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Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples.
Walid Hachem
Eric Moulines
François Roueff
Published in:
IEEE Trans. Inf. Theory (2011)
Keyphrases
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neyman pearson
markov process
markov processes
markov chain
neural network
type ii
stochastic process
stationary distribution
support vector machine
transition probabilities
state space
steady state
data sets
random walk
markov model
multi class
dynamical systems
training set