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An application of spectral translati...
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Kontsevoi, Alexei.
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An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals./
作者:
Kontsevoi, Alexei.
面頁冊數:
59 p.
附註:
Source: Masters Abstracts International, Volume: 48-05, page: 3032.
Contained By:
Masters Abstracts International48-05.
標題:
Applied Mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1475403
ISBN:
9781109737929
An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals.
Kontsevoi, Alexei.
An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals.
- 59 p.
Source: Masters Abstracts International, Volume: 48-05, page: 3032.
Thesis (M.S.)--Duquesne University, 2010.
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.
ISBN: 9781109737929Subjects--Topical Terms:
1669109
Applied Mathematics.
An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals.
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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.
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