Noisy Component Extraction (NoiCE)

作者：Leong Wai Yie^*; Mandic Danilo P

来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2010, 57(3): 664-671.

DOI：10.1109/TCSI.2009.2024988

• Adaptive cascaded nonlinear estimation
• blind source extraction (BSE)
• blind source separation (BSS)
• noisy mixtures

To achieve efficient blind source extraction (BSE) from noisy mixtures, we propose a noisy component extraction (NoiCE) algorithm that combines standard BSE and a cascaded nonlinear adaptive estimator. There are no assumptions of statistical independence, and also as a byproduct of BSE after deflation, we may also obtain asymptotic identification of the a prioriunknown observation noise sources. By yielding an asymptotically efficient estimator in the presence of an unknown observation noise, the proposed algorithm may also be viewed as a robust approach to NoiCE. Simulations on both synthetic and real-world data confirm the validity of the proposed algorithm in noisy mixing environments.

• 出版日期2010-3