Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Shun-Tian Lou"'
Publikováno v:
IEEE Access, Vol 9, Pp 62916-62925 (2021)
Convolutional neural network (CNN) models have recently demonstrated impressive classification and recognition performance on image and video processing scope. In this paper, we investigate the application of CNN to identifying modulation classes for
Externí odkaz:
https://doaj.org/article/b804879745b84be2baedfd4954d4ddcc
Publikováno v:
IEEE Access, Vol 9, Pp 159873-159881 (2021)
Fault diagnosis of aero-engine spindle bearing is a critical technique of engine prognostics and health management. As is known that the diagnosis of compound fault of aero-engine spindle bearing is very difficult and easily affected by other vibrati
Externí odkaz:
https://doaj.org/article/1b3df60aeb2f46aeb0ee584ea343f6ae
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2749 (2021)
Accurate and reliable crop classification information is a significant data source for agricultural monitoring and food security evaluation research. It is well-known that polarimetric synthetic aperture radar (PolSAR) data provides ample information
Externí odkaz:
https://doaj.org/article/ffa4edbf15794f63b4772646a668a439
Publikováno v:
Neurocomputing. 438:63-71
The suppression of interference for speech recognition is of great significance in noisy situation, especially in single channel receiving mode, the suppression of interference is much more difficult. In this paper, we propose a generative adversaria
Publikováno v:
IEEE Access, Vol 9, Pp 159873-159881 (2021)
Fault diagnosis of aero-engine spindle bearing is a critical technique of engine prognostics and health management. As is known that the diagnosis of compound fault of aero-engine spindle bearing is very difficult and easily affected by other vibrati
Publikováno v:
IEEE Access, Vol 9, Pp 62916-62925 (2021)
Convolutional neural network (CNN) models have recently demonstrated impressive classification and recognition performance on image and video processing scope. In this paper, we investigate the application of CNN to identifying modulation classes for
Publikováno v:
Remote Sensing, Vol 13, Iss 2749, p 2749 (2021)
Remote Sensing
Volume 13
Issue 14
Pages: 2749
Remote Sensing
Volume 13
Issue 14
Pages: 2749
Accurate and reliable crop classification information is a significant data source for agricultural monitoring and food security evaluation research. It is well-known that polarimetric synthetic aperture radar (PolSAR) data provides ample information
Publikováno v:
IEEE Transactions on Signal Processing. 64:2880-2893
Direction finding for multiple targets is one of the most important tasks in MIMO radar applications. The existing algorithms such as MUSIC and ESPRIT for direction finding can only achieve the localization of multiple targets with unchanged location
Autor:
Shun-Tian Lou, Wei-Tao Zhang
Publikováno v:
Signal Processing. 93:313-320
Joint diagonalization of a set of matrices is an essential tool in many signal processing applications. This letter is devoted to seeking a recursive solution to nonunitary joint diagonalization. The proposed algorithm recursively minimizes an expone
Autor:
Shun-Tian Lou, Wei-Tao Zhang
Publikováno v:
ICASSP
This paper deals with the nonunitary joint block diagonaliza-tion (JBD) of a set of given matrices for nonsquare mixing. As is known that the elimination of the degenerate solutions is a crucial problem in nonunitary JBD. Unlike the existing method,