Paper No: 107
Estimator for
Number of Sources using Minimum Description Length Criterion
for Blind Sparse Source Mixtures
Author(s): Radu Balan
Abstract
In this paper I present a Minimum Description Length Estimator for
number of sources in an anechoic mixture of sparse signals. The
criterion is roughly equal to the sum of negative normalized maximum
log-likelihood and the logarithm of number of sources. Numerical
evidence supports this approach and compares favorabily to both the
Akaike (AIC) and Bayesian (BIC) Information Criteria. |
