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DTSTAMP:20230925T161914Z
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DTSTART;TZID=America/New_York:20230922T150000
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DESCRIPTION:In filtering an noisy radar image\, we can encounter the distor
 tion overlapping with the desired information in the time–frequency. Thi
 s is especially true when filtering noise in a radar or SAR image as such 
 there is smearing in the image with the classical discrete Fourier Transfo
 rm. That is there is chirps of much magnitudes overlapping with one anothe
 r to where the radar image appears smeared. To compensate for this quandry
 \, we propose a novel application of Discrete Fractional Fourier Transform
  in in Euclidean space that ascertains optimum angle of rotation in time-f
 requency domain to isolate the noise from rest of signal.\n\nCo-sponsored 
 by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC)\, The DO
 D & DOE Communities\n\nSpeaker(s): Ernest Mitchell\n\nAgenda: \nIn filteri
 ng an noisy radar image\, we can encounter the distortion overlapping with
  the desired information in the time–frequency. This is especially true 
 when filtering noise in a radar or SAR image as such there is smearing in 
 the image with the classical discrete Fourier Transform. That is there is 
 chirps of much magnitudes overlapping with one another to where the radar 
 image appears smeared. To compensate for this quandry\, we propose a novel
  application of Discrete Fractional Fourier Transform in in Euclidean spac
 e that ascertains optimum angle of rotation in time-frequency domain to is
 olate the noise from rest of signal.\n\nVirtual: https://events.vtools.iee
 e.org/m/374724
LOCATION:Virtual: https://events.vtools.ieee.org/m/374724
ORGANIZER:a.j.terzuoli@ieee.org
SEQUENCE:8
SUMMARY:Fractional Integral Transforms and Radar Imaging in Euclidean Space
URL;VALUE=URI:https://events.vtools.ieee.org/m/374724
X-ALT-DESC:Description: <br /><p>In filtering an noisy radar image\, we can
  encounter the distortion overlapping with the desired information in the 
 time&ndash\;frequency. This is especially true when filtering noise in a r
 adar or SAR image as such there is smearing in the image with the classica
 l discrete Fourier Transform. That is there is chirps of much magnitudes o
 verlapping with one another to where the radar image appears smeared. To c
 ompensate for this quandry\, we propose a novel application of Discrete Fr
 actional Fourier Transform in in Euclidean space that ascertains optimum a
 ngle of rotation in time-frequency domain to&nbsp\; isolate the noise from
  rest of signal.</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p>In filter
 ing an noisy radar image\, we can encounter the distortion overlapping wit
 h the desired information in the time&ndash\;frequency. This is especially
  true when filtering noise in a radar or SAR image as such there is smeari
 ng in the image with the classical discrete Fourier Transform. That is the
 re is chirps of much magnitudes overlapping with one another to where the 
 radar image appears smeared. To compensate for this quandry\, we propose a
  novel application of Discrete Fractional Fourier Transform in in Euclidea
 n space that ascertains optimum angle of rotation in time-frequency domain
  to&nbsp\; isolate the noise from rest of signal.</p>\n<p>&nbsp\;</p>
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