Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Multirate systems and filter banks
Multirate systems and filter banks
Efficient biorthogonal cosine-modulated filter banks
Signal Processing
Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets
Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Coefficient quantization in nearly perfect-reconstruction cosine-modulated filter banks
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
A general formulation of modulated filter banks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Efficient implementation of nearly perfect reconstruction FIR cosine-modulated filterbanks
IEEE Transactions on Signal Processing
Fast algorithm for computing discrete cosine transform
IEEE Transactions on Signal Processing
Symmetry exploitation in digital interpolators/decimators
IEEE Transactions on Signal Processing
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The analysis and synthesis parts of a cosine-modulated M-channel filterbank (FB) contain two sections, a modulation block and a prototype filter implemented in a polyphase structure. Although, in many cases, a linear-phase prototype filter is used, the coefficient symmetry of this filter is not utilized when using the existing polyphase structure. In this paper, a method is proposed for implementing a linear-phase prototype filter building a nearly perfect reconstruction cosine-modulated FB in such a way that it enables one to partially utilize the coefficient symmetry, thereby reducing the number of required multiplications in the implementation. The proposed method can be applied for implementing FBs with an arbitrary filter order and number of channels. Moreover, it is shown that, in all cases under consideration, the cosine-modulation part of the FB can be implemented by using a fast discrete cosine transform. The efficiency of the proposed implementation is evaluated by means of examples.