Zobrazeno 1 - 10
of 4 903
pro vyhledávání: '"Noise suppression"'
Publikováno v:
Meitan xuebao, Vol 49, Iss 3, Pp 1530-1538 (2024)
The seismic signals collected underground in coal mines often exhibit complex waveforms accompanied by significant noise interference, leading to a reduction in the accuracy of first arrival time picking of seismic signals and thereby impacting the i
Externí odkaz:
https://doaj.org/article/1ae0f247039449f5b0373d613e8479ae
Autor:
Harishchandra Dubey, Ashkan Aazami, Vishak Gopal, Babak Naderi, Sebastian Braun, Ross Cutler, Alex Ju, Mehdi Zohourian, Min Tang, Mehrsa Golestaneh, Robert Aichner
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 725-737 (2024)
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS. Previous DNS challenges were held at INTERSPEECH 2020,
Externí odkaz:
https://doaj.org/article/176f4f8f3a224c6a9590c78c3880ba56
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109913- (2024)
Distributed energy resources (DER) are integrated into a microgrid through dc-dc power electronic converters. The bidirectional dc-dc converter regulates charging and discharging operations of ESS. Model predictive control (MPC), is a high-performanc
Externí odkaz:
https://doaj.org/article/f9591e59f91a4fdf9b8ec2f1c184a496
Publikováno v:
IEEE Access, Vol 12, Pp 123376-123387 (2024)
To address the problem of reduced channel estimation performance in underwater acoustic Orthogonal Frequency Division Multiplexing (OFDM) systems due to impulse noise, a method for impulse noise suppression and underwater acoustic channel estimation
Externí odkaz:
https://doaj.org/article/804da0bece1b48dd9128828e82a4422a
Publikováno v:
IEEE Access, Vol 12, Pp 88927-88938 (2024)
Dynamic nonlinear equations (DNEs) are essential for modeling complex systems in various fields due to their ability to capture real-world phenomena. However, the solution of DNEs presents significant challenges, especially in industrial settings whe
Externí odkaz:
https://doaj.org/article/1a2f96b4054a4f4b84a13c5972396693
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 3, Pp 1-8 (2024)
This paper examines the potential of utilizing a Faraday anomalous dispersion optical filter (FADOF) to enhance noise reduction in a FMCW LiDAR (Frequency-Modulated Continuous-Wave Laser Detection And Ranging) system. While the FMCW LiDAR itself demo
Externí odkaz:
https://doaj.org/article/913757bb3d924bb593fb409b293a8bda
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4036-4051 (2024)
Synthetic aperture radar (SAR) images are often affected by a type of multiplicative noise known as “speckle” due to their active imaging characteristics. This property complicates the processing and interpretation of SAR images. While deep learn
Externí odkaz:
https://doaj.org/article/d8a134a24cfe4985bd93d8e40da4d9c2
Publikováno v:
Leida xuebao, Vol 12, Iss 6, Pp 1263-1274 (2023)
Frequency agile technology provides full play to the advantage of radars for adopting electronic countermeasures actively, which can effectively enhance the antinoise suppression jamming performance of radars. However, with the increasing complexity
Externí odkaz:
https://doaj.org/article/e4fa611a910145729d0b259a556b0a1d
Publikováno v:
Leida xuebao, Vol 12, Iss 5, Pp 1031-1043 (2023)
With the substantial improvement of Synthetic Aperture Radar (SAR) regarding swath width and spatial and temporal resolutions, a time series obtained by registering SAR images acquired at different times can provide more accurate information on the d
Externí odkaz:
https://doaj.org/article/facffce21a3e462fba2a27de5a4ea80b
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3222 (2024)
The speckle noise inherent in synthetic aperture radar (SAR) imaging has long posed a challenge for SAR data processing, significantly affecting image interpretation and recognition. Recently, deep learning-based SAR speckle removal algorithms have s
Externí odkaz:
https://doaj.org/article/969bd5e7deda4f74bada7dcc8b3d96ae