Results 1 to 10 of about 1,657 (63)

Single Image Signal-to-Noise Ratio (SNR) Estimation Techniques for Scanning Electron Microscope – A Review

open access: yesIEEE Access
Noises are commonly present in grayscale images, particularly in Scanning Electron Microscope (SEM) images especially secondary emission noise, which can significantly affect their quality.
Kok Swee Sim
exaly   +3 more sources

A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication

open access: yes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
doaj   +1 more source

Improved Weighted Matching Pursuit based Channel Estimation Algorithm

open access: yesGuangtongxin yanjiu, 2022
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
doaj   +3 more sources

A New Method for Estimating Signal-to-Noise Ratio in UAV Hyperspectral Images Based on Pure Pixel Extraction

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
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
doaj   +1 more source

Noise estimation in single coil MR images

open access: yesBiomedical Engineering Advances, 2021
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
doaj   +1 more source

Joint Channel Estimation Algorithm Based on DFT and DWT

open access: yesApplied Sciences, 2022
Channel estimation is an important component of orthogonal frequency division multiplexing (OFDM) systems. The existence of virtual subcarriers leads to energy spreading in the time-domain when using Inverse Fast Fourier Transform (IFFT), resulting in ...
Zhe Zhang, Xin Bian, Mingqi Li
doaj   +1 more source

Continuous Hidden Markov Model Based Spectrum Sensing with Estimated SNR for Cognitive UAV Networks

open access: yesSensors, 2022
In this paper, to enhance the spectrum utilization in cognitive unmanned aerial vehicle networks (CUAVNs), we propose a cooperative spectrum sensing scheme based on a continuous hidden Markov model (CHMM) with a novel signal-to-noise ratio (SNR ...
Yuqing Feng   +3 more
doaj   +1 more source

Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal [PDF]

open access: yesXibei 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

doaj   +1 more source

An improved discrete Fourier transformation channel estimation algorithm with low complexity for orthogonal frequency division multiplexing‐based power line carrier communication systems

open access: yesIET 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
doaj   +1 more source

Significant Wave Height Estimation Using Multi-Satellite Observations from GNSS-R

open access: yesRemote 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
doaj   +1 more source

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