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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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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 +5 more sources
Novel Results on SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
Sensors, 2023 In a previous work of the author about non-data-aided estimation of the signal-to-noise ratio (SNR) for bandlimited optical intensity channels, a couple of limitations have been identified in terms of error performance and computational complexity.
Wilfried Gappmair
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IEEE AccessNoises are commonly present in grayscale images, particularly in Scanning Electron Microscope (SEM) images especially secondary emission noise, which can significantly affect their quality.
Dominic Chee Yong Ong, Kok Swee Sim
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Non-Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
Sensors, 2023 Powerful and reliable estimation of transmission parameters is an indispensable task in each receiver unit—not only for radio frequency, but also for optical wireless communication systems.
Wilfried Gappmair
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Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
Sensors, 2022 Not only for radio frequency but also for optical communication systems, knowledge of the signal-to-noise ratio (SNR) is essential, e.g., for an adaptive network, where modulation schemes and/or error correction methods should be selected according to ...
Wilfried Gappmair
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Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems
Journal of Computer Networks and Communications, 2018 The estimation of signal-to-noise ratio (SNR) is a major issue in wireless orthogonal frequency-division multiplexing (OFDM) system. In OFDM system, each frame starts with a preamble symbol that facilitates the SNR estimation. However, the performance of
Abid Muhammad Khan +5 more
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DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement [PDF]
Interspeech, 2021 Deep complex convolution recurrent network (DCCRN), which extends CRN with complex structure, has achieved superior performance in MOS evaluation in Interspeech 2020 deep noise suppression challenge (DNS2020).
Shubo Lv +3 more
semanticscholar +1 more source
MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks [PDF]
Journal of Lightwave Technology, 2021 The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamentally limited by mode-dependent gain (MDG) and amplified spontaneous emission (ASE) noise. Therefore, monitoring MDG and optical signal-to-noise ratio (SNR)
Ruby S. B. Ospina +9 more
semanticscholar +1 more source
A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication
水下无人系统学报, 2022 To solve the problem of signal-to-noise ratio(SNR) estimation for dynamic communication, an SNR estimation method suitable for underwater acoustic adaptive communication in trans-media heterogeneous networks was proposed.
Wei WANG +4 more
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