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Many efforts have been made to fuse reflectance spectrum signals and dynamic model to estimate land surface parameters from remotely sensed data more accurately as well as capture the continuous features of land surface parameters. This paper proposed a dynamic Bayesian networks (DBNs) data fusion algorithm to retrieve vegetation structural parameters by integrating multi-source information, such...
The problem of iterative detection/decoding of data symbols transmitted over an additive white Gaussian noise (AWGN) channel in the presence of phase uncertainty is addressed in this paper. By modelling the phase uncertainty either as an unknown deterministic variable/process or random variable/ process with a known a priori probability density function, a number of non-Bayesian and Bayesian detection...
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