Skip to search formSkip to main contentSkip to account menu

Spectral centroid

The spectral centroid is a measure used in digital signal processing to characterise a spectrum. It indicates where the "center of mass" of the… 
Wikipedia (opens in a new tab)

Related topics

Related topics

4 relations

Broader (1)

Digital signal processing
High frequency content measureSpectral densitySpectral slope

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Systematic study of giant quadrupole resonances with the subtracted second random-phase approximation: Beyond-mean-field centroids and fragmentation
A systematic analysis of giant quadrupole resonances is performed for several nuclei, from $^{30}$Si to $^{208}$Pb, within the… 
2013
2013
Methods and Technologies for Analysing Links Between Musical Sound and Body Motion
There are strong indications that musical sound and body motion are related. For instance, musical sound is often the result of… 
2011
2011
Audio fingerprinting based on harmonic enhancement and spectral subband centroid
Audio fingerprint is also named audio hashing, which is a content-based identification technology that can be used to label an… 
2011
2011
Extended nearest shrunken centroid classification: A new method for open-set authorship attribution of texts of varying sizes
The nearest shrunken centroid (NSC) methodology, originally developed for high-dimensional genomics problems, was recently… 
2008
2008
A Meta-analysis of Timbre Perception Using Nonlinear Extensions to CLASCAL
Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music… 
2005
2005
A study of an orbital cycle of GX 301-2 observed by BeppoSAX
In this paper we report on the 4-80 keV wide-band X-ray spectrum of the High Mass X-ray Binary GX 301-2 observed by the BeppoSAX… 
Highly Cited
2004
Highly Cited
2004
Confounded Expectations: Informedia at TRECVID 2004
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search… 
2003
2003
Optimal clustering of multivariate normal distributions using divergence and its application to HMM adaptation
We present an optimal clustering algorithm for grouping multivariate normal distributions into clusters using the divergence, a… 
2001
2001
A novel analysis method of threshold voltage shift due to detrap in a multi-level flash memory
With the aim of improving flash-memory retention characteristics, we investigated threshold voltage shift (/spl Delta/V/sub th… 
2001
2001
Betz Invariants and Generalization of Vorticity Moment Invariants
The widely used Betz invariants can be categorized as invariants of vorticity moments or impulses in plane motion for mostly… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)