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Worst case additive noise for binary-input channels and zero-threshold detection under constraints of power and divergence.
Andrew L. McKellips
Sergio Verdú
Published in:
IEEE Trans. Inf. Theory (1997)
Keyphrases
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additive noise
worst case
noisy images
spatial domain
maximum likelihood
causal inference
stochastic resonance
random variables
upper bound
multiplicative noise
non binary
point spread function
quantization error
speech signal
high quality
image segmentation
computer vision