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496,200
AWGN = Additive White Gaussian Noise
"... This study presents an analysis of the delay performance of the CCSDS File Delivery Protocol (CFDP) over weather-dependent Ka-band channel. The Ka-band channel condition is determined by the strength of the atmospheric noise temperature, which is weather dependent. Noise temperature data collected f ..."
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This study presents an analysis of the delay performance of the CCSDS File Delivery Protocol (CFDP) over weather-dependent Ka-band channel. The Ka-band channel condition is determined by the strength of the atmospheric noise temperature, which is weather dependent. Noise temperature data collected
channel with Additive White Gaussian Noise (AWGN),
"... Abstract: The Bluetooth radio multipath, fading indoor ..."
The estimation of Laplace random vectors in additive white Gaussian noise
- IEEE TRANS. ON SIG. PROC
, 2008
"... This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in additive white Gaussian noise. The MMSE estimator is expressed in closed-form using the generalized incomplete gamma funct ..."
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Cited by 7 (3 self)
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This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in additive white Gaussian noise. The MMSE estimator is expressed in closed-form using the generalized incomplete gamma
Non-data-aided parameter estimation in an additive white Gaussian noise channel
- IEEE Int. Symp. on Inform. Theory
, 2005
"... Abstract — Non-data-aided (NDA) parameter estimation is considered for binary-phase-shift-keying transmission in an additive white Gaussian noise channel. Cramér-Rao lower bounds (CRLBs) for signal amplitude, noise standard deviation, channel reliability constant and bit-error rate are derived and i ..."
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Cited by 1 (0 self)
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Abstract — Non-data-aided (NDA) parameter estimation is considered for binary-phase-shift-keying transmission in an additive white Gaussian noise channel. Cramér-Rao lower bounds (CRLBs) for signal amplitude, noise standard deviation, channel reliability constant and bit-error rate are derived
Efficient Algorithm for Removal of High Density Additive White Gaussian Noise
, 2012
"... Efficient algorithm is proposed for removal of Additive White Gaussian Noise (AWGN) from natural images. The proposed algorithm (PDEBSF) consists of two stages, in first stage non linear fourth order partial differential equation is used to process the noisy image and in second stage bivariate shr ..."
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Efficient algorithm is proposed for removal of Additive White Gaussian Noise (AWGN) from natural images. The proposed algorithm (PDEBSF) consists of two stages, in first stage non linear fourth order partial differential equation is used to process the noisy image and in second stage bivariate
Power Control Schemes For Fading Additive White Gaussian Noise Channels
"... In this paper we propose two novel approaches to the problem of power control for fading, additive white Gaussian noise channels, with side information. The objective in the first scheme is to maximize the capacity of the channel subject to a constraint on the minimum capacity at any given state of ..."
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In this paper we propose two novel approaches to the problem of power control for fading, additive white Gaussian noise channels, with side information. The objective in the first scheme is to maximize the capacity of the channel subject to a constraint on the minimum capacity at any given state
Robust Parametric Modeling of Speech in Additive White Gaussian Noise
"... In estimating the linear prediction coefficients for an autoregressive spectral model, the concept of using the Yule-Walker equations is often invoked. In case of additive white Gaussian noise (AWGN), a typical parameter compensation method involves using a minimal set of Yule-Walker equation evalua ..."
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In estimating the linear prediction coefficients for an autoregressive spectral model, the concept of using the Yule-Walker equations is often invoked. In case of additive white Gaussian noise (AWGN), a typical parameter compensation method involves using a minimal set of Yule-Walker equation
Coding and Capacity for Additive White Gaussian Noise Multi-user Channels with Feedback
, 1979
"... C t · f · d b- f..........,r~er ~ ~e y • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • •••.••••••••••••••• • • • • • ••• ..."
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Cited by 10 (0 self)
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C t · f · d b- f..........,r~er ~ ~e y • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • •••.••••••••••••••• • • • • • •••
5.1.3 Performance of PAM in Additive White Gaussian Noise 7
"... 5.1 Pulse-amplitude Modulation (PAM)............... 3 ..."
NASA Additive White Gaussian Noise Bit Error Rate
, 2004
"... Energy per information bit over noise spectral density ratio Data frame length ..."
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Energy per information bit over noise spectral density ratio Data frame length
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