Dissertation/Thesis Abstract

An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals
by Kontsevoi, Alexei, M.S., Duquesne University, 2010, 59; 1475403
Abstract (Summary)

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.

Indexing (document details)
Advisor: Levine, Stacey
Commitee: Toews, Carl
School: Duquesne University
Department: Computational Mathematics
School Location: United States -- Pennsylvania
Source: MAI 48/05M, Masters Abstracts International
Subjects: Applied Mathematics, Engineering
Keywords: Audio restoration, Band replication, Bandwidth extension, Fourier analysis, Open source software, Signal processing
Publication Number: 1475403
ISBN: 978-1-109-73792-9
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