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Coherent snr estimator performance
IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004, 2005Signal-to-noise ratio (SNR) is an important system parameter in mobile communication systems and other advanced communication systems. Coherent and noncoherent SNR estimators can be used to dynamically estimate SNR. In this paper, a coherent SNR estimator is proposed and its performance is provided.
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A Simple and Effective Framework for a Priori SNR Estimation
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018The problem of estimating the a priori signal-to-noise ratio (SNR) for single-channel speech enhancement is addressed. Similar to the decision-directed approach we linearly combine the maximum likelihood estimate of the a priori SNR with an estimate obtained from the previous frame. Based on the harmonic model for voiced speech we propose to smooth the
Johannes Stahl 0003, Pejman Mowlaee
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Improved SNR Estimation Algorithm
2017 International Conference on Computer Systems, Electronics and Control (ICCSEC), 2017As for several NDA SNR estimation algorithm for QPSK signal, their SNR estimation performance is poor. This article puts forward an improved low complexity SNR estimation algorithm to improve the SNR estimation range and accuracy. The mean, bias and variance of the new algorithm are simulated.
Xu Qun, Zhou Jian
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Generalized Moment-Based Method for SNR Estimation
2007 IEEE Wireless Communications and Networking Conference, 2007This paper investigates non-data-aided (NDA) SNR estimation for QAM transmission over additive white Gaussian noise channels. It proposes a novel class of moment-based SNR estimators. This class is found to be a generalization of the well-known moment-based M2M4 SNR estimation method for PSK modulation.
Mohammed Bakkali +2 more
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A Blind SNR Estimator for Digital Bandpass Signals
2006 6th International Conference on ITS Telecommunications, 2006A subspace-based blind signal-to-noise ratio (SNR) estimation algorithm for digital bandpass signals in additive white Gaussian noise (AWGN) channel is developed in this paper. The eigenvector decomposition of the sample correlation matrix of the received signals is performed first, then the signal subspace dimension is determined, the power of the ...
Dan Sui, Lindong Ge
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On the impact of SNR estimation error on adaptive modulation
IEEE Communications Letters, 2005In this letter we investigate the impact of signal-to-noise ratio (SNR) estimation on the performance of adaptive modulation. The adaptive modulation technique uses an estimate of the SNR at the receiver to choose a modulation scheme so that a given performance target is met.
Maruf Mohammad, R. Michael Buehrer
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Improved a priori snr estimation in speech enhancement
2017 23rd Asia-Pacific Conference on Communications (APCC), 2017In this paper, a modified a priori SNR estimation method with application in speech enhancement is presented. The decision directed (DD) approach for the a priori SNR estimation has been the most popular method due to its ability to eliminate musical noise in speech enhancement. However, a limitation of this method is the slow tracking of speech onsets
Lara Nahma +3 more
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An SNR-Assisted Crosstalk Channel Estimation Technique
2009 IEEE International Conference on Communications, 2009In this paper, we present a new method to estimate the crosstalk channels in VDSL systems, allowing to implement well-known pre-compensation schemes. As opposed to previously presented methods, this estimation only requires minimal changes to the current standard and equipments.
Jérôme Louveaux +5 more
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SNR mismatch and online estimation in turbo decoding
IEEE Transactions on Communications, 1998Iterative decoding of turbo codes, as well as other concatenated coding schemes of similar nature, requires knowledge of the signal-to-noise ratio (SNR) of the channel so that proper blending of the a posteriori information of the separate decoders is achieved.
Todd A. Summers, Stephen G. Wilson
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On the Efficiency of SNR Estimation via Birnbaum's Method
IEEE Transactions on Aerospace and Electronic Systems, 2017The problem of signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model when independent sequences of noisy signal and pure noise measurements are available is considered from the perspective of Birnbaum's sequential sampling method, which transforms the observed signal and noise sequences into a single sequence of Bernoulli ...
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