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The most prominent member of this family is MUltiple SIgnals Classification (MUSIC) [4], it relies on an appropriate separation between signal and noise subspaces.
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Multiple Signal Classification.
The approach is based on the high-resolution technique known as multiple signal classification (MUSIC).
The method of multiple signal classification (MUSIC) has been widely used to solve this problem.
For example the Multiple Signal Classification (MUSIC) [10] null-spectrum is defined by (4).
One of the famous algorithms is the multiple signal classification (MUSIC) algorithm proposed in [4].
The second projection is Multiple Signal Classification (MUSIC), which is an eigenvector analysis method.
We describe a fast and accurate indoor localization technique using the multiple signal classification (MUSIC) algorithm.
Multiple signal classification (MUSIC) is the best known high-resolution method.
This paper presents a novel model-based 2D multiple signal classification (MUSIC) damage identification algorithm for plate-like structures.
Multiple signal classification (MUSIC) and estimating signal parameter via rotational invariance techniques (ESPRIT) are two subspace techniques [21, 22].
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