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Noise robust speech rate estimation using signal-to-noise ratio dependent sub-band selection and peak detection strategy

The Journal of the Acoustical Society of America, 2019
Speech (syllable) rate estimation typically involves computing a feature contour based on sub-band energies having strong local maxima/peaks at syllable nuclei, which are detected with the help of voicing decisions (VDs). While such a two-stage scheme works well in clean conditions, the estimated speech rate becomes less accurate in noisy condition ...
Yarra, Chiranjeevi   +3 more
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Parametric studies of matched filters to enhance the signal-to-noise ratios of LC–MS–MS peaks

Analytica Chimica Acta, 2006
Chromatographic parameters of reference signals employed in matched filter methods have been studied using numerical experiments to improve the signal-to-noise (S/N) ratios of small liquid chromatography (LC) peaks obtained with electrospray tandem mass spectrometers (MS-MS).
Shau-Chun, Wang   +2 more
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An adaptive detection system for Raman spectral peaks at low signal‐to‐noise ratios

Journal of Raman Spectroscopy, 1984
AbstractRaman spectroscopic techniques have made it possible to study adsorbed species on single metal crystals at submonolayer coverages. However, as the amount of coverage decreases, the signal‐to‐noise ratio (SNR) deteriorates. This paper describes an adaptive peak detector (APD), a data analysis system capable of detecting peaks at low SNRs.
Stephen A. Dyer   +2 more
openaire   +1 more source

Image quality evaluation based on image weighted separating block peak signal to noise ratio

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003
Traditional objective image quality evaluation measures, such as the MSE or the PSNR, only represent the total difference between the original images and reconstructed images. However in some case, such as there are few large error pixels and many small error pixels in an image, they have not a consistent a result with subjective measure.
null Wang Yuanji   +4 more
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Peak Signal-to-Noise Ratio Formulas for Multistage Delta Modulation With RC-Shaped Gaussian Input Signals

Bell System Technical Journal, 1982
A multistage delta modulation (MSDM) encoder contains a number of delta modulation (DM) stages, where each delta modulator encodes the band-limited error of the previous delta modulator. The DM binary outputs are then multiplexed for transmission.
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JPEG Image Compression Using Multiple Core Strategy in FPGA achieving High Peak Signal to Noise Ratios

2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021
Field Programmable Gate Arrays are increasingly becoming an integral part of modern embedded system designs because of their ease of implementation, flexibility and unparalleled processing power capability. Taking into consideration these capabilities, a compression algorithm has been implemented on an FPGA (Xilinx Spartan 3A 3400 Kit) while the ...
Umar Anjum   +6 more
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A Study of the Perceptually Weighted Peak Signal-To-Noise Ratio (WPSNR) for Image Compression

2019 IEEE International Conference on Image Processing (ICIP), 2019
The peak signal-to-noise ratio (PSNR) is the most used objective measure for assessing perceptual image quality when it comes to image and video compression tasks, despite the fact that it exhibits weak performance in reflecting human perception. To address this problem, many image quality assessment (IQA) methods were proposed, e. g.
Johannes Erfurt   +5 more
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Denoising swin transformer and perceptual peak signal-to-noise ratio for low-dose CT image denoising

Measurement
Boyan Zhang   +5 more
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Weighted stacking of up-and down-going RTM images using peak signal-to-noise ratio analysis

open access: closedFourth International Meeting for Applied Geoscience & Energy
Sérgio Luiz E. F. da Silva   +5 more
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An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio

Applied Spectroscopy, 2017
Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak recognition is a very essential part of spectral analysis. The fully automated peak recognition is convenient in practical application. A fully automated Raman peaks recognition algorithm based on continuous wavelet transformation and local signal-to-noise ratio ...
Fang, Qian, Yihui, Wu, Peng, Hao
openaire   +2 more sources

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