The Kernel MUSIC algorithm and its application to the Laser Microvision

Author

Shimotahira, Hiroshi

Author_Institution

Anritsu Corp., Kanagawa, Japan

Volume

2

fYear

1996

fDate

26-29 Nov 1996

Firstpage

754

Abstract

We propose the Kernel MUSIC algorithm for signal recovery. This algorithm works faster than the conventional MUSIC algorithm because no eigen analysis is needed. We also propose a new spatial smoothing technique to process a coherent signal. We apply the Kernel MUSIC algorithm to improve the spatial resolution of our developing optical microscope named the Laser Microvision. By computer simulation, we show the advantages of this algorithm, that is, reduction of the processing time and improvement of the spatial resolution. Finally by processing experimental data, we show that this algorithm has about two times higher resolution than that of the Fourier transform method

Keywords

image resolution; laser beam applications; optical information processing; optical microscopy; smoothing methods; Fourier transform method; Kernel MUSIC algorithm; Laser Microvision; coherent signal processing; computer simulation; experimental data preprocessing; optical microscope; processing time reduction; signal recovery; spatial resolution; spatial smoothing technique; Algorithm design and analysis; Computer simulation; Fourier transforms; Kernel; Laser applications; Multiple signal classification; Optical microscopy; Signal processing; Smoothing methods; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608439

Filename

608439