Implementation of a Tree-Structured Filter Bank Using Cyclic Convolutions

نویسنده

  • HIDEO MURAKAMI
چکیده

A filter bank in which cyclic convolutions are used in place of linear convolutions will be referred to as a cyclic convolution filter bank (CCFB). A dyadic tree-structured CCFB can be used to perform a discrete wavelet transform suitable for coding based on symmetric extension methods. This paper derives an implementation technique for the tree-structured CCFB that can be realized by FFT processors. Key-Words: Filter bank, tree-structured filter bank, wavelet transform, cyclic convolution, implementation, discrete Fourier transform. * This work is supported in part by the Ministry of Education & Science, Japan, Grant No(C)15560341

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تاریخ انتشار 2004