Abstract
This paper presents a new method for estimating signal-tonoise ratio based on adaptive signal decomposition. Statistical simulation shows that the proposed method has lower variance and bias than the known signal-to-noise ratio measures. We discuss the parameters and characteristics of the proposed method and its practical implementation.
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Aleinik, S., & Stolbov, M. (2015). SNR estimation based on adaptive signal decomposition for quality evaluation of speech enhancement algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9319, pp. 364–371). Springer Verlag. https://doi.org/10.1007/978-3-319-23132-7_45
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