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Additive white Gaussian noise

Known as: AWGN, WGN, Gaussian channel 
Additive white Gaussian noise (AWGN) is a basic noise model used in Information theory to mimic the effect of many random processes that occur in… 
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Papers overview

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Highly Cited
2012
Highly Cited
2012
  • Y. Shmaliy
  • IEEE Transactions on Signal Processing
  • 2012
  • Corpus ID: 14792678
The first- and second-order extended finite impulse response (EFIR1 and EFIR2, respectively) filters are addressed for suboptimal… 
Highly Cited
2010
Highly Cited
2010
In this paper, we consider molecular communication, with information conveyed in the time of release of molecules. These… 
Highly Cited
2009
Highly Cited
2009
This paper investigates the tracking performance of continuous-time, multi-input multi-output, linear timeinvariant systems in… 
Highly Cited
2006
Highly Cited
2006
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application… 
Highly Cited
1999
Highly Cited
1999
  • E. Telatar
  • Proceedings. IEEE International Symposium on…
  • 1999
  • Corpus ID: 1053126
We investigate the use of multi-antennas at both ends of a point-to-point communication system over the additive Gaussian channel… 
Review
1991
Review
1991
Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the… 
Highly Cited
1981
Highly Cited
1981
Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point… 
Highly Cited
1975
Highly Cited
1975
This paper describes the concept of adaptive noise cancelling, an alternative method of estimating signals corrupted by additive… 
Highly Cited
1974
Highly Cited
1974
  • P. Bergmans
  • IEEE Transactions on Information Theory
  • 1974
  • Corpus ID: 32689465
Sets of achievable rates for the additive white Gaussian noise broadcast channel have been found by Cover [1] for channels with… 
Highly Cited
1966
Highly Cited
1966
In some communication problems, it is a good assumption that the channel consists of an additive white Gaussian noise forward…