Distortion Spectrum Analysis is a methodological framework in signal processing that characterizes nonlinear distortions by decomposing a signal into its harmonic and intermodulation components to quantify the distribution and magnitude of spectral artifacts introduced by system nonlinearities.
38
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2017–2026
2
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Publications
38
Voice conversion through vector quantization.
Masanobu Abe, Satoshi Nakamura, Kiyohiro Shikano et al. · Journal of the Acoustical Society of Japan (E) · 1990 · 152 citations · Full text
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1–5 of 77
Institutions
33
Duke University
Durham, United States
3 h-index
10 publications
594 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
90 citations
University of British Columbia
Vancouver, Canada
2 h-index
6 publications
165 citations
Sharif University of Technology
Tehran, Iran
1 h-index
1 publications
12 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
210 citations
University of Notre Dame
Notre Dame, United States
1 h-index
4 publications
76 citations
Queen's University Belfast
Belfast, United Kingdom
1 h-index
2 publications
38 citations
Texas Tech University
Lubbock, United States
1 h-index
2 publications
20 citations
1–8 of 33
Venues
- The Journal of Chemical Physics
4 publications · 179 citations
4
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- Canadian Journal of Physics
3 publications · 176 citations
3
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- IEEE Transactions on Communications
2 publications · 90 citations
2
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- Electronics Letters
2 publications · 82 citations
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- Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi
1 publications · 15 citations
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