1 |
HERAULT J, JUTTEN C. Space or time adaptive signal processing by neural network models[C]//Proc. of the AIP Confe-rence Proceedings, 1986: 206-211.
|
2 |
BELOUCHRANI A , ABED-MERAIM K , CARDOSO J F , et al. A blind source separation technique using second-order statistics[J]. IEEE Trans.on Signal Processing, 1997, 45 (2): 434- 444.
doi: 10.1109/78.554307
|
3 |
BAI X W , FU W H , ZHOU C H , et al. Mixing matrix estimation algorithm for time-varying radar signals in a dynamic system under UBSS model[J]. Circuits, Systems, and Signal Processing, 2021, 40 (6): 3075- 3098.
doi: 10.1007/s00034-020-01614-4
|
4 |
WEI L L , LIU Y S , CHENG D F . A novel partial discharge ultra-high frequency signal de-noising method based on a single channel blind source separation algorithm[J]. Electronics Newsweekly, 2018, 11 (3): 509- 516.
|
5 |
HOPGOOD J R , RAYNER P J . Single channel nonstationary stochastic signal separation using linear time-varying filters[J]. IEEE Trans.on Signal Processing, 2003, 51 (7): 1739- 1752.
doi: 10.1109/TSP.2003.812837
|
6 |
DAVIES M E , JAMES C J . Source separation using single channel ICA[J]. Signal Processing, 2007, 87 (8): 1819- 1832.
doi: 10.1016/j.sigpro.2007.01.011
|
7 |
ZHU H , ZHANG S N , ZHAO H C . Single-channel source se-paration of multi-component radar signal with the same genera-lized period using ICA[J]. Circuits, Systems, and Signal Processing, 2016, 35 (1): 353- 363.
doi: 10.1007/s00034-015-0061-1
|
8 |
ALI S , KHAN N A , HANEEF M , et al. Blind source separation schemes for mono-sensor and multi-sensor systems with application to signal detection[J]. Circuits, Systems, and Signal Processing, 2017, 36 (11): 4615- 4636.
doi: 10.1007/s00034-017-0533-6
|
9 |
ZHAO M C , YAO X J , WANG J , et al. Single-channel blind source separation of spatial aliasing signal based on Stacked-TCN[J]. Sensors (Basel), 2021, 21 (14): 4844.
doi: 10.3390/s21144844
|
10 |
OLIVEIRA D R D , LIMA M A A , SILVA L R M , et al. Se-cond order blind identification algorithm with exact model order estimation for harmonic and interharmonic decomposition with reduced complexity[J]. International Journal of Electrical Power and Energy Systems, 2021, 125, 106415.
doi: 10.1016/j.ijepes.2020.106415
|
11 |
PANG L H , DENG X R . A SCBSS methodology for time-frequency overlapped signals using non-negative matrix factorization[J]. International Journal of Electronics, 2016, 104 (4): 624- 634.
|
12 |
HUANG N E , SHEN Z , LONG S R , et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998, 454 (1971): 903- 995.
doi: 10.1098/rspa.1998.0193
|
13 |
GAO B , WOO W L , DLAY S S . Single-channel source separation using EMD-subband variable regularized sparse features[J]. IEEE Trans.on Audio, Speech, and Language Processing, 2011, 19 (4): 961- 976.
doi: 10.1109/TASL.2010.2072500
|
14 |
PRASANNA KUMAR M K , KUMARASWAMY R . Single-channel speech separation using combined EMD and speech-specific information[J]. International Journal of Speech Technology, 2017, 20 (4): 1037- 1047.
doi: 10.1007/s10772-017-9468-3
|
15 |
YUE G , LI X , CHEN S Y , et al. An automatic ocular artifacts removal approach for multi-channel EEG data based on NMF and EMD[J]. Journal of Neural Engineering, 2021, 18 (5): 6012- 6017.
|
16 |
WU Z , HUANG N E . Ensemble empirical mode decomposition: a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1 (1): 1- 41.
doi: 10.1142/S1793536909000047
|
17 |
SHANG H K , LO K L , LI F . Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy[J]. Entropy, 2017, 19 (9): 439- 456.
doi: 10.3390/e19090439
|
18 |
SONG H L , DONG H B , YUAN Z W , et al. An EEMD-based electromagnetic induction method for nondestructive testing of buried metal conductors[J]. IEEE Access, 2019, 7 (1): 142261- 142271.
|
19 |
LIU X L , WANG H , HUANG Y M . A SCBSS signal de-noising method of integrating EEMD and ESMD for dynamic deflection of bridges using GBSAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 2845- 2856.
doi: 10.1109/JSTARS.2021.3061543
|
20 |
ZHAO L H , HONG G , WANG Z L , et al. Research on fault vibration signal features of GIS disconnector based on EEMD and kurtosis criterion[J]. IEEJ Trans.on Electrical and Electronic Engineering, 2021, 16 (5): 677- 686.
doi: 10.1002/tee.23347
|
21 |
DRAGOMIRETSKIY K , ZOSSO D . Variational mode decomposition[J]. IEEE Trans.on Signal Processing, 2013, 62 (3): 531- 544.
|
22 |
ZHANG Y N , QI S B , ZHOU L . Single channel blind source separation for wind turbine aeroacoustics signals based on variational mode decomposition[J]. IEEE Access, 2018, 6 (1): 73952- 73964.
|
23 |
BHATTACHARJEE A , FATTAH S A , ZHU W P , et al. VMD-RiM: Rician modeling of temporal feature variation extracted from variational mode decomposed EEGs signal for automatic sleep apnea detection[J]. IEEE Access, 2018, 6 (1): 77440- 77453.
|
24 |
WANG R , XU L , LIU F K . Bearing fault diagnosis based on improved VMD and DCNN[J]. Journal of Vibro-engineering, 2020, 22 (5): 1055- 1068.
doi: 10.21595/jve.2020.21187
|
25 |
PANG L H , TANG B . Wavelet FastICA based separation method for single-channel and time-frequency overlapped signal in electromagnetic surveillance[J]. International Journal of Information and Communication Technology, 2017, 11 (2): 187- 201.
doi: 10.1504/IJICT.2017.086248
|
26 |
ZHAO Z J , HUANG Y B . Single-channel blind-source separation algorithm based on wavelet packet decomposition[J]. Communications Technology, 2017, 50 (3): 425- 429.
doi: 10.3969/j.issn.1002-0802.2017.03.007
|
27 |
CHEN C, LU Z F, GUO Z F, et al. Deep learning based single-channel blind separation of co-frequency modulated signals[C]// Proc. of the International Conference on Communications and Networking, 2019: 607-618.
|
28 |
LUO Y, CHEN Z, YOSHIOKA T. Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2020: 46-50.
|
29 |
WU S Y , GAO Y . Single-channel blind separation combined with deep recurrent neural network[J]. Radio Engineering, 2021, 51 (7): 563- 567.
doi: 10.3969/j.issn.1003-3106.2021.07.008
|
30 |
GUO Y M , PENG H , YANG Y . Blind separation algorithm for non-cooperative PCMA signal based on feedforward neural network[J]. Tien Tzu Hsueh Pao/acta Electronica Sinica, 2019, 47 (2): 302- 307.
|
31 |
CARDOSO J F , LAHELD B H . Equivariant adaptive source separation[J]. IEEE Trans.on Signal Processing, 1996, 44 (12): 3017- 3030.
doi: 10.1109/78.553476
|