Empirical Mode Decomposition for Advanced Speech Signal Processing
نویسندگان
چکیده
منابع مشابه
Empirical Mode Decomposition for Advanced Speech Signal Processing
Empirical mode decomposition (EMD) is a newly developed tool to analyze nonlinear and non-stationary signals. It is used to decompose any signal into a finite number of time varying subband signals termed as intrinsic mode functions (IMFs). Such data adaptive decomposition is recently used in speech enhancement. This study presents the concept of EMD and its application to advanced speech signa...
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ژورنال
عنوان ژورنال: Journal of Signal Processing
سال: 2013
ISSN: 1342-6230,1880-1013
DOI: 10.2299/jsp.17.215