DocumentCode
128594
Title
Time-frequency representation reconstruction based on the compressive sensing
Author
Xiumei Li ; Guoan Bi
Author_Institution
Sch. of Inf. Sci. & Eng., Hangzhou Normal Univ., Hangzhou, China
fYear
2014
fDate
9-11 June 2014
Firstpage
1158
Lastpage
1162
Abstract
This paper uses the compressive sensing to reconstruct the time-frequency representation from few samples in the ambiguity function domain. Reconstructions using the basis pursuit algorithm and the traditional Fourier transform are compared, and it is shown that the compressive sensing helps to improve the resolution of the time-frequency representation. Moreover, different window types and different window sizes are used for the reconstruction.
Keywords
Fourier transforms; compressed sensing; signal reconstruction; signal representation; time-frequency analysis; Fourier transform; ambiguity function domain; basis pursuit algorithm; compressive sensing; time-frequency representation reconstruction; Chirp; Compressed sensing; Fourier transforms; Frequency modulation; Image reconstruction; Signal resolution; Time-frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4316-6
Type
conf
DOI
10.1109/ICIEA.2014.6931340
Filename
6931340
Link To Document