Blind adaptive separation of wide-band sources
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
A neural network blind separation method based on special frequency bins
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Convolutive blind separation of non-white broadband signals based on a double-iteration method
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Hi-index | 0.08 |
In this paper we show that the Fourier transform can be inverted using only two frequency bins when it is computed over sliding windows with one-point delay and the window length is less than the number of frequencies. This two conditions allow to recover the time-domain signal by multiplying the frequency-domain signal times a 2 × 2 invertible matrix. We also show how this result can be used to separate convolutive mixtures of signals with a reduced computational cost.