Skip to search formSkip to main contentSkip to account menu

MUSIC (algorithm)

Known as: Multiple signal classification 
MUSIC (MUltiple SIgnal Classification) is an algorithm used for frequency estimation and emitter location.
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Recently, there has been an increased interest in fault detection on electrical machines in steady-state regimes. Several… 
2018
2018
Brain computer interface (BCI) based on visual stimulus is widely used, however, subjects have to focus on the stimulus rather… 
2014
2014
In this paper, we introduce a new framework for robust multiple signal classification (MUSIC). The proposed framework, called… 
2012
2012
The localization methods time difference of arrival (TDOA) and angle of arrival (AOA) are investigated in their capability of… 
2010
2010
Dominant frequency (DF) of electrophysiological data is an effective approach to estimate the activation rate during Atrial… 
2007
2007
The problem of estimating the location of a source is addressed based on the time difference of arrival (TDoA) of the first… 
2004
2004
A cable reel assembly particularly adapted for, but not limited to, a system for providing electrical connection of power and… 
2000
2000
SUMMARY OVset-dependent characteristics of seismic scattering are useful for characterizing fractured reservoirs. We use two… 
1996
1996
  • J. Joutsensalo
  • 1996
  • Corpus ID: 123176874
In the code-division multiple access (CDMA), the arising data model is linear. The parametric form of the data is known via the…