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Effect of signal-to-noise ratio on the measurement of individual T1 values from superimposed peaks

Journal of Magnetic Resonance (1969), 1991
Abstract Spectra of complex organic molecules or biological macromolecules often contain peaks which are severely overlapped or superimposed. It is not readily apparent to what extent relaxation data for individual peak components may be extracted. In this paper, one- and two-component analyses of simulated relaxation data are carried out in order to
Craik, D. J.   +2 more
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Fully pipelined and hardware efficient architecture to improve peak signal to noise ratio for real-time demosaicking

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017
Demosaicking is used in real-time digital camera system. Digital camera captures images in the form of red, green and blue colors in a particular mosaic pattern by monochromatic detectors. So each pixel captures onlya single color among red, green and blue colors in the form of Bayer pattern. Demosaicking is the process of findingthe two unknown colors
Samarth Goyal   +4 more
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Enhancement of Raman Spectra Obtained at Low Signal-To-Noise Ratios: Matched Filtering and Adaptive Peak Detection

Applied Spectroscopy, 1985
Two methods of Raman spectral peak enhancement are described. The matched-filter approach employs an optimal filter to maximize the signal-to-noise ratio at its output. The impulse response of the matched filter is the reversed version of the profile of the spectral peak to be enhanced; therefore, the effectiveness of the matched filter depends on a ...
Stephen A. Dyer, David S. Hardin
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Reconstructing design parameters of a rectangular resonator via peak signal-to-noise ratio and global optimization algorithms

Inverse Problems in Science and Engineering, 2016
AbstractThis article proposes an approach for reconstructing physical parameters of a sample in a rectangular resonator during microwave radiation, knowing a priori, its electric field distribution. The inverse problem was solved using two global optimization algorithms and the peak signal-to-noise ratio (PSNR) criterion.
Ivan Amaya, Rodrigo Correa
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Estimation of the peak signal-to-noise ratio for compressed video based on generalized Gaussian modeling

Optical Engineering, 2007
The peak signal-to-noise ratio (PSNR) is one of the most popular video quality metrics. This ratio is computed using both original and processed images. We propose a new method to estimate the PSNR from an encoded bit stream without using original video sequences.
openaire   +1 more source

No-reference peak signal to noise ratio estimation based on generalized Gaussian modeling of transform coefficient distributions

Optical Engineering, 2012
We present a no-reference peak signal to noise ratio (PSNR) estimation algorithm based on discrete cosine transform (DCT) coefficient distributions from H.264/MPEG-4 part 10 advanced video codec (H.264/AVC) bitstreams. To estimate the PSNR of a compressed picture without the original picture on the decoder side, it is important to model the ...
openaire   +1 more source

Exceptional-point-based accelerometers with enhanced signal-to-noise ratio

Nature, 2022
Rodion Kononchuk   +2 more
exaly  

APSNR: Artifact Peak Signal-to-Noise Ratio for Image Quality Assessment

IEEE Transactions on Image Processing
Li Zhu, Baojiang Zhong, Kai-Kuang Ma
openaire   +1 more source

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