[1] Wang L G, Li Y Q, Gong L et al. Inversion algorithm for micro-motion parameters of a cooperative target based on time-frequency feature of dynamic speckle[J]. Acta Optica Sinica, 41, 0228001(2021).

[2] Wang X, Zhou Y P, Zhou D Q et al. Research on low probability of intercept radar signal recognition using deep belief network and bispectra diagonal slice[J]. Journal of Electronics & Information Technology, 38, 2972-2976(2016).

[3] Liu T Y, Bao J S, Wang J L et al. Laser welding penetration state recognition method fused with timing information[J]. Chinese Journal of Lasers, 48, 0602119(2021).

[4] Fang W, Yang K. Inverse depth adaptive weighting based multi-view triangulation method[J]. Chinese Journal of Lasers, 47, 1204007(2020).

[5] Hu Y, Luo D Y, Hua K et al. Overview on deep learning full text replacement[J]. CAAI Transactions on Intelligent Systems, 14, 1-19(2019).

[6] Shi L M, Yang C Z, Wu H C. Radar signal recognition method based on deep residual network and triplet loss[J]. Systems Engineering and Electronics, 42, 2506-2512(2020).

[7] Sun J, Xu G L, Ren W J et al. Radar emitter classification based on unidimensional convolutional neural network[J]. IET Radar, Sonar & Navigation, 12, 862-867(2018).

[8] Cheng M W, Sori W J, Jiang F et al. Recurrent neural network based classification of ECG signal features for obstruction of sleep apnea detection[C], 199-202(2017).

[9] Ke L, Wang D N, Du Q et al. Arrhythmia classification based on convolutional long short term memory network[J]. Journal of Electronics & Information Technology, 42, 1990-1998(2020).

[10] Chen S S. Research on classification and recognition algorithm of radar signal based on RNN[D](2019).

[11] Pu Y W, Jin W D, Zhu M et al. Extracting the main ridge slice characteristics of ambiguity function for radar emitter signals[J]. Journal of Infrared and Millimeter Waves, 27, 133-137(2008).

[12] Pu Y W, Guo Y P, Hou W T et al. Morphological feature extraction based on the polar transformation of the slice of ambiguity function main ridge[J]. Chinese Journal of Scientific Instrument, 39, 1-9(2018).

[13] Akay O, Boudreaux-Bartels G F. Fractional convolution and correlation via operator methods and an application to detection of linear FM signals[J]. IEEE Transactions on Signal Processing, 49, 979-993(2001).

[14] LeCun Y, Boser B E, Denker J S et al. Handwritten digit recognition with a back-propagation network[C], 396-404(1989).

[15] Chen C X, He M H, Xu J et al. A new method for sorting unknown radar emitter signal[J]. Chinese Journal of Electronics, 23, 499-502(2014).

[16] Guo Q, Nan P L, Zhang X Y et al. Recognition of radar emitter signals based on SVD and AF main ridge slice[J]. Journal of Communications and Networks, 17, 491-498(2015).

[17] Hou W T, Pu Y W, Guo Y P et al. Radar emitter signal sorting based on Gaussi-an smoothing and ambiguity function contours[J]. Acta Automatica Sinica, 47, 2484-2493(2021).

[18] Jiang B, Mao Y L, Cao J F. Application of GRNN neural network model in radar signal modulation type recognition[J]. Electronic Design Engineering, 26, 111-115(2018).

[19] Zhou Z W, Huang G M, Gao J et al. Radar emitter identification algorithm based on deep learning[J]. Journal of Xidian University, 44, 77-82(2017).

[20] Liu Y, Tian R L, Wang X F. Radar signal recognition method based on deep convolutional neural network and bispectrum feature[J]. Systems Engineering and Electronics, 41, 1998-2005(2019).

[21] Qu Z Y, Mao X J, Hou C B. Radar signal recognition based on singular value entropy and fractal dimension[J]. Systems Engineering and Electronics, 40, 303-307(2018).