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Innovation of the sparse sampling of the signal
Innovation of the sparse sampling of the signal
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机译:信号稀疏采样的创新
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摘要
The signal which includes the signal from outside the part space of the signal where the band which it is related with Shannon's theorem is restricted is acquired, approved possibility reconstruction is offered on the other hand. Regarding some features, normal mode rejection process is jointly used supasusanpuringu technique. For example, it is possible to use in order to make the careless volume decrease which is correlated with the information which the normal mode rejection process which utilizes Cadzow algorithm, is sampled. Regarding some features, as for aforementioned normal mode rejection process, until noise of the aforementioned sample is removed sufficiently, it is possible to make the iteration mode where aforementioned normal mode rejection process is iterated. Regarding some features, as for aforementioned normal mode rejection process, the sample where the deck is received, finite innovational rate (FRI) it corresponds to the signal which it possesses, or it corresponds to the approximate signal of the said signal, it converts to other tupple. This disclosure has noise combining normal mode rejection process and nullfication filter modulo regarding some features, it is something regarding fetching information from the signal which supasusanpuringu is done. As for this disclosure, it is something regarding deciding the sampling kernel which is used in order to sample the aforementioned signal on the basis of the noise which is correlated with the aforementioned signal regarding some features. As for this disclosure, it is something regarding deciding the number of samples which it should obtain from the aforementioned signal over the period when it is based on the noise which is correlated with the signal regarding some features. This disclosure is something regarding deciding number of the finite of the signal which is received regarding some features, innovations. Choice figure Drawing 2
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