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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
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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2009
2009
Optimal tracking over an additive white Gaussian noise channel
Yiqian Li
,
E. Tuncel
,
Jie Chen
American Control Conference
2009
Corpus ID: 22759349
This paper studies the optimal reference tracking problems of finite-dimensional, linear, time-invariant (LTI) systems with an…
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Highly Cited
2008
Highly Cited
2008
The Estimation of Laplace Random Vectors in Additive White Gaussian Noise
I. Selesnick
IEEE Transactions on Signal Processing
2008
Corpus ID: 16783739
This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically…
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2004
2004
On Reliable Communication over Additive White Gaussian Noise Relay Channels
A. Gamal
,
M. Mohseni
,
S. Zahedi
2004
Corpus ID: 14112150
Upper and lower bounds on the capacity and minimum energy-per-bit for general additive white Gaussian noise (AWGN) and frequency…
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2002
2002
Shaping gain of the partially coherent additive white Gaussian noise channel
P. Hou
,
B. Belzer
,
T. Fischer
IEEE Communications Letters
2002
Corpus ID: 13178316
We derive necessary conditions on the channel input and output probability density functions (PDFs) to achieve channel capacity…
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Highly Cited
2002
Highly Cited
2002
Lattice-reduction-aided detectors for MIMO communication systems
H. Yao
,
G. Wornell
Global Telecommunications Conference, . GLOBECOM…
2002
Corpus ID: 14616548
Lattice-reduction (LR) techniques are developed for enhancing the performance of multiple-input multiple-output (MIMO) digital…
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Highly Cited
2000
Highly Cited
2000
Combined source-channel coding schemes for video transmission over an additive white Gaussian noise channel
M. Bystrom
,
J. Modestino
IEEE Journal on Selected Areas in Communications
2000
Corpus ID: 9352348
There has been an increased interest in the transmission of digital video over real-world transmission media, such as the direct…
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Highly Cited
1991
Highly Cited
1991
On the error probability of signals in additive white Gaussian noise
B. Hughes
IEEE Transactions on Information Theory
1991
Corpus ID: 34719960
A new upper bound to the probability of error in detecting one of M equally probable signals in additive white Gaussian noise is…
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Highly Cited
1991
Highly Cited
1991
Acoustical and environmental robustness in automatic speech recognition
A. Acero
1991
Corpus ID: 14680303
This dissertation describes a number of algorithms developed to increase the robustness of automatic speech recognition systems…
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