IT819
Course Name:
Blind Signal and Image Processing (IT819)
Programme:
M.Tech (IT)
Category:
Elective Courses (Ele)
Credits (L-T-P):
(3-0-0) 3
Content:
Introduction to Blind Signal and Image Processing: Principal Component 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; Research Trends.
References:
A.Cichocki, S. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithms & Applications, John Wiley, 2002
Hyvarinen, J. Karhunen, E. Oja, Independent Component Analysis, John Wiley, 2001
C S. Roberts, 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