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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Pacific/Auckland
BEGIN:DAYLIGHT
DTSTART:20260927T030000
TZOFFSETFROM:+1200
TZOFFSETTO:+1300
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=9
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DTSTART:20260405T020000
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BEGIN:VEVENT
DTSTAMP:20260804T031124Z
UID:2AEC5B55-946E-4C48-BA7A-CD37C6C56ADA
DTSTART;TZID=Pacific/Auckland:20260909T173000
DTEND;TZID=Pacific/Auckland:20260909T183000
DESCRIPTION:Digital multi-beamforming is a crucial requirement in modern wi
 reless communication\, navigation\, and radar applications\, where highly 
 directional communication is enabled through antenna arrays. Such antenna 
 array-based receivers employ digital signal processing backends\, often im
 plemented on field programmable gate array (FPGA) based platforms to produ
 ce multi-beam array response patterns. This talk presents recent research 
 findings incorporating approximate trigonometric transforms in conjunction
  with approximate computing units on FPGAs to provide low complexity DSP b
 ack-ends for multi-beamforming arrays. The presentation will show how appr
 oximations can be employed at both algorithmic and computing levels to sig
 nificantly reduce the hardware complexity while maintaining acceptable bea
 mforming performance.\n\nSpeaker(s): Chamith Wijenayake\, \n\nVirtual: htt
 ps://events.vtools.ieee.org/m/570065
LOCATION:Virtual: https://events.vtools.ieee.org/m/570065
ORGANIZER:thiaza.thasthakeer@gmail.com
SEQUENCE:34
SUMMARY:Low-Complexity Digital Multi-Beamforming Using Approximate Computin
 g
URL;VALUE=URI:https://events.vtools.ieee.org/m/570065
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Digital multi-beamforming is a crucial req
 uirement in modern wireless communication\, navigation\, and radar applica
 tions\, where highly directional communication is enabled through antenna 
 arrays. Such antenna array-based receivers employ digital signal processin
 g backends\, often implemented on field programmable gate array (FPGA) bas
 ed platforms to produce multi-beam array response patterns. This talk pres
 ents recent research findings incorporating approximate trigonometric tran
 sforms in conjunction with approximate computing units on FPGAs to provide
  low complexity DSP back-ends for multi-beamforming arrays. The presentati
 on will show how approximations can be employed at both algorithmic and co
 mputing levels to significantly reduce the hardware complexity while maint
 aining acceptable beamforming performance.&amp;nbsp\;&lt;/p&gt;
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