Title :
Multidimensional DFT-modulated filter bank: Design and implementation
Author :
Vashkevich, Maxim ; Petrovsky, Alexander
Author_Institution :
Radioelectron., Belarusian State Univ. of Inf., Minsk, Belarus
Abstract :
The paper presents an approach to subchannel decomposition of multidimensional signals that is performed by means of a DFT-modulated filter bank designed for multidimensional signals. An r-dimension signal can be decomposed using r scalar DFT-modulated filter banks. However, the proposed vectorized filter bank allows to obtain polyphase filter bank structure that can be efficiently implemented in hardware or in software using vector processors.
Keywords :
channel bank filters; discrete Fourier transforms; multidimensional signal processing; discrete Fourier transform; multidimensional DFT-modulated filter bank design; multidimensional DFT-modulated filter bank implementation; multidimensional signal subchannel decomposition; polyphase filter bank structure; r scalar DFT-modulated filter bank; r-dimension signal decomposition; vector processor; vectorized filter bank; Arrays; Computational efficiency; Discrete Fourier transforms; Filter banks; Prototypes; Real-time systems; Vectors; filter bank; multidimensional signals;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009882
