About: Spectral flatness

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Spectral flatness Goto Sponge NotDistinct Permalink

An Entity of Type : owl:Thing, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon

http://dbpedia.demo.openlinksw.com/c/eat81SRV1

Spectral flatness or tonality coefficient, also known as Wiener entropy, is a measure used in digital signal processing to characterize an audio spectrum. Spectral flatness is typically measured in decibels, and provides a way to quantify how much a sound resembles a pure tone, as opposed to being noise-like. The spectral flatness is calculated by dividing the geometric mean of the power spectrum by the arithmetic mean of the power spectrum, i.e.: The ratio produced by this calculation is often converted to a decibel scale for reporting, with a maximum of 0 dB and a minimum of −∞ dB.

Attributes	Values
rdfs:label	Spectral flatness (en)
rdfs:comment	Spectral flatness or tonality coefficient, also known as Wiener entropy, is a measure used in digital signal processing to characterize an audio spectrum. Spectral flatness is typically measured in decibels, and provides a way to quantify how much a sound resembles a pure tone, as opposed to being noise-like. The spectral flatness is calculated by dividing the geometric mean of the power spectrum by the arithmetic mean of the power spectrum, i.e.: The ratio produced by this calculation is often converted to a decibel scale for reporting, with a maximum of 0 dB and a minimum of −∞ dB. (en)
foaf:depiction
dct:subject	Digital signal processing
Wikipage page ID	8067200 (xsd:integer)
Wikipage revision ID	1073105086 (xsd:integer)
Link from a Wikipage to another Wikipage	Power spectrum Electroencephalography MPEG-7 Decibel Psychoacoustics Geometric mean Noise Mutual information Arithmetic mean Decibels Spectrum White noise Digital signal processing Histogram Bird vocalization Pure tone Digital signal processing Sine wave
sameAs	Spectral flatness Spectral flatness Spectral flatness
dbp:wikiPageUsesTemplate	dbt:Reflist
thumbnail	wiki-commons:Special:FilePath/White_noise_spectrum.svg?width=300
has abstract	Spectral flatness or tonality coefficient, also known as Wiener entropy, is a measure used in digital signal processing to characterize an audio spectrum. Spectral flatness is typically measured in decibels, and provides a way to quantify how much a sound resembles a pure tone, as opposed to being noise-like. The meaning of tonal in this context is in the sense of the amount of peaks or resonant structure in a power spectrum, as opposed to flat spectrum of a white noise. A high spectral flatness (approaching 1.0 for white noise) indicates that the spectrum has a similar amount of power in all spectral bands — this would sound similar to white noise, and the graph of the spectrum would appear relatively flat and smooth. A low spectral flatness (approaching 0.0 for a pure tone) indicates that the spectral power is concentrated in a relatively small number of bands — this would typically sound like a mixture of sine waves, and the spectrum would appear "spiky". The spectral flatness is calculated by dividing the geometric mean of the power spectrum by the arithmetic mean of the power spectrum, i.e.: where x(n) represents the magnitude of bin number n. Note that a single (or more) empty bin yields a flatness of 0, so this measure is most useful when bins are generally not empty. The ratio produced by this calculation is often converted to a decibel scale for reporting, with a maximum of 0 dB and a minimum of −∞ dB. The spectral flatness can also be measured within a specified subband, rather than across the whole band. Dubnov has shown that spectral flatness is equivalent to information theoretic concept of mutual information that is known as dual total correlation. (en)
prov:wasDerivedFrom	wikipedia-en:Spectral_flatness?oldid=1073105086&ns=0
page length (characters) of wiki page	5017 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Spectral_flatness
is Link from a Wikipage to another Wikipage of	Electroencephalography Vector signal analyzer Geometric mean Flatness Acoustic fingerprint Pure tone SFM Shlomo Dubnov Wiener entropy
is Wikipage redirect of	Wiener entropy
is Wikipage disambiguates of	Flatness
is foaf:primaryTopic of	wikipedia-en:Spectral_flatness

Faceted Search & Find service v1.17_git147 as of Sep 06 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3331 as of Sep 2 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 55 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software