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DTSTAMP:20170606T105257Z
UID:1E9695C0-49FF-11E7-8752-0050568D2FB3
DTSTART;TZID=Canada/Pacific:20170608T090000
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DESCRIPTION:The Cramér-Rao (CR) lower bound is ubiquitous in signal proces
 sing and communications\, finding application in wireless communications\,
  optical communications\, RF engineering\, data communications\, speech an
 d image processing and biomedical engineering\, for example. It is the uni
 versal measure of the goodness of an estimator or a predictor in these fie
 lds\, and it is considered fundamental in mathematical statistics. Of a pl
 ethora of application areas\, we mention only channel state prediction\, s
 ignal-to-noise ratio\, mean-square-error\, symbol and frame estimation\, a
 s well as carrier phase\, carrier frequency\, and carrier amplitude estima
 tions. Yet\, the Cramér-Rao lower bound has severe limitations and shortc
 omings. Despite these disadvantages\, the CR bound continues to find wides
 pread application as the quality measure of choice in prediction\, estimat
 ion and detection research and in engineering practice. This is probably b
 ecause known alternatives to the CR bound are considered highly complex an
 d are thought to be much less simple to apply to practical problems in pre
 diction\, estimation and detection. The CR bound is universally expressed 
 in discrete time with the number of “independent samples” as a paramet
 er. Meanwhile\, the number of independent samples is dictated (and without
  compromise) by the bandwidth and the frequency characteristic of the filt
 ering in the circuitry\, and the performance of the CR bound is dependent 
 on the signal characteristics.\n\nSpeaker(s): Professor Norman Beaulieu\, 
 \, Professor Norman Beaulieu\, \n\nRoom: 1151\, Bldg: EME\, 3333 Universit
 y Way The University of British Columbia (Okanagan Campus) Kelowna\, BC\, 
 Canada\, Kelowna\, British Columbia\, Canada\,  V1V 1V7
LOCATION:Room: 1151\, Bldg: EME\, 3333 University Way The University of Bri
 tish Columbia (Okanagan Campus) Kelowna\, BC\, Canada\, Kelowna\, British 
 Columbia\, Canada\,  V1V 1V7
ORGANIZER:Julian.Cheng@ubc.ca
SEQUENCE:4
SUMMARY:A New Cramér-Rao Bound for White Gaussian Noise
URL;VALUE=URI:https://events.vtools.ieee.org/m/45794
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The Cram&amp;eacute\;r-Rao (CR) lower bound is
  ubiquitous in signal processing and communications\, finding application 
 in wireless communications\, optical communications\, RF engineering\, dat
 a communications\, speech and image processing and biomedical engineering\
 , for example. It is the universal measure of the goodness of an estimator
  or a predictor in these fields\, and it is considered fundamental in math
 ematical statistics. Of a plethora of application areas\, we mention only 
 channel state prediction\, signal-to-noise ratio\, mean-square-error\, sym
 bol and frame estimation\, as well as carrier phase\, carrier frequency\, 
 and carrier amplitude estimations. Yet\, the Cram&amp;eacute\;r-Rao lower boun
 d has severe limitations and shortcomings. Despite these disadvantages\, t
 he CR bound continues to find widespread application as the quality measur
 e of choice in prediction\, estimation and detection research and in engin
 eering practice. This is probably because known alternatives to the CR bou
 nd are considered highly complex and are thought to be much less simple to
  apply to practical problems in prediction\, estimation and detection. The
  CR bound is universally expressed in discrete time with the number of &amp;ld
 quo\;independent samples&amp;rdquo\; as a parameter. Meanwhile\, the number of
  independent samples is dictated (and without compromise) by the bandwidth
  and the frequency characteristic of the filtering in the circuitry\, and 
 the performance of the CR bound is dependent on the signal characteristics
 .&lt;/p&gt;
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