BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Shanghai
BEGIN:STANDARD
DTSTART:19910915T010000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
TZNAME:CST
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END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260803T031311Z
UID:159C2FE5-D1C0-45E4-93DD-FD07E1C1B44D
DTSTART;TZID=Asia/Shanghai:20260727T100000
DTEND;TZID=Asia/Shanghai:20260727T110000
DESCRIPTION:We apply neural networks for compensation of nonlinearities fro
 m a gamut of device impairments: laser phase noise\, digital-to-analog con
 verters quantization\, power amplifier saturation\, micro-ring modulator n
 onlinearity\, etc. We propose solutions spanning direct and coherent detec
 tion with neural networks with various structures and complexity.\n\nSpeak
 er(s): Leslie\, \n\nRoom: Room 501\, Bldg: Information Building (信息大
 楼)\, Lishui Road 2279 (丽水路2279号)\, Xili University Town\, Nansha
 n District\, Shenzhen\, Guangdong\, China
LOCATION:Room: Room 501\, Bldg: Information Building (信息大楼)\, Lishu
 i Road 2279 (丽水路2279号)\, Xili University Town\, Nanshan District\,
  Shenzhen\, Guangdong\, China
ORGANIZER:anfw@sustech.edu.cn
SEQUENCE:23
SUMMARY:Mitigating Component Nonlinearity Across a Wide Palette of Neural N
 etworks
URL;VALUE=URI:https://events.vtools.ieee.org/m/568931
X-ALT-DESC:Description: <br /><p><span lang="EN-US" style="font-size: 11.0p
 t\; font-family: 'Arial'\,sans-serif\; mso-fareast-font-family: Arial\; \;
 mso-ansi-language: EN-US\; mso-fareast-language: ZH-CN\; mso-bidi-language
 : AR-SA\;">We apply neural networks for compensation of nonlinearities fro
 m a gamut of device impairments: laser phase noise\, digital-to-analog con
 verters quantization\, power amplifier saturation\, micro-ring modulator n
 onlinearity\, etc. We propose solutions spanning direct and coherent detec
 tion with neural networks with various structures and complexity.</span></
 p>
END:VEVENT
END:VCALENDAR