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.

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