Quantization noise analysis of sign/logarithm data encoders when excited by speech or sinusoidal inputs

Quantization noise analysis of sign/logarithm data encoders when excited by speech or sinusoidal inputs

In many digital signal processing applications, the use of sign/logarithm data encoding is valuable. Simple formulas that predict usable dynamic range for systems employing sign/logarithm arithmetic when excited either by speech or sinusoidal inputs are derived.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on signal processing 2000-12, Vol.48 (12), p.3578-3581
Hauptverfasser: Seh Wah Kwa, Engel, G.L., Morley, R.E.
Format: Artikel
Sprache:eng
Schlagworte:
Arithmetic
Degradation
Digital arithmetic
Digital filters
Dynamic range
Dynamical systems
Dynamics
Encoders
Excitation
Indium phosphide
Logarithms
Quantization
Speech
Speech analysis
Speech enhancement
Speech processing
Stochastic processes
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Beschreibung
Zusammenfassung:In many digital signal processing applications, the use of sign/logarithm data encoding is valuable. Simple formulas that predict usable dynamic range for systems employing sign/logarithm arithmetic when excited either by speech or sinusoidal inputs are derived.
ISSN:1053-587X
1941-0476
DOI:10.1109/78.887052