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Additive white Gaussian noise
Known as:
AWGN
, WGN
, Gaussian channel
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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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Related topics
Related topics
31 relations
Bandwidth (signal processing)
Channel (communications)
Channel capacity
Constant false alarm rate
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Suboptimal FIR Filtering of Nonlinear Models in Additive White Gaussian Noise
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…
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Highly Cited
2010
Highly Cited
2010
Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel
K. Srinivas
,
A. Eckford
,
R. Adve
IEEE Transactions on Information Theory
2010
Corpus ID: 8543405
In this paper, we consider molecular communication, with information conveyed in the time of release of molecules. These…
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Highly Cited
2009
Highly Cited
2009
Tracking under additive white Gaussian noise effect
Li Ding
,
Houneng Wang
,
Z. Guan
,
Jie Chen
Asian Control Conference
2009
Corpus ID: 32201988
This paper investigates the tracking performance of continuous-time, multi-input multi-output, linear timeinvariant systems in…
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Highly Cited
2006
Highly Cited
2006
Performance measurement in blind audio source separation
E. Vincent
,
R. Gribonval
,
C. Févotte
IEEE Transactions on Audio, Speech, and Language…
2006
Corpus ID: 9882068
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application…
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Highly Cited
1999
Highly Cited
1999
On the capacity of multi-antenna Gaussian channels
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…
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Review
1991
Review
1991
Elements of Information Theory
T. Cover
,
Joy A. Thomas
1991
Corpus ID: 190432
Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the…
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Highly Cited
1981
Highly Cited
1981
Determining Optical Flow
Berthold K. P. Horn
,
B. G. Schunck
Other Conferences
1981
Corpus ID: 1371968
Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point…
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Highly Cited
1975
Highly Cited
1975
Adaptive noise cancelling: Principles and applications
B. Widrow
,
J. Glover
,
+6 authors
R. Goodlin
Proceedings of the IEEE
1975
Corpus ID: 16574996
This paper describes the concept of adaptive noise cancelling, an alternative method of estimating signals corrupted by additive…
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Highly Cited
1974
Highly Cited
1974
A simple converse for broadcast channels with additive white Gaussian noise (Corresp.)
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…
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Highly Cited
1966
Highly Cited
1966
A coding scheme for additive noise channels with feedback-I: No bandwidth constraint
J. Schalkwijk
,
T. Kailath
IEEE Transactions on Information Theory
1966
Corpus ID: 29598137
In some communication problems, it is a good assumption that the channel consists of an additive white Gaussian noise forward…
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