 | Automatic signal detection of radio signals and segmentation |
 | Automatic signal detection of radio signals and segmentation
Efficient pattern recognition algorithms to analyze wideband signal scenarios on radio signals, which fit the interest profile of the user:
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 | Detection: Test whether signals of significant achievement are present in the scenario |
 | Segmenting: Regulation of time and duration of a transmission and the upper and/or lower critical frequency |
 | Parameter estimation: the signal-noise ratio and if necessary also the angle of incidence |
 | Filtering: the detected transmissions on signals, which correspond to the desired profile regarding length of time, frequencies, angle ranges or signal power |
 | Durability: in relation to typical channel features, in particular fading |
 | Input signals: particularly suitable for use in connection with the CCT -Tuner in the scan mode over large frequency ranges. File based processing is equally possible |