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In this paper, we develop an approach for blind recognition of the coding parameters of a communication system which uses binary cyclic codes.
Pattern recognition of correlations among the parameters was summarized by PCA.
The early recognition of the changing clinical parameters of disease, multidisciplinary support, and specialist intensive care is required for the survival of this rate group of patients and their children.
The blind recognition of communication parameters of these systems is an important research topic in the non-cooperative scenario, which has attracted more and more attention recently.
The main influencing factor of recognition performance is the parameters used in SVM.
Literature [4] also considers the blind recognition of coding parameters based on soft decisions.
There are some outcomes beneficial to our application when the experimental design is utilized (Antony 2003; Montgomery 2002): 1. Recognition of input parameters and output results.
After recognition of the roles of the effective parameters influencing the initiation of a spontaneous combustion, a series of intrinsic, geological, and mining characteristics of coal seams are investigated.
Recognition of input parameters and output results.
Recognition of uncertain parameters There is a variety of uncertain variables (factors) in building a conceptual reservoir model as needed in a well-testing diagnosis problem.
The well testing method consists of two stages: (1) the recognition of the reservoir model, and (2) the parameter estimation.
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