Title :
On the optimal linear feature (Corresp.)
fDate :
9/1/1978 12:00:00 AM
Abstract :
The problem of finding the linear scalar feature that minimizes the probability of error in discriminating between two Gaussian multivariate hypotheses is comidered. A one-dimensional search algorithm to solve this problem is given, improving upon a previous multidimentional theorem.
Keywords :
Feature extraction; Pattern classification; Constraint theory; Equations; Multidimensional systems; Probability density function;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1978.1055919
