Ebook: Reducing Sensitivity of Segmental Signal-to-Noise Ratio Estimator to Time-Alignment Error
Author: Prodeus A.
- Genre: Computers // Organization and Data Processing
- Tags: Информатика и вычислительная техника, Обработка медиа-данных, Обработка звука
- Language: English
- pdf
International Journal of Electrical and Electronic Science. - August 30, 2015. - Vol. 2(2). - P. 31-
36. Quantitative assessment of influence of the time-alignment error on segmental signal-to-noise ratio (SSNR) estimation is made. It is shown that an effective way to reduce sensitivity of SSNR estimator to time-alignment error is to increase the sample rate of the compared signals in 2.4 times by means of their interpolation. It was founded also that when distorted signal is a result of adjusting FIR filtering, the filter order must be odd for minimizing the SSNR estimation error.
36. Quantitative assessment of influence of the time-alignment error on segmental signal-to-noise ratio (SSNR) estimation is made. It is shown that an effective way to reduce sensitivity of SSNR estimator to time-alignment error is to increase the sample rate of the compared signals in 2.4 times by means of their interpolation. It was founded also that when distorted signal is a result of adjusting FIR filtering, the filter order must be odd for minimizing the SSNR estimation error.
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