Denoising using local projective subspace methods
Neurocomputing
Determining the number of discrete alphabet sources from sensor data
EURASIP Journal on Applied Signal Processing
Non-parametric detection of the number of signals: hypothesis testing and random matrix theory
IEEE Transactions on Signal Processing
| Hi-index | 35.69 |
The minimum description length (MDL) criterion for model selection has been successfully applied to the problem of estimating the number of sources in noise. We show that by employing an order statistics approach in the existing solution, a new processor with uniformly improved performance is constructed at the cost of greater complexity. We prove that the resulting MDL-based processor is consistent. Results of simulations of practical scenarios of interest demonstrate how significant the performance improvement can be