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DTSTART:20220327T030000
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DTSTAMP:20211109T213518Z
UID:F8447706-0A3F-4704-A211-462E12A3601D
DTSTART;TZID=Europe/Stockholm:20211110T151500
DTEND;TZID=Europe/Stockholm:20211110T161500
DESCRIPTION:Several efforts of the last decade have demonstrated the abilit
 y of a radio transceiver to simultaneously transmit and receive using the 
 same frequency band – this is commonly referred to as in-band full duple
 x communication.\n\nThis presentation will explore similarity and differen
 ces between the problem of self-interference/signal cancellation in very d
 iverse applications from the perspective of noise\, linearity\, cancellati
 on bandwidth\, convergence of adaptation algorithms and suppression depth.
  Two examples of integrated self-interference cancellation will be present
 ed (i.e.\, for neural interfaces and wireless communication) that define t
 he state-of-the-art with respect to linearity\, noise and the ability to a
 dapt on-chip cancellation filters in real time.\n\nCo-sponsored by: Joachi
 m Rodrigues\n\nSpeaker(s): Prof. Chris Rudell\, \n\nVirtual: https://event
 s.vtools.ieee.org/m/289441
LOCATION:Virtual: https://events.vtools.ieee.org/m/289441
ORGANIZER:jrs@eit.lth.se
SEQUENCE:0
SUMMARY:Distinguished Lecture: On-Chip Self-Interference Cancellation for F
 ull Duplex Radios and Other Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/289441
X-ALT-DESC:Description: <br /><p>Several efforts of the last decade have de
 monstrated the ability of a radio transceiver to simultaneously transmit a
 nd receive using the same frequency band &ndash\; this is commonly referre
 d to as in-band full duplex communication.</p>\n<p>This presentation will 
 explore similarity and differences between the problem of self-interferenc
 e/signal cancellation in very diverse applications from the perspective of
  noise\, linearity\, cancellation bandwidth\, convergence of adaptation al
 gorithms and suppression depth. Two examples of integrated self-interferen
 ce cancellation will be presented (i.e.\, for neural interfaces and wirele
 ss communication) that define the state-of-the-art with respect to lineari
 ty\, noise and the ability to adapt on-chip cancellation filters in real t
 ime.</p>
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