A sharp upper bound for the probability of error of the likelihood ratio test for detecting signals in white Gaussian noise.
Dominique PastorRoger GayAlbert GroenenboomPublished in: IEEE Trans. Inf. Theory (2002)
Keyphrases
- upper bound
- likelihood ratio test
- error probability
- lower bound
- likelihood ratio
- white gaussian noise
- generalization error
- hypothesis testing
- image denoising
- generalized likelihood ratio test
- signal processing
- worst case
- denoising
- slowly varying
- probability distribution
- sample size
- error rate
- machine learning
- object recognition
- high quality
- image processing