Blind signal separation based on widely linear complex autoregressive process of order one
Abstract In this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of general...
Main Authors: | Jiong Li, Yuan Qin, Menglan Fan, Xiaogang Tang, Lijuan Gao, Long Chen, Junhao Feng |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-02-01
|
Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13638-021-01920-8 |
Similar Items
-
Research of EEG Signal Feature Exaction Technology Based on the Blind Signal Separation Algorithm
by: Jiang Haitao, et al.
Published: (2013-10-01) -
Blind Source Separation Method Based on Neural Network with Bias Term and Maximum Likelihood Estimation Criterion
by: Sheng Liu, et al.
Published: (2021-02-01) -
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources
by: Peng Chen, et al.
Published: (2017-01-01) -
Baseband Communication Signal Blind Separation Algorithm Based on Complex Nonparametric Probability Density Estimation
by: Hua Yang, et al.
Published: (2018-01-01) -
Blind Source Separation Using Time-Frequency Masking
by: N. Grbic, et al.
Published: (2007-12-01)