5 papers
Blind source separation using Fast-ICA with a novel nonlinear function
Pengfei Xu, Yinjie Jia, Zhijian Wang
Blind source separation(BSS) is a hotspot in signal processing, and independent component analysis (ICA) is a very effective tool for solving the BSS problem. In order to improve t…
Blind separation of rotor vibration signals in high-noise environments
Pengfei Xu, Yinjie Jia, Zhijian Wang
During the operation of the engine rotor, the vibration signal measured by the sensor is the mixed signal of each vibration source, and contains strong noise at the same time. In t…
Blind Source Separation of Optical Wireless Communications in Noisy Environments
Pengfei Xu, Yinjie Jia, Zhijian Wang
Blind source separation is a research hotspot in the field of signal processing because it aims to separate unknown source signals from observed mixtures through an unknown transmi…
Underdetermined Blind Source Separation for Sparse Signals based on the Law of Large Numbers and Minimum Intersection Angle Rule
Xu Peng-fei, Jia Yin-jie, Wang Zhi-jian
Underdetermined Blind Source Separation(UBSS) is an important issue, for sparse signals, a novel two-step approach for UBSS based on the law of large numbers and minimum intersecti…
Sliding Z Transform: Applications to convolutive blind source separation
Peng-fei Xu, Yin-jie Jia, Zhi-jian Wang
The Z Transform is a mathematical operation in signal processing, which gives a tractable way to solve linear, constant-coefficient difference equations. Based on the classical Z t…