Results 251 to 260 of about 36,429 (287)
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The NDA SNR estimation for QAM signals
14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., 2004This paper proposes a non-data-aided (NDA) SNR estimation algorithm for QAM signals in additive Gauss white noise channel and on the condition of the equivalent priori probabilities of every constellation signals by using second statistics. The detail analysis and computer simulation for 128QAM signals have been done.
Hua Xu, Qishan Huang, Hui Zheng
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Non data-aided SNR estimation of OFDM signals
International audienceThis letter deals with the problem of non data aided (NDA) signal to noise ratio (SNR) estimation of OFDM signals transmitted through unknown multipath fading channel.
François-Xavier Socheleau +2 more
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Limitations on SNR estimator accuracy
IEEE Transactions on Signal Processing, 2002We consider the samples of a pure tone in additive white Gaussian noise (AWGN) for which we wish to determine the signal-to-noise ratio (SNR) defined here to be /spl alpha/=(A/sup 2//2/spl sigma//sup 2/), where A is the tone amplitude, and /spl sigma//sup 2/ is the noise variance.
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A comparison of SNR estimation techniques in the AWGN channel
IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings, 2000We investigate the performance of various signal-to-noise power ratio (SNR) estimation techniques reported in the literature. The search for the best SNR estimator is undertaken by the software simulation of a baseband, binary PAM signal in an AWGN channel.
David R. Pauluzzi, Norman C. Beaulieu
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SNR Estimation with Heterogeneous Frames
2008 4th Advanced Satellite Mobile Systems, 2008We study the problem of estimating the signal-to noise ratio (SNR) in linearly modulated systems. It is assumed that the frame of observations consists of several subframes, so that the symbols in different subframes are drawn from different constellations.
Marcos Alvarez-Diaz +2 more
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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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A Data-Driven Approach to A Priori SNR Estimation
IEEE Transactions on Audio, Speech, and Language Processing, 2011The a priori signal-to-noise ratio (SNR) plays an important role in many speech enhancement algorithms. In this paper, we present a data-driven approach to a priori SNR estimation. It may be used with a wide range of speech enhancement techniques, such as, e.g., the minimum mean square error (MMSE) (log) spectral amplitude estimator, the super Gaussian
Suhadi Suhadi +2 more
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Comparison of four SNR estimators for QPSK modulations
IEEE Communications Letters, 2000Four signal-to-noise ratio (SNR) estimators for quaternary phase-shift keying (QPSK)-like signaling are proposed and examined. Two are based on receiver statistics directly related to the SNR while two others are based on receiver statistics inversely related to the SNR.
Norman C. Beaulieu +2 more
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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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