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Open Access Signal processing via sampled-data control theory

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Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled, the values from the discrete, sampled points are kept while the information between the sampled points is lost. Various techniques have been developed over the years to recover this lost data, but the results remain incomplete. Professor Yutaka Yamamoto's research is focused on improving how we can recover or reconstruct the original analogue data.
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Keywords: ANALOGUE CHARACTERISTICS; DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL RECONSTRUCTION; OPTIMALLY CONTROLLING SIGNALS; OPTIMALLY RECONSTRUCTING SIGNALS; SAMPLING POINTS

Document Type: Research Article

Publication date: April 1, 2020

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