Results 1 to 10 of about 145,983 (280)
A priori SNR estimation and noise estimation for speech enhancement. [PDF]
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.
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Non-Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
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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Novel Results on SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
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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Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels [PDF]
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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Deep Learning-Based SNR Estimation
The 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
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
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A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication
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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Improved Weighted Matching Pursuit based Channel Estimation Algorithm
Compressive sensing based matching pursuit algorithm can estimate the channel state information of communication system with shorter pilot sequences. It has the advantages of lower computational complexity and less number of pilots.
Zhi-guo Lü, Meng QI, Hong-xiang SHAO
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Signal-to-noise ratio (SNR) is an important radiation characteristic parameter for remote sensing image quality assessment as well as a key performance indicator for remote sensing sensors.
Wenzhong Tian +5 more
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Noise estimation in single coil MR images
Magnetic resonance (MR) signal is degraded by acquisition noise. Estimation and removal of noise from MR images is essential for analysis and further pre-processing. The work proposes a new method for noise variance estimation in single coil magnitude MR
Archana Chaudhari, Jayant Kulkarni
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