Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Chaozhu Zhang"'
Publikováno v:
IEEE Access, Vol 12, Pp 38542-38550 (2024)
Multiscale Dense Network (MSDN) is a deep convolutional neural network method proposed to solve the loss of fine features in hyperspectral remote sensing images. Multiscale Dense Network (MSDN), which makes full use of the different scale information
Externí odkaz:
https://doaj.org/article/13abe45bb2d945749579e369797006b6
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTAiming the problems that the classification performance of hyperspectral images in existing classification algorithms is highly dependent on spatial-spectral information and that detailed features are ignored in single convolutional channel f
Externí odkaz:
https://doaj.org/article/375a6a388c3c42a9bc1c3c4b46c0cb38
Publikováno v:
IEEE Access, Vol 11, Pp 114146-114154 (2023)
Since hyperspectral remote sensing images are three-dimensional data cubes with spatial and spectral information, with many wavebands and high inter-band correlation, the number of training samples required for classification is greatly increased. In
Externí odkaz:
https://doaj.org/article/f065256c93b44e7185beacec3aa203a7
Publikováno v:
Sensors, Vol 23, Iss 18, p 7694 (2023)
EEG decoding based on motor imagery is an important part of brain–computer interface technology and is an important indicator that determines the overall performance of the brain–computer interface. Due to the complexity of motor imagery EEG feat
Externí odkaz:
https://doaj.org/article/b05c5b1b1a5048568c8482f0e14c765f
Publikováno v:
IEEE Access, Vol 8, Pp 50872-50883 (2020)
With a tremendous amount of underutilized bandwidth, millimeter wave (mmWave) communication is a promising solution to meet the increasing data-rate demands. To deal with high pathloss in mmWave frequency band, efficient large antenna arrays become c
Externí odkaz:
https://doaj.org/article/abf07e8ef375492d93ee5c3621e77bb2
Autor:
Changrui Liu, Chaozhu Zhang
Publikováno v:
Sensors, Vol 22, Iss 17, p 6698 (2022)
With the development of portable EEG acquisition systems, the collected EEG has gradually changed from being multi-channel to few-channel or single-channel, thus the removal of single-channel EEG signal artifacts is extremely significant. For the art
Externí odkaz:
https://doaj.org/article/f24b5d84c7cd409f96847b941b664dd2
Publikováno v:
IEEE Access, Vol 7, Pp 155392-155404 (2019)
Wireless body area networks (WBAN) require long life links and energy efficient system. Besides the increasing commercialization of WBAN, health monitoring applications calls for enhanced quality of service (QoS). The establishment of the reliable an
Externí odkaz:
https://doaj.org/article/81d523aeebdf4995abf7f4ddd047addd
Publikováno v:
IEEE Access, Vol 6, Pp 54310-54319 (2018)
This paper addresses the problem of estimating frequency hopping (FH) signals parameters with the single array. The existing optimization algorithms are with unrealistic computational burden. In order to reduce the computation burden, a novel method,
Externí odkaz:
https://doaj.org/article/6773a908c1154041867667eabd45e512
Publikováno v:
IEEE Access, Vol 6, Pp 69407-69414 (2018)
This paper considers the problems of synchronous orthogonal frequency-hopping (FH) signals separation and direction of arrival (DOA) estimation in the underdetermined situation. First of all, in order to estimate the mixing matrix of the FH signals,
Externí odkaz:
https://doaj.org/article/06a5ac5ce1774f478d5985b2fe0996fe
Publikováno v:
The Journal of Engineering (2019)
The compressed sensing (CS) radar receiver based on the theory of CS has a great advantage in receiving wide-band signal and can receive high-frequency radar signal at a sampling rate far lower than the traditional receiver. However, in order to obta
Externí odkaz:
https://doaj.org/article/7ccc0a3c54004dfa933ed8c0d400d622