Sentence examples for multiple signal classification from inspiring English sources

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.

This paper presents a novel model-based 2D multiple signal classification (MUSIC) damage identification algorithm for plate-like structures.

This paper presents a detection methodology based on the combined use of two techniques: Complete Ensemble Empirical Mode Decomposition and the Multiple Signal Classification.

After establishing the received data model, the two-dimensional polarimetric Multiple Signal Classification (2D P-MUSIC) algorithm is used to extract target scattering characteristic.

For the SNS reconstruction, we consider the accelerated iterative hard thresholding algorithm; for the MCS reconstruction, the multiple signal classification and focal underdetermined system solver algorithms are used.

In order to show the effectiveness, we compare the proposed algorithm with traditional MUltiple SIgnal Classification (MUSIC) algorithm and Kirchhoff migration.

In this study, multiple signal classification (MUSIC), autoregressive (AR) and periodogram methods were used to get power spectra in patients with absence seizure.

Initial guesses are chosen from a direct imaging algorithm, multiple signal classification (MUSIC), along with a level set representation at a certain wavenumber, where the Born approximation may not be valid.

Obtained results for both real and simulated data at different signal to noise ratio (SNR) values indicate the superior performance of the proposed technique over the well known MUltiple SIgnal Classification (MUSIC) technique.

This study analyzes the well-known MUltiple SIgnal Classification (MUSIC) algorithm to identify unknown support of thin penetrable electromagnetic inhomogeneity from scattered field data collected within the so-called multi-static response matrix in limited-view inverse scattering problems.