Subband auto and cross-correlation estimation by recursive filtering

Autor:	John Sarris, George Cambourakis
Rok vydání:	2004
Předmět:	Adaptive filter Multidimensional signal processing Filter design business.industry Matched filter Electronic engineering Recursive filter Filter bank business Algorithm Linear filter Digital signal processing Mathematics
Zdroj:	3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.
DOI:	10.1109/ispa.2003.1296863
Popis:	The auto and cross-correlation functions have proven to be valuable tools for many digital signal processing applications. Here, we extend these two functions and define the subband auto and cross-correlation equivalents. The new functions provide precious insight on the time-varying structure of non-stationary signals. For an efficient implementation recursive filters arranged in a filter bank structure are employed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aa0163b2e57f2b0d706ac9abc5e91bed https://doi.org/10.1109/ispa.2003.1296863 Zobrazit plný text záznamu