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Schmahmann [ 45] theorizes a universal cerebellar transform, which facilitates automatic modulation of behavior around a homeostatic baseline, where the behavior being modulated is determined by the specificity of anatomic subcircuits within the cerebrocerebellar system.
Auto-focusing refers to the automatic modulation of the focal length with the distance from the subject.
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All high threshold detections and all automatic modulations of pacing output were adjudicated appropriate.
Employing adaptive techniques, Liedtke [16] proposed an adaptive procedure for automatic modulation recognition of radio signals with a priori unknown parameters.
In [20], Pedzisz and Mansour derived and analyzed a new pattern recognition approach for automatic modulation recognition of M-PSK signals in broadband Gaussian noise.
Hence, the research of automatic modulation recognition (AMR) of digital signals should be pay more attention.
Automatic modulation classification (AMC) is of an utmost importance in this band for the purpose of communications monitoring; e.g., signal intelligence and spectrum management.
Some literature on the subject of automatic modulation classification based on cyclic spectrum analysis is summarized in[39].
Automatic modulation classification (AMC) is the process of identifying modulation type of a detected signal without prior information.
An automatic modulation classifier (AMC) is an essential part of a multi-standard communication system as it allows blind detection of the modulation schemes present in the received signal.
In the past few years, this concept has been successfully applied in the solution of various engineering problems, e.g., automatic modulation classification [19], prediction method for network traffic [20], adaptive filtering [21], and face recognition [22].
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