020 One of the sources of noise pollution to environment is from the consumption of electrical and mechanical appliances usage at home and industries. Growth development and advancement of heavy equipment in construction work further emphasize the necessity used of new technologies for noise reduction.
Nadiatul Syima Mohd Shahid +2 more
openalex +2 more sources
A Novel Noise Reduction Method of UAV Magnetic Survey Data Based on CEEMDAN, Permutation Entropy, Correlation Coefficient and Wavelet Threshold Denoising [PDF]
Entropy, 2021 Despite the increased attention that has been given to the unmanned aerial vehicle (UAV)-based magnetic survey systems in the past decade, the processing of UAV magnetic data is still a tough task. In this paper, we propose a novel noise reduction method of UAV magnetic data based on complete ensemble empirical mode decomposition with adaptive noise ...
Yaoxin Zheng +3 more
openalex +5 more sources
Research on the EEMD-SE-IWTD Combined Noise Reduction Method for High-Speed Transient Complex Features in Acceleration Signals [PDF]
SensorsTraditional noise reduction methods often struggle to balance noise suppression with the preservation of transient features in acceleration signals, especially when dealing with high-speed transient data.
Huifa Shi +5 more
doaj +2 more sources
In Situ Calculation of Spaceflight Magnetometer Coupling Coefficients for Interference Removal using the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN) [PDF]
Earth and Space ScienceAbstractSpace‐based in situ magnetic field measurements are often limited by spacecraft‐generated interference, known as stray magnetic fields. These fields, generated by currents from spacecraft subsystems, are frequently several times stronger than the ambient magnetic field signals of interest.
Alex Paul Hoffmann, Mark B. Moldwin
+5 more sources
Configuring fixed-coefficient active control systems for traffic noise reduction [PDF]
Building and Environment, 2018 Abstract Practical implementation of active noise control (ANC) systems for outdoor traffic noise reduction remains rare. One challenge is the difficulty of configuring an ANC controller due to moving noise sources, which are typically located far from ANC systems.
Sipei Zhao +3 more
openalex +2 more sources
Advances in Electrical and Electronic Engineering, 2018 The diagnosis of UltraSound (US) medical images is affected due to the presence of speckle noise. This noise degrades the diagnostic quality of US images by reducing small details and edges present in the image. This paper presents a novel method based on shearlet coefficients modeling of log-transformed US images.
Amit Garg, Vineet Khandelwal
openalex +4 more sources