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CRLB under K-distributed observation with parameterized mean
Abstract : A semi closed-form expression of the Fisher information matrix in the context of K-distributed observations with parameterized mean is given and related to the classical, i.e. Gaussian case. This connection is done via a simple multiplicative factor, which only depends on the intrinsic parameters of the texture and the size of the observation vector. Finally, numerical simulation is provided to corroborate the theoretical analysis
Cited literature [16 references]
https://hal.inria.fr/hal-00993010
Contributor : Alexandre Renaux Connect in order to contact the contributor
Submitted on : Monday, May 19, 2014 - 3:04:56 PM
Last modification on : Monday, February 21, 2022 - 3:38:07 PM
Long-term archiving on: : Monday, April 10, 2017 - 11:46:36 PM
Contributor : Alexandre Renaux Connect in order to contact the contributor
Submitted on : Monday, May 19, 2014 - 3:04:56 PM
Last modification on : Monday, February 21, 2022 - 3:38:07 PM
Long-term archiving on: : Monday, April 10, 2017 - 11:46:36 PM
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