Acknowledgement
This paper is funded by National Natural Science Foundation of China (Grant No. 61301250), China Scholarship Council (Grant No. [2020]1417), Key Research and Development Project of Shanxi Province (Grant No. 201803D421035), Natural Science Foundation for Young Scientists of Shanxi Province (Grant No. 201901D211313), Shanxi Scholarship Council of China (Grant No. HGKY2019080 and 2020-127), Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (STIP) (Grant No. 2022L641), and Shanxi Province Postgraduate Excellent Innovation Project Plan (Grant No. 2021Y679).
References
- W. Fu, X. Zhou, and B. Nong, "The research of SCBSS technology: survey and prospect," Journal of Beijing University of Posts and Telecommunications, vol. 40, no. 5, pp. 1-11, 2017.
- R. Hephzibah, H. C. Anandharaj, G. Kowsalya, R. Jayanthi, and D. A. Chandy, "Review on deep learning methodologies in medical image restoration and segmentation," Current Medical Imaging, vol. 19, no. 8, pp. 844-854, 2023. https://doi.org/10.2174/1573405618666220407112825
- G. Liu, W. Tian, Y. Luo, J. Zou, and S. Tang, "A windowed-total-variation regularization constraint model for blind image restoration," Journal of Information Processing Systems, vol. 18, no. 1, pp. 48-58, 2022. https://doi.org/10.3745/JIPS.04.0233
- J. Han, Y. Shi, Y. Long, and J. Liang, "Exploring single channel speech separation for short-time textdependent speaker verification," International Journal of Speech Technology, vol. 25, pp. 261-268, 2022. https://doi.org/10.1007/s10772-022-09959-8
- W. H. Lai and S. L. Wang, "RPCA-DRNN technique for monaural singing voice separation," EURASIP Journal on Audio, Speech, and Music Processing, vol. 2022, article no. 4, 2022. https://doi.org/10.1186/s13636-022-00236-9
- B. Wu, T. Cheng, T. L. Yip, and Y. Wang, "Fuzzy logic based dynamic decision-making system for intelligent navigation strategy within inland traffic separation schemes," Ocean Engineering, vol. 197, article no. 106909, 2020. https://doi.org/10.1016/j.oceaneng.2019.106909
- D. Kitamura, H. Saruwatari, K. Shikano, K. Kondo, and Y. Takahashi, "Music signal separation by supervised nonnegative matrix factorization with basis deformation," in Proceedings of 2013 18th International Conference on Digital Signal Processing (DSP), Fira, Greece, 2013, pp. 1-6. https://doi.org/10.1109/ICDSP.2013.6622812
- P. Dey, U. Satija, and B. Ramkumar, "Single channel blind source separation based on variational mode decomposition and PCA," in Proceedings of 2015 Annual IEEE India Conference (INDICON), New Delhi, India, 2015, pp. 1-5. https://doi.org/10.1109/INDICON.2015.7443723
- Z. Zhang, "Image restoration based on principal component analysis," Journal of Changchun Normal University (Natural Science Edition), vol. 38, no. 6, pp. 21-23, 29, 2019. https://doi.org/10.3969/j.issn.1008-178X.2019.06.005
- Z. C. Fan, Y. L. Lai, and J. S. R. Jang, "SVSGAN: singing voice separation via generative adversarial network," in Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018, pp. 726-730. https://doi.org/10.1109/ICASSP.2018.8462091
- D. Stoller, S. Ewert, and S. Dixon, "Adversarial semi-supervised audio source separation applied to singing voice extraction," in Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018, pp. 2391-2395. https://doi.org/10.1109/ICASSP.2018.8461722
- X. Lin and Y. Gao, "An improved resampling particle filter blind separation algorithm," Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), vol. 31, no. 4, pp. 502-508, 2019. https://doi.org/10.3979/j.issn.1673-825X.2019.04.010
- K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, "Beyond a gaussian denoiser: residual learning of deep CNN for image denoising," IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3142-3155, 2017. https://doi.org/10.1109/TIP.2017.2662206
- E. M. Grais, G. Roma, A. J. Simpson, and M. D. Plumbley, "Two-stage single-channel audio source separation using deep neural networks," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 9, pp. 1773-1783, 2017. https://doi.org/10.1109/TASLP.2017.2716443
- C. Zheng, X. Zhang, T. Cao, J. Yang, M. Sun, and Y. Xing, "Blind enhancement algorithm for throat microphone speech based on LSTM recurrent neural networks," Journal of Data Acquisition and Processing, vol. 34, no. 4, pp. 615-624, 2019. https://doi.org/10.16337/j.1004-9037.2019.04.005
- T. Wang, C. Qiu, J. Yu, and J. Xu, "Natural image classification based on improved SAE network," Information Technology, vol. 2016, no. 8, pp. 1-4,8, 2016. https://doi.org/10.13274/j.cnki.hdzj.2016.08.001
- M. Mirza and S. Osindero, "Conditional generative adversarial nets," 2014 [Online]. Available: https://arxiv.org/abs/1411.1784.
- Y. C. Subakan and P. Smaragdis, "Generative adversarial source separation," in Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018, pp. 26-30. https://doi.org/10.1109/ICASSP.2018.8461671
- Q. Kong, Y. Xu, W. Wang, P. J. Jackson, and M. D. Plumbley, "Single-channel signal separation and deconvolution with generative adversarial networks," 2019 [Online]. Available: https://arxiv.org/abs/1906.07552.
- T. Liu, T. Yin, Z. Gong, and Y. Guo, "Research on single-channel blind deconvolution algorithm for multisource signals," Journal of Electronics & Information Technology, vol. 44, no. 1, pp. 230-236, 2022. https://doi.org/10.11999/JEIT200933
- T. Yin, T. Liu, and Y. Guo, "Research on single-channel blind deconvolution algorithm for ancient Chinese character restoration," Small Microcomputer System, vol. 42, no. 2, pp. 414-417, 2021. https://doi.org/10.3969/j.issn.1000-1220.2021.02.033
- Z. Yi, H. Zhang, P. Tan, and M. Gong, "DualGAN: unsupervised dual learning for image-to-image translation," in Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy, 2017, pp. 2849-2857. https://doi.org/10.1109/ICCV.2017.310