# A Novel Dual-Component Radar-Signal Modulation Recognition Method Based on CNN-ST
## Nomenclature
(2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Visual transformers: Token-based image representation and processing for computer vision. _arXiv_**2020**, arXiv:20200559351. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Transgan: Two transformers can make one strong gan. In Proceedings of the 35 th Conference on Neural Information Processing Systems, Online, 6-14 December 2021; pp. 14745-14758. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Tokens-to-token vit: Training vision transformers from scratch on imageNet. In Proceedings of the 18 th IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, Online, Canada, 11-17 October 2021; pp. 558-567. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Training data-efficient image transformers & distillation through attention. In Proceedings of the International Conference on Machine Learning (ICML), Electr Network, 18-24 July 2021; pp. 7358-7367. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; IEEE. Pyramid vision transformer: A versatile backbone for dense prediction without convolutions. In Proceedings of the 18 th IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, Online, Canada, 11-17 October 2021; pp. 548-558. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] A comparison of the denoising performance using capon time-frequency and empirical wavelet transform applied on biomedical signal. _Int. J. Eng. Appl._**2023**, _11_, 358-365. [CrossRef]
* [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Noised abnormal ECG signal analysis by combining EMD and Choi-Williams techniques. In Proceedings of the 2012 IEEE International Conference on Complex Systems, Agadir, Morocco, 5-6 November 2012; pp. 1-5. * [PERSON] and [PERSON] (2013) [PERSON]; [PERSON] Dynamic threshold for spwvd parameter estimation based on otsu algorithm. _J. Syst. Eng. Electron._**2013**, _24_, 919-924. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON] Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. _Neural Netw._**2018**, _107_, 3-11. [CrossRef] [PubMed]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Searching for activation functions. In Proceedings of the 6 th International Conference on Learning Representations, Vancouver, BC, Canada, 30 April-3 May 2018; pp. 1-13. * [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON] Binaryconnect: Training deep neural networks with binary weights during propagations. In Proceedings of the International Conference on Neural Information Processing Systems, Montreal, QC, Canada, 7-12 December 2015; pp. 1-9. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Semantic segmentation of satellite images using a modified cnn with hard-swish activation function. In Proceedings of the 14 th International Conference on Computer Vision Theory and Applications, Barcelona, Spain, 25-27 February 2019; pp. 413-420. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Ds-transunet: Dual swin transformer u-net for medical image segmentation. _IEEE Trans. Instrum. Meas._**2022**, _71_, 4005615. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Radar signal intra-pulse modulation recognition based on convolutional neural network and deep q-learning network. _IEEE Access_**2020**, \(8\), 49125-49136. [CrossRef]  
**Disclaimer/Publisher's Note:** The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.