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Vol.2 , No. 2, Publication Date: Aug. 20, 2015, Page: 31-36
 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.&picture=http://www.aascit.org/aascit/decorators/img/journal/915.jpg)
| [1] | Arkadiy Prodeus, Acoustic and Electroacoustic Department, Faculty of Electronics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine. |
In this paper, 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.
Keywords
Segmental Signal-to-Noise Ratio, Estimator Stability, Estimation Error, Time-Alignment Error, Sampling Rate
Reference
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