A Robust Wireless Image Transmission for ITS Broadcast Environment Using Compressed Sensing-Reference-Cited by-同舟云学术

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A Robust Wireless Image Transmission for ITS Broadcast Environment Using Compressed Sensing

Published:2015 Issue:2 Volume:E98.A Page:783-787
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

TAKANASHI Masaki¹,MAKIDO Satoshi¹

Affiliation:

1. Toyota Research and Development Laboratory Incorporated

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E98.A/2/E98.A_783/_pdf

Reference10 articles.

1. [1] M. Sabir, H. Sheikh, R. Heath, Jr., and A. Bovik, “A joint source-channel distortion model for JPEG compressed images,” IEEE Trans. Image Process., vol.15, no.6, pp.1349-1364, 2006.

2. [2] D. Sachs, R. Anand, and K. Ramchandran, “Wireless image transmission using multiple-description based concatenated codes,” Proc. SPIE3974, Image and Video Commun. and Process., 2000.

3. [3] D. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory, vol.52, no.4, pp.1289-1306, April 2006.

4. [4] E. Candes and M. Wakin, “An introduction to compressive sampling,” IEEE Signal Process. Mag., vol.25, no.2, pp.21-30, March 2008.

5. [5] E. Candes, J. Romberg, and T. Tao, “Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory, vol.52, no.2, pp.489-509, Feb. 2006.

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