Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Boyang Feng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The technique of extracting different distinguishing features by locating different part regions to achieve fine-grained visual classification (FGVC) has made significant improvements. Utilizing attention mechanisms for feature extraction ha
Externí odkaz:
https://doaj.org/article/95ee1050ff3e4131bd310bb316e90e8e
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9:127-134
Modulation type is one of the most important characteristics used in signal recognition. An algorithm to realize signal modulation identification is proposed in this paper. We applied wavelet transformation and STFT to the signal, and then used manif
Autor:
Yun Lin, Boyang Feng
Publikováno v:
International Journal of Control and Automation. 7:399-406
Modulation type is one of the most important characteristics used in radar signal recognition. This paper proposes a method to realize modulation identification. This algorithm applies wavelet transformation to the signal, and then uses manifold lear
Publikováno v:
Proceedings of 2014 3rd Asia-Pacific Conference on Antennas and Propagation.
Quadrature Amplitude Modulation (M-QAM) was developed to rapidly and automatically identify the modulation levels of digitally modulated signals at low signal-to-noise ratios (SNR). The method uses wavelet transforms with the optimal scale combining