𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Source number estimation and separation algorithms of underdetermined blind separation

✍ Scribed by ZuYuan Yang; BeiHai Tan; GuoXu Zhou; JinLong Zhang

Book ID
107357402
Publisher
Science in China Press (SCP)
Year
2008
Tongue
English
Weight
728 KB
Volume
51
Category
Article
ISSN
1674-733X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Stability Analysis of Learning Algorithm
Stability Analysis of Learning Algorithms for Blind Source Separation
✍ Shun-ichi Amari; Tian-ping Chen; Andrzej Cichocki πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 226 KB

Recently a number of adaptive learning algorithms have been proposed for blind source separation. Although the underlying principles and approaches are different, most of them have very similar forms. Two important issues remained to be elucidated further: the statistical efficiency and the stabilit

Blind separation of sources: A nonlinear
Blind separation of sources: A nonlinear neural algorithm
✍ Gilles Burel πŸ“‚ Article πŸ“… 1992 πŸ› Elsevier Science 🌐 English βš– 700 KB

In many s(enal processing applications, the s(~nals provided b)' the sensors are mi.vlttres t?/'man), sources. The problem qlseparation t!/'sm#z'es is to ~:vtract the original s~enals fi'om these mixtures...1 new algorithm, based on ideas o/back propagation learning, is proposed.lbr source separatio

Modified Herault–Jutten Algorithms for B
Modified Herault–Jutten Algorithms for Blind Separation of Sources
✍ Andrzej Cichocki; Robert E. Bogner; Leszek MoszczyΕ„ski; Kenneth Pope πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 429 KB

We present several modifications of blind separation adaptive algorithms which have significant advantages over the well-known Herault-Jutten learning algorithm in handling ill-conditioned signals. In particular, the proposed algorithms are more stable and converge to the correct solutions in cases