Access Restriction

Author Liang Zhongyin ♦ Huang Jianjun ♦ Huang Jingxiong
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Finite impulse response filters ♦ Image reconstruction ♦ Discrete Fourier transforms ♦ Time measurement ♦ Time-domain analysis ♦ Compressed sensing ♦ Matching pursuit algorithms ♦ random filter ♦ compressive sampling ♦ sub-sampled IFFT
Abstract In this paper, a new approach based on Sub-sampled Inverse Fast Fourier Transform (SSIFFT) for efficiently acquiring compressive measurements is proposed, which is motivated by random filter based method and sub-sampled FFT. In our approach, to start with, we multiply the FFT of input signal and that of random-tap FIR filter in frequency domain and then utilize SSIFFT to obtain compressive measurements in the time domain. It requires less data storage and computation than the existing methods based on random filter. Moreover, it is suitable for both one-dimensional and two-dimensional signals. Experimental results show that the proposed approach is effective and efficient.
Description Author affiliation: Dept. of Inf. Eng., Shenzhen Univ., Shenzhen, China (Liang Zhongyin; Huang Jianjun) || Air Defense Forces Acad., Zhengzhou, China (Huang Jingxiong)
ISBN 9781479986392
ISSN 21593450
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-01
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479986415
Size (in Bytes) 352.26 kB
Page Count 4
Starting Page 1
Ending Page 4

Source: IEEE Xplore Digital Library