IT910

Course Name: 

Adaptive Blind Signal & Image Processing (IT910)

Programme: 

Ph.D

Credits (L-T-P): 

4

Content: 

Introduction to Blind Signal and Image Processing: PrincipalComponent analysis (PCA), Blind Source Separation (BSS) and Independent Component Analysis (ICA), BSS of Instantaneous and Convolutive Mixtures, Sequential Blind Signal Extraction, Robust BSS/ICA with noisy data; Learning Algorithms for Estimation of Sources; Applications: Audio, Speech, Image and Biomedical Signal Processing.

References: 

A.Cichocki and S. Amari, "Adaptive Blind Signal and Image Processing: Learning Algorithms & Applications", John Wiley, 2002
Hyvarinen, J. Karhunen, and E. Oja, "Independent Component Analysis", John Wiley, 2001
C S. Roberts and R. Everson, "Independent Components Analysis: Principles and Practice", Cambridge University Press, 2001
A. S. Bregman, "Auditory Scene Analysis", MIT Press, 2nd Edition, 1999
Handbook on Speech Processing and Speech Communication, Springer, 2007

Department: 

Information Technology
 

Contact us

G. Ram Mohana Reddy

Professor and Head,
Department of Information Technology, NITK, Surathkal,
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Ph.:    +91-824-2474056
Email:  infotech[AT]nitk[DOT]ac[DOT]in
            infotech[AT]nitk[DOT]edu[DOT]in

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