Spectral analysis of subband filtered signals

A methodology for transform-based spectral analysis of subband filtered signals is developed. The methodology is based on performing the analysis on subband samples instead of on the input signal directly. Aliasing due to decimation is eliminated by including the effects of the adjacent subband in the analysis of frequencies near the filterbank transition regions. The frequency resolution and spectral leakage is nearly the same as if the transform had been performed on the input directly. In an M band filterbank, the analysis block length is reduced by a factor of M. This reduces the complexity of source compression techniques based on subband decomposition and spectral analysis.

[1]  A.N. Willson,et al.  High-performance IIR QMF banks for speech subband coding , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

[2]  Abeer Alwan,et al.  A robust variable-rate speech coder , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[3]  Karlheinz Brandenburg,et al.  The iso/mpeg-audio codec: A generic standard for coding of high quality digital audio , 1992 .

[4]  James D. Johnston,et al.  Transform coding of audio signals using perceptual noise criteria , 1988, IEEE J. Sel. Areas Commun..