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PRODID:IEEE vTools.Events//EN
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TZID:America/Los_Angeles
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DTSTART:20270314T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP:20261113T040850Z
UID:463B0DC6-9687-48C9-80BA-2A6CDB68EE57
DTSTART;TZID=America/Los_Angeles:20261112T170000
DTEND;TZID=America/Los_Angeles:20261112T181500
DESCRIPTION:This lecture will introduce the fundamental challenges in moder
 n wireless transmitters\, from spectrally shaped baseband I/Q modulation t
 o RF power amplification and the potential for nonlinear distortion and sp
 ectral regrowth caused by power amplifiers (PAs). It will explain how RF p
 redistortion (RFPD) compensates for PA nonlinearities to improve transmitt
 er linearity\, reduce spectral regrowth\, and enhance spectral and energy 
 efficiency. The lecture will also explore how meta-learning can enable rap
 id adaptation of predistortion coefficients to changing operating conditio
 ns\, including temperature\, signal bandwidth\, and PA variations. Tailore
 d to students’ technical backgrounds\, the presentation will emphasize p
 ractical applications in Wi-Fi and mobile communications\, emerging wirele
 ss technologies\, and promising directions for future research.\n\nCo-spon
 sored by: Santa Clara University \n\nVirtual: https://events.vtools.ieee.o
 rg/m/591980
LOCATION:Virtual: https://events.vtools.ieee.org/m/591980
ORGANIZER:bdezfouli@scu.edu
SEQUENCE:10
SUMMARY:Enhancing Spectral and Energy Efficiency in Wireless Transmitters: 
 From Baseband I/Q Modulation and RF Power Amplifiers to AI-Assisted Linear
 ization
URL;VALUE=URI:https://events.vtools.ieee.org/m/591980
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;This lecture will introd
 uce the fundamental challenges in modern wireless transmitters\, from spec
 trally shaped baseband I/Q modulation to RF power amplification and the po
 tential for nonlinear distortion and spectral regrowth caused by power amp
 lifiers (PAs). It will explain how RF predistortion (RFPD) compensates for
  PA nonlinearities to improve transmitter linearity\, reduce spectral regr
 owth\, and enhance spectral and energy efficiency. The lecture will also e
 xplore how meta-learning can enable rapid adaptation of predistortion coef
 ficients to changing operating conditions\, including temperature\, signal
  bandwidth\, and PA variations. Tailored to students&amp;rsquo\; technical bac
 kgrounds\, the presentation will emphasize practical applications in Wi-Fi
  and mobile communications\, emerging wireless technologies\, and promisin
 g directions for future research.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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