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SUMMARY:Signal Processing via Sampled-Data Control - A Challenge to Go Bey
 ond Shannon - Professor Yutaka Yamamoto\, Kyoto University
DTSTART:20140613T130000Z
DTEND:20140613T140000Z
UID:TALK52891@talks.cam.ac.uk
CONTACT:Tim Hughes
DESCRIPTION:There has been remarkable progress in sampled-data control the
 ory in the last two decades. The main achievement here is that there exist
 s a digital (discrete-time) control law that takes the intersample behavio
 r into account and makes the overall analog (continuous-time) performance 
 optimal\, in the sense of H-infinity norm. This naturally suggests its app
 lication to digital signal processing where the same hybrid nature of anal
 og and digital is always prevalent. A crucial observation here is that the
  perfect band-limiting hypothesis\, widely accepted in signal processing\,
  is often inadequate for many practical situations. In practice\, the orig
 inal analog signals (sounds\, images\, etc.) are neither fully band-limite
 d nor even close to be band-limited in the current processing standards. 
 \n\nThe present talk describes how sampled-data control theory can be appl
 ied to reconstruct the lost high-frequency components beyond the so-called
  Nyquist frequency\, and how this new method can surpass the existing sign
 al processing paradigm. We will also review some concrete examples for sou
 nd processing\, recovery of high frequency components for MP3/AAC compress
 ed audio signals\, and super resolution for image (still/moving) processin
 g. We review some commercial success in the production of custom LSI chips
  by SANYO semiconductor (later Onseminconductor) with cumulative productio
 n of more than 50 million chips.
LOCATION:Cambridge University Engineering Department\, LR3
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