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DTSTART:20260308T030000
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DTSTART:20251102T010000
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DTSTAMP:20251118T090315Z
UID:0D77A754-A81F-4F7C-BD3C-00091005F7A0
DTSTART;TZID=America/Los_Angeles:20251113T123000
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DESCRIPTION:Technical seminar by Professor Antonio Liscidini from Universit
 y of Toronto with the following abstract:\n\nIn this talk\, we’ll delve 
 into some fundamental aspects of signal processing to understand how they 
 will shape the future of IC mixed-signal design.\n\nIn the first part of t
 he lecture\, we’ll compare power efficiency and technology evolution\, d
 iscussing the dualism of analog/digital and voltage/time in terms of signa
 l processing and dynamic range achievable.\n\nIn the second part of the pr
 esentation\, we’ll explore two examples of how analog mixed-signal can a
 chieve the flexibility of digital signal processing while maintaining high
 er speed and power efficiency. We’ll present a novel topology of a MAC a
 nalog accelerator for digital computation in AI and a quantized analog TX 
 for 5G wireless communication that exploits a power-scalable band-pass RF 
 DAC. These solutions outperform the state of the art and suggest new direc
 tions for future development in mixed-signal computation and software-defi
 ned analog front-ends.\n\nSpeaker(s): Antonio Liscidini\, \n\nRoom: MCLD 3
 038\, Bldg: Macleod Building\, 2356 Main Mall\, Vancouver\, British Columb
 ia\, Canada\, V6T 1Z4
LOCATION:Room: MCLD 3038\, Bldg: Macleod Building\, 2356 Main Mall\, Vancou
 ver\, British Columbia\, Canada\, V6T 1Z4
ORGANIZER:shahriar@ece.ubc.ca
SEQUENCE:17
SUMMARY:Trends in Analog Mixed Signal Circuits from 5G to AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/512753
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Technical seminar by Professor &lt;span lang=
 &quot;IT&quot;&gt;Antonio Liscidini from University of Toronto with the following abstr
 act:&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;In this talk\, we
 &amp;rsquo\;ll delve into some fundamental aspects of signal processing to und
 erstand how they will shape the future of IC mixed-signal design.&lt;/span&gt;&lt;/
 p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;span lang=&quot;EN-U
 S&quot;&gt;In the first part of the lecture\, we&amp;rsquo\;ll compare power efficienc
 y and technology evolution\, discussing the dualism of analog/digital and 
 voltage/time in terms of signal processing and dynamic range achievable.&lt;/
 span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;span lan
 g=&quot;EN-US&quot;&gt;In the second part of the presentation\, we&amp;rsquo\;ll explore tw
 o examples of how analog mixed-signal can achieve the flexibility of digit
 al signal processing while maintaining higher speed and power efficiency. 
 We&amp;rsquo\;ll present a novel topology of a MAC analog accelerator for digi
 tal computation in AI and a quantized analog TX for 5G wireless communicat
 ion that exploits a power-scalable band-pass RF DAC. These solutions outpe
 rform the state of the art and suggest new directions for future developme
 nt in mixed-signal computation and software-defined analog front-ends.&lt;/sp
 an&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
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