Research on Real-time Extracting Method for Distance Characteristic Feature Based on CUDA

Author

Qinghai He ; Lianglong Da ; Guojun Xu

Author_Institution

Navy Submarine Acad., Qingdao, China

fYear

2012

fDate

8-10 Dec. 2012

Firstpage

555

Lastpage

558

Abstract

The distance change ratio of target can be described by distance characteristic feature. A method for extracting distance characteristic feature from LOFAR spectrum striations has been introduced. Because sound field computation and image processing consume too much time, CUDA technology has been used on extraction of distance characteristic feature to solve the problem of low efficiency. The CUDA technology which is provided by NVIDIA corporation has acquired programmability to perform general purpose fast computation by running ten thousands of threads concurrently. The experimental results show that the CUDA is practical for the application. Distance characteristic feature of target can be extracted in real-time based on CUDA technology.

Keywords

concurrency control; feature extraction; image denoising; parallel architectures; real-time systems; CUDA technology; LOFAR spectrum striations; NVIDIA corporation; distance characteristic feature extraction; general purpose fast computation; image denoising; image processing; real-time extracting method; sound field computation; Feature extraction; Graphics processing units; Noise; Noise reduction; Real-time systems; Time frequency analysis; Wavelet coefficients; CUDA; distance characteristic feature; fast computation;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4673-5034-1

Type

conf

DOI

10.1109/IMCCC.2012.137

Filename

6428970