BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20180311T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20181104T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20180813T230546Z
UID:3A6A57B5-3056-45AE-B8D9-582C713FD9FF
DTSTART;TZID=America/New_York:20180731T183000
DTEND;TZID=America/New_York:20180731T193000
DESCRIPTION:There are many methods in DOA estimation[1][2][3]\, each cateri
 ng to a domain specific requirement. The current method is aimed at lean c
 omputing and leaves the computing band-width to other applications.\n\nThi
 s presenation will show the gold-Fourier-Kaluri(gFK) method and kMUSIC\, a
  novel method for estimating Direction of Arrival (DOA)\n\nfor Classifying
  Multiple SIgnals (κMUSIC) by reducing the spectrum to sum of monochromat
 ic signals or pure tones. This is achieved by\n\nexploiting gFK method for
  providing these phasors at each spectral peak. A complex beam steering ve
 ctor is generated for obtaining the DOA. Results are presented and compare
 d with standard MUSIC for reference and tested with field data for perform
 ance.”\n\nCo-sponsored by: MTT/AP\,  ED/CAS\n\nSpeaker(s): Dr. Kaluri V.
  Ranga Rao\, \n\nAgenda: \n6:00PM: Networking and Buffet Dinner 6:30PM-7:3
 0 PM: Talk/Presentation Free refreshment/dinner will be served at 6:00 PM.
  All are welcome. You don't have to be IEEE member to attend the talk.\n\n
 Room: 202 \, Bldg: ECE Building \, 161 Warren Street\, Newark\, New Jersey
 \, United States\, Newark
LOCATION:Room: 202 \, Bldg: ECE Building \, 161 Warren Street\, Newark\, Ne
 w Jersey\, United States\, Newark
ORGANIZER:akpodar@ieee.org
SEQUENCE:1
SUMMARY:gold-Fourier-Kaluri(gFK) method and kMUSIC methods for estimating D
 irection of Arrival (DOA)
URL;VALUE=URI:https://events.vtools.ieee.org/m/175360
X-ALT-DESC:Description: <br /><p style="font-weight: 400\;">There are many 
 methods in DOA estimation[1][2][3]\, each catering to a domain specific re
 quirement.&nbsp\;The current method is aimed at&nbsp\;<em>lean</em>&nbsp\;
 computing and leaves the computing band-width to other applications.</p>\n
 <p style="font-weight: 400\;">This presenation will show the gold-Fourier-
 Kaluri(gFK) method and kMUSIC\, a&nbsp\;<em>novel</em>&nbsp\;method for es
 timating Direction of Arrival (DOA)</p>\n<p style="font-weight: 400\;">for
  Classifying Multiple SIgnals (<em>&kappa\;</em>MUSIC) by reducing the spe
 ctrum to sum of&nbsp\;<em>monochromatic</em>&nbsp\;signals or pure tones. 
 This is achieved by</p>\n<p style="font-weight: 400\;">exploiting gFK meth
 od for providing these&nbsp\;<em>phasors</em>&nbsp\;at each spectral peak.
  A complex beam&nbsp\;steering vector is generated for obtaining the DOA. 
 Results are presented and compared&nbsp\;with standard MUSIC for reference
  and tested with field data for performance.&rdquo\;</p>\n<p style="font-w
 eight: 400\;">&nbsp\;</p><br /><br />Agenda: <br /><p>6:00PM: Networking a
 nd Buffet Dinner 6:30PM-7:30 PM: Talk/Presentation Free refreshment/dinner
  will be served at 6:00 PM. All are welcome. You don't have to be IEEE mem
 ber to attend the talk.</p>
END:VEVENT
END:VCALENDAR