Title :
Tracking time-varying mixing system in blind separation
Author :
Enescu, Mihai ; Koivunen, Visa
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
This paper addresses the problem of blind separation from time varying noisy mixtures. The goal is to adapt to changes that occur in the mixing system as well as to estimate if the number of sources change over time. This is achieved by using an adaptive predictor corrector structure and subspace tracker. Changes in the array covariance matrix are used in revealing changes in the mixing system. The performance of the algorithm is studied in simulations
Keywords :
adaptive signal processing; array signal processing; covariance matrices; predictor-corrector methods; time-varying systems; tracking; adaptive algorithm; adaptive predictor corrector structure; array covariance matrix; blind source separation; subspace tracker; time-varying mixing system; tracking; Additive noise; Blind source separation; Covariance matrix; Filters; Sensor arrays; Signal processing; Signal processing algorithms; Source separation; Speech enhancement; Time varying systems;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.878016
