High-selectivity filter banks for spectral analysis of music signals

Authors:
Filipe C. C. B. Diniz;Iuri Kothe;Sergio L. Netto;Luiz W. P. Biscainho
Affiliations:
LPS-PEE/COPPE and DEL/Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;LPS-PEE/COPPE and DEL/Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;LPS-PEE/COPPE and DEL/Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;LPS-PEE/COPPE and DEL/Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2007

Citing 3
Cited 3

Multirate systems and filter banks

Multirate systems and filter banks
Digital Signal Processing: System Analysis and Design

Digital Signal Processing: System Analysis and Design
Signals and Systems

Signals and Systems

Overcomplete discrete wavelet transforms with rational dilation factors

IEEE Transactions on Signal Processing
Orthonormal FBs with rational sampling factors and oversampled DFT-modulated FBs: a connection and filter design

IEEE Transactions on Signal Processing
Frequency-domain design of overcomplete rational-dilation wavelet transforms

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper approaches, under a unified framework, several algorithms for the spectral analysis of musical signals. Such algorithms include the fast Fourier transform (FFT), the fast filter bank (FFB), the constant-Q transform (CQT), and the bounded-Q transform (BQT), previously known from the associated literature. Two new methods are then introduced, namely, the constant-Q fast filter bank (CQFFB) and the bounded-Q fast filter bank (BQFFB), combining the positive characteristics of the previously mentioned algorithms. The provided analyses indicate that the proposed BQFFB achieves an excellent compromise between the reduced computational effort of the FFT, the high selectivity of each output channel of the FFB, and the efficient distribution of frequency channels associated to the CQT and BQT methods. Examples are included to illustrate the performances of these methods in the spectral analysis of music signals.