The linear sampling method and the MUSIC algorithm

By M. Cheney. 2001

296 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Oceanography, Signal Processing

View Paper: https://www.semanticscholar.org/paper/8e4e46ea50ed952756e3f4029219fec83187b792

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Liliana Borcea
2. Martin Brühl
3. Martin Hanke
4. Roland W. E. Potthast
5. B. Gebauer
6. Gunther Uhlmann
7. Peter Maass
8. Bangti Jin

In Oceanography

1. Martin Brühl
2. Liliana Borcea
3. Roland W. E. Potthast
4. Martin Hanke

In Signal Processing

1. Martin Brühl
2. Liliana Borcea
3. Roland W. E. Potthast
4. Martin Hanke

Citations in the corpus

• Recent progress in electrical impedance tomography (2003, background): “In fact, it was Cheney [9], and subsequently Kirsch [24], who observed and elaborated on the connection with (3.”
• A study on orthogonality sampling (2010, methodology): “The methods of Colton-Kirsch [5] and of Kirsch [12] (see also [3]), are based on the far field operator”
• Acoustic inverse scattering using topological derivative of far-field measurements-based L2 cost functionals (2013, unknown): “– Parallels between the MUSIC algorithm, linear sampling and factorization methods [10–12].”
• Electrical impedance tomography (2002, methodology): “In fact, Kirsch’s approach is quite similar to a well known signal processing method known as multiple signal classification (MUSIC) (see [50, 130]), as is pointed out by Cheney, in [37].”