Effective Separation Method for Single-Channel Time-Frequency Overlapped Signals Based on Improved Empirical Wavelet Transform |
Liu, Zhipeng
(National Digital System Engineering and Technological Research R&D Center)
Li, Lichun (National Digital System Engineering and Technological Research R&D Center) Li, Huiqi (National Digital System Engineering and Technological Research R&D Center) Liu, Chang (School of Resources Environment and Chemical Engineering of Nanchang University) |
1 | Zhang M, Liu L, Diao M, et al., "LPI Radar Waveform Recognition Based on Time-Frequency Distribution," Sensors, vol. 16, no. 10, 1682, October 2016. DOI |
2 | Daubechies I, "Ten Lectures on Wavelets" CBMS-NSF Regional Conference Series in Applied Mathematics, The Society for Industrial and Applied Mathematics: Philadelphia, PA, USA, 1992. |
3 | Zhao Miaoying, Xugang, "Feature Extraction for Vibration Signals of Power Transformer Based on Empirical Wavelet Transform," Automation of Electronic Power Systems, vol. 41, no. 20, pp. 63-69, October 2017. |
4 | Gilles J, Kathryn Heal, "A parameterless scale-space approach to find meaningful modes in histograms u2014 Application to image and spectrum segmentation," International Journal of Wavelets Multi resolution & Information Processing, vol. 12, no. 6, 1450044, 2014, 12(06):1450044. DOI |
5 | Ge X, Sun Y, Gharavi H, et al., "Joint Optimization of Computation and Communication Power in Multi-user Massive MIMO Systems," IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 4051-4063, June 2018. DOI |
6 | Virta J, Nordhausen K, "Blind source separation of tensor-valued time series," Signal Processing, vol. 141, pp. 204-216, December 2017. DOI |
7 | Peng T, Yang C, "A Time-Frequency domain blind source separation method for underdetermined instantaneous mixtures," Circuits Systems & Signal Processing, vol. 34, no. 12, pp. 3883-3895, March 2015. DOI |
8 | Jimenezgonzalez A, James C J, "Extracting sources from noisy abdominal phonograms: a single-channel blind source separation method," Medical & Biological Engineering & Computing, vol. 47, no. 6, pp. 655-664, March 2009. DOI |
9 | Yongjian Liu, Peng Xiao, Hongchao Wu, Weihua Xiao, "LPI radar signal detection based on radial integration of Choi-Williams time-frequency image," Journal of Systems Engineering and Electronics, vol. 26, no. 5, pp. 973-981, December 2015. DOI |
10 | Z Jing M, Mcginnity T M, Coleman S, et al., "Enhancement of Fiber Orientation Distribution Reconstruction in Diffusion-Weighted Imaging by Single Channel Blind Source Separation," IEEE Transactions on Biomedical Engineering, vol. 59, no. 2, pp. 363-373, October 2012. DOI |
11 | Zhang Xing, "Research on detection, recognition and separation technologies for the multi-carrier mixed signal," University of Electronic Science and technology of China, 2017. |
12 | Venkatappareddy P, Lall B, "Characterizing Empirical Mode Decomposition Algorithm Using Signal Processing Techniques," Circuits Systems & Signal Processing, vol. 37, no. 7, pp. 2969-2996, November 2018. DOI |
13 | Zhao Yufeng, "Single channel blind separation of time-frequency overlapped communication signals," University of Science and Technology of China, 2015. |
14 | Zhang Y, Zhang S, Qi R, "Compressed Sensing Construction for Underdetermined Source Separation," Circuits Systems & Signal Processing, vol. 36, no. 11, pp. 4741-4755, November 2017. DOI |
15 | Vipin K. Mishra, Varun Bajaj, Anil Kumar, Dheeraj Sharma, G.K. Singh, "An efficient method for analysis of EMG signals using improved empirical mode decomposition," AEU-International Journal of Electronics and Communications, vol. 72, pp. 200-209, February 2017. DOI |
16 | Pang Lihui, "Research on signal separation method for time-frequency overlapped digital communication signal from single antenna," University of Electronic Science and technology of China, 2015. |
17 | Cheng Xiefeng, Ma Yong, Zhang Xuejun, et al., "A single-channel mixed signal bss new method without using the prior knowledge," ACTEA ELECTRONICA SINICA, vol.39, no. 10, pp. 2317-2321, October 2011. |
18 | Kedadouche M, Thomas M, Tahan A, "A comparative study between Empirical Wavelet Transforms and Empirical Mode Decomposition Methods: Application to bearing defect diagnosis," Mechanical Systems & Signal Processing, vol. 81, no. 15, pp. 88-107, December 2016. DOI |
19 | Yang Yanli, Deng Jiahao, "Analysis on frequency resolution of EMD based on B-spline interpolation," AEU-International Journal of Electronics and Communications, vol. 70, no. 9, pp. 1235-1240, September 2016. DOI |
20 | Li Y, Chen X, et al., "Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient," Sensors, vol. 18, no. 1, 48, December 2018. |
21 | Gilles J, "Empirical Wavelet Transform," IEEE Transactions on Signal Processing, vol. 61, no. 16, pp. 3999-4010, May 2013. DOI |
22 | Thirumala K, Shantanu, Jain T, et al., "Visualizing time-varying power quality indices using generalized empirical wavelet transform," Electric Power Systems Research, vol. 143, pp. 99-109, February 2017. DOI |
23 | Feng Z, Liang M, Chu F, "Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples," Mechanical Systems & Signal Processing, vol. 38, no. 1, pp. 165-205, July 2013. DOI |
24 | Guo Q, Li C, Ruan G, "Mixing Matrix Estimation of Underdetermined Blind Source Separation Based on Data Field and Improved FCM Clustering," Symmetry, vol. 10, no. 1, 21, January 2018. |