Title :
The Kernel MUSIC algorithm and its application to the Laser Microvision
Author :
Shimotahira, Hiroshi
Author_Institution :
Anritsu Corp., Kanagawa, Japan
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;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608439
