Results 11 to 20 of about 144,869 (263)
Deep Learning-Based SNR Estimation
IEEE Open Journal of the Communications SocietyThe signal-to-noise ratio (SNR) is an important metric for measuring signal quality and its estimation has received widespread attention in various application scenarios.
Shilian Zheng +5 more
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Blind SNR estimation based on cyclostationarity
Tongxin xuebao, 2006 Upsampling and shaping filtering introduce the cyclostationarity of transmit signals. Based on the cyclosta-tionary statistics of signals, a blind SNR estimator in AWGN channel was proposed.
HUA Meng, ZHU Jin-kang, GONG Ming
doaj +3 more sources
A priori SNR estimation and noise estimation for speech enhancement. [PDF]
EURASIP J Adv Signal Process, 2016 A priori signal-to-noise ratio (SNR) estimation and noise estimation are important for speech enhancement. In this paper, a novel modified decision-directed (DD) a priori SNR estimation approach based on single-frequency entropy, named DDBSE, is proposed.
Yao R, Zeng Z, Zhu P.
europepmc +4 more sources
Entropy-Based Non-Data-Aided SNR Estimation [PDF]
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 A non-data-aided SNR estimation of a communication channel is addressed in this paper. The main contribution relies on the relationship between an entropy measure of a given constellation and the link quality. The main advantage is that the second order Rényi entropy is invariant to the rotation of the constellation and it is not envelope-based as the ...
Cabrera Estanyol, Ferran de +1 more
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SNR Estimation in Linear Systems With Gaussian Matrices [PDF]
IEEE Signal Processing Letters, 2017 This paper proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation.
Mohamed A. Suliman +3 more
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An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation [PDF]
, 2018 In this work we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation.
Badiu, Mihai-Alin +3 more
core +2 more sources
Distance Estimate of Tycho’s SNR
Journal of Physics: Conference Series, 2018 5 pages, 2 figures, conference PhysicA.SPb ...
Kozlova, A. V., Blinnikov, S. I.
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Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal [PDF]
Xibei Gongye Daxue Xuebao, 2018 Time reversal technique is applied to the DOA estimation of a shallow sea target, and a method based on active time reversal (ATR) is proposed to achieve correct estimation under multipath and low signal-to-noise (SNR) conditions. Combining the classical
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Significant Wave Height Estimation Using Multi-Satellite Observations from GNSS-R
Remote Sensing, 2021 This study proposes a significant wave height (SWH) retrieval method based on multi-satellite observations using Global Navigation Satellite System Reflectometry (GNSS-R).
Lingyu Qin, Ying Li
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IET Communications, 2023 Orthogonal frequency division multiplexing (OFDM) technology has been increasingly applied to power line carrier communication (PLC). Discrete Fourier Transformation (DFT)‐based channel estimation algorithm is suitable for OFDM‐based PLC due to its low ...
Gao Fan +7 more
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