@article{(Open Science Index):https://publications.waset.org/pdf/13722,
	  title     = {Blind Source Separation for Convoluted Signals Based on Properties of Acoustic Transfer Function in Real Environments},
	  author    = {Takaaki Ishibashi},
	  country	= {},
	  institution	= {},
	  abstract     = {Frequency domain independent component analysis has
a scaling indeterminacy and a permutation problem. The scaling
indeterminacy can be solved by use of a decomposed spectrum. For
the permutation problem, we have proposed the rules in terms of gain
ratio and phase difference derived from the decomposed spectra and
the source-s coarse directions.
The present paper experimentally clarifies that the gain ratio and
the phase difference work effectively in a real environment but their
performance depends on frequency bands, a microphone-space and
a source-microphone distance. From these facts it is seen that it is
difficult to attain a perfect solution for the permutation problem in a
real environment only by either the gain ratio or the phase difference.
For the perfect solution, this paper gives a solution to the problems
in a real environment. The proposed method is simple, the amount of
calculation is small. And the method has high correction performance
without depending on the frequency bands and distances from source
signals to microphones. Furthermore, it can be applied under the real
environment. From several experiments in a real room, it clarifies
that the proposed method has been verified.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {4},
	  number    = {11},
	  year      = {2010},
	  pages     = {1669 - 1674},
	  ee        = {https://publications.waset.org/pdf/13722},
	  url   	= {https://publications.waset.org/vol/47},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 47, 2010},
	}