Convergent Bayesian formulations of blind source separation and electromagnetic source estimation
Convergent Bayesian formulations of blind source separation and electromagnetic source estimation
复制标题
盲源分离和电磁源估计的收敛贝叶斯公式
DOI：
10.1007/978-94-011-4710-1_23
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
H. Vaughan
中科院分区：
文献类型：
--
作者：
K. Knuth;H. Vaughan
We consider two areas of research that have been developing in parallel over the last decade: blind source separation (BSS) and electromagnetic source estimation (ESE). BSS deals with the recovery of source signals when only mixtures of signals can be obtained from an array of detectors and the only prior knowledge consists of some information about the nature of the source signals. On the other hand, ESE utilizes knowledge of the electromagnetic forward problem to assign source signals to their respective generators, while information about the signals themselves is typically ignored. We demonstrate that these two techniques can be derived from the same starting point using the Bayesian formalism. This suggests a means by which new algorithms can be developed that utilize as much relevant information as possible. We also briefly mention some preliminary work that supports the value of integrating information used by these two techniques and review the kinds of information that may be useful in addressing the ESE problem.
DOI：
10.1016/0168-5597(93)90022-h
发表时间：
1993
期刊：
Electroencephalography and clinical neurophysiology
影响因子：
--
作者：
Zheng Zhang;D. Jewett
通讯作者：
Zheng Zhang;D. Jewett