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.


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    Title :

    Subband auto and cross-correlation estimation by recursive filtering


    Contributors:


    Publication date :

    2003-01-01


    Size :

    244987 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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