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The first difficulty lies in choosing the physiological signals representation and in particular the electroencephalogram (EEG).
The spectrogram is suitable for multicomponent signals representation, since it does not produce cross-terms.
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As mentioned earlier, these domain knowledge questions assessed development of learners' Representational Competence in the topic of Signal Representation from a course on Signals and Systems.
A summation of sine waves is used for signal representation.
A modification for multicomponent signal representation is proposed, as well.
(b) Resulting signal representation after applying optimal kernel.
In this section, we introduce signal representation concepts needed subsequently.
A novel signal representation using fuzzy mathematical morphology is developed.
Many sparse signal representation (SSR) algorithms have been developed in the past decade.
Fig. 2 Screenshot of the Simulation applet developed on Signal representation.
The mathematical signal representation and brief overview of pilot-assisted CE schemes are presented next.
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