General approach to blind source separation Export

@article{citeulike:1632416, abstract = {This paper identifies and studies two major issues in the blind source separation problem: separability and separation principles. We show that separability is an intrinsic property of the measured signals and can be described by the concept of m-row decomposability introduced in this paper; we also show that separation principles can be developed by using the structure characterization theory of random variables. In particular, we show that these principles can be derived concisely and intuitively by applying the Darmois-Skitovich theorem, which is well known in statistical inference theory and psychology. Some new insights are gained for designing blind source separation filters}, author = {Cao, Xi-Ren and Liu, Ruey-Wen}, booktitle = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, citeulike-article-id = {1632416}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/78.489029}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=489029}, doi = {10.1109/78.489029}, journal = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, keywords = {bss, overcomplete}, number = {3}, pages = {562--571}, posted-at = {2007-09-07 20:09:06}, priority = {2}, title = {General approach to blind source separation}, url = {http://dx.doi.org/10.1109/78.489029}, volume = {44}, year = {1996} }

TY - JOUR ID - citeulike:1632416 L3 - citeulike-article-id:1632416 N2 - This paper identifies and studies two major issues in the blind source separation problem: separability and separation principles. We show that separability is an intrinsic property of the measured signals and can be described by the concept of m-row decomposability introduced in this paper; we also show that separation principles can be developed by using the structure characterization theory of random variables. In particular, we show that these principles can be derived concisely and intuitively by applying the Darmois-Skitovich theorem, which is well known in statistical inference theory and psychology. Some new insights are gained for designing blind source separation filters IS - 3 JF - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] EP - 571 TI - General approach to blind source separation VL - 44 T2 - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] SP - 562 KW - bss KW - overcomplete AU - Cao, Xi-Ren AU - Liu, Ruey-Wen PY - 1996/// UR - http://dx.doi.org/10.1109/78.489029 ER -