An Application of Spectral Translation and Spectral Envelope Extrapolation for High-frequency Bandwidth Extension of Generic Audio Signals

The scope of this work is to introduce a conceptually simple yet effective algorithm for blind high-frequency bandwidth extension of audio signals, a means of improving perceptual quality for sound which has been previously low-pass filtered or downsampled (typically due to storage considerations). The algorithm combines an application of the modulation theorem for discrete Fourier transform to regenerate the missing high-frequency end of the signal spectrum with a linear-regression-driven approach to shape the spectral envelope for the regenerated band. The results are graphically and acoustically compared to those obtained with existing audio restoration software for a variety of input signals. The source code and Windows binaries of the resulting algorithm implementation are also included.

Name thesis:degree_name

MS

Level thesis:degree_level

Immediate Access

Discipline thesis:degree_discipline

Computational Mathematics

Year dc:date.available

2010

Author dc:creator

• Kontsevoi, Alexei

Contributors dc:contributor

• Stacey Levine
• Carl Toews

• audio restoration
• band replication
• bandwidth extension
• fourier analysis
• open source software
• signal processing

Language dc:language

English

Repository record dc:identifier

https://dsc.duq.edu/etd/769

OAI identifier oai:identifier

oai:dsc.duq.edu:etd-1785