Compressing audio signals with the use of the wavelet transform and Embedded Systems

Abstract

In this paper, a perceptual audio compressor is developed with the use of the Wavelet Transform in an Embedded System. Former compressors were not able to achieve remarkable compression ratios while maintaining the same format type (in this case .wav). The present project makes an efficient use of a Transform which enables appropriate time-frequency tracking, without perceptual losses. As it is known, the FFT tracking is not suitable for the transient representation in audio signals, and signals containing highly variable spectral components from frame to frame. The present work addresses a more suitable representation with the use of the Daubechies-Wavelet Type 4, which solves satisfactorily the problem.