M. Joho, H. Mathis, and R.H. Lamber. Overdetermined blind source separation: using more sensors than source signals in a noisy mixture. In Proc. of ICA 2000. Home/Search Document Details and Download
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Unbiased Blind Separation Using the Threshold Nonlinearity - Mathis, Joho (2001) Self-citation (Joho Mathis) (Correct)
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M. Joho, H. Mathis, and R. H. Lambert, "Overdetermined blind source separation: Using more sensors than source signals in a noisy mixture," in Proc. International Conference on Independent Component Analysis and Blind Signal Separation, Helsinki, Finland, June 19--22, 2000, pp. 81--86.
Joint Diagonalization of Correlation Matrices by Using.. - Joho, Mathis (2002) (3 citations) Self-citation (Joho Mathis) (Correct)
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M. Joho, H. Mathis, and R. H. Lambert, "Overdetermined blind source separation: Using more sensors than source signals in a noisy mixture," in Proc. ICA, Helsinki, Finland, June 19--22, 2000, pp. 81--86.
Unbiased Blind Separation Using the Threshold Nonlinearity - Mathis, Joho (2001) Self-citation (Joho Mathis) (Correct)
....and noise figure and as such equal but mutually uncorrelated for all the channels. Furthermore, the noise power # 2 N is presumed to be known, be that from theoretical calculations of thermal noise or by estimating it, e.g. using minor component analysis in an overdetermined separation case [7]. For identical distributions of all signals, Eq. 10) can be simplified to W t 1 =W # I g(u)u T # 2 N bW W T # W t (19) where b = E # g (u) # . 20) For the uniform distribution, which is a good approximation for M ary distributions where M is high, with unit variance, ....
....signals from other channels or thermal noise. This is of course only the case if channels are not jointly detected. For single channel detection, the proper criterion to choose is the minimum mean squared error (MMSE) If we have a zero forcing solution W ZF we can, by looking at the MMSE solution [7] W MMSE = A T (A T A T # 2 n I) 1 (25) reformulate the MMSE solution in terms of the zero forcing solution. To this end we note that the zero forcing solution is the inverse of the system matrix but for some permutation W MMSE = PA 1 . 26) Using (26) in (25) leads to W MMSE = ....
M. Joho, H. Mathis, and R. H. Lambert, "Overdetermined blind source separation: Using more sensors than source signals in a noisy mixture," in Proc. International Conference on Independent Component Analysis and Blind Signal Separation, Helsinki, Finland, June 19--22, 2000, pp. 81--86.
Quadratic Independent Component Analysis - Theis, Nakamura (2004) (Correct)
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M. Joho, H. Mathis, and R.H. Lamber. Overdetermined blind source separation: using more sensors than source signals in a noisy mixture. In Proc. of ICA 2000.
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