Abstract
Normalization of signals is used as a means of dynamic range regulation in many applications, but the inherent nonlinear nature of normalization and its interaction with other commonly used tools of signal processing are often ignored. The author presents some of the issues involved in signal normalization and examines the role of normalization in the context of spectrum analysis. In particular, the question of the relative significance of spectral phase and magnitude is considered for normalized signals.
| Original language | English (US) |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Publisher | IEEE |
| Pages | 2388-2391 |
| Number of pages | 4 |
| State | Published - 1988 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
Cite this
CONSEQUENCE OF SIGNAL NORMALIZATION IN SPECTRUM ANALYSIS. / Cochran, Douglas.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, 1988. p. 2388-2391.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - CONSEQUENCE OF SIGNAL NORMALIZATION IN SPECTRUM ANALYSIS.
AU - Cochran, Douglas
PY - 1988
Y1 - 1988
N2 - Normalization of signals is used as a means of dynamic range regulation in many applications, but the inherent nonlinear nature of normalization and its interaction with other commonly used tools of signal processing are often ignored. The author presents some of the issues involved in signal normalization and examines the role of normalization in the context of spectrum analysis. In particular, the question of the relative significance of spectral phase and magnitude is considered for normalized signals.
AB - Normalization of signals is used as a means of dynamic range regulation in many applications, but the inherent nonlinear nature of normalization and its interaction with other commonly used tools of signal processing are often ignored. The author presents some of the issues involved in signal normalization and examines the role of normalization in the context of spectrum analysis. In particular, the question of the relative significance of spectral phase and magnitude is considered for normalized signals.
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UR - http://www.scopus.com/inward/citedby.url?scp=0023799430&partnerID=8YFLogxK
M3 - Conference contribution
SP - 2388
EP - 2391
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PB - IEEE
ER -