Filter Bank Realization of Discrete Wavelet
Transform based Multiband Dynamic Range Control
for Audio
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Lavanya C, Arvind H.S
Volume:
3
Issue:
4
Grenze ID:
01.GIJCTE.3.4.59
Pages:
399-406
Abstract
This paper proposes a one-level one dimensional Discrete Wavelet Filter bank
based Multiband Dynamic Range Control DRC for audio. Using different basis functions
like daubechie, haar and dmeyer DWT decomposes input audio signals into low and high
frequency bands with the help of analysis filters, and these sub-bands are decimated by a
factor of 2 and inputted to DRC up-sampled by a factor of 2 after which need to be
combined to reconstruct the original signal with the help of synthesis filters. The
reconstructed signal is an exact replica of input signal called perfect reconstruction with
better sound quality, very less computational time and best frequency response when
compared to QMF filter bank. In DRC, multi-band compressor is used to apply
compression differently to different frequency bands of the input signal, which uses
minimum gain method. This allows the user to be selective about how compression is
applied to a signal and only add power to certain parts of the frequency spectrum. Here
limiter, compressor, expander and noise gate are used in the DRC, which protects the AD
converter from overload.