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Wireless holographic image communications relying on unequal error protected bitplanes

Wireless holographic image communications relying on unequal error protected bitplanes
Wireless holographic image communications relying on unequal error protected bitplanes
Holography is considered to be one of the most promising techniques of goggle-free visualization of the nearfuture. We consider wireless transmission of digital holograms, which are partitioned into multiple bitplanes that are then independently encoded by a forward error correction (FEC) code for transmission over wireless channels. The coding rates of these bitplanes will be optimized at the transmitter for the sake of achieving an improved holographic peak signal-to-noise ratio (PSNR) at the receiver. Our simulation results show that up to 2.6 dB of Eb=N0 or 12.5 dB of PSNR improvements may be achieved, when employing a recursive systematic convolutional (RSC) code.
0018-9545
1-13
Huo, Yongkai
12ef7050-42c0-4660-9776-66ce675fb1ab
Kovács, Péter Tamás
cf088910-98cf-43e8-ba71-391a851ffa81
Naughton, Thomas J.
5148364e-48a6-444e-b39e-020ae241f2ea
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Huo, Yongkai
12ef7050-42c0-4660-9776-66ce675fb1ab
Kovács, Péter Tamás
cf088910-98cf-43e8-ba71-391a851ffa81
Naughton, Thomas J.
5148364e-48a6-444e-b39e-020ae241f2ea
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Huo, Yongkai, Kovács, Péter Tamás, Naughton, Thomas J. and Hanzo, Lajos (2017) Wireless holographic image communications relying on unequal error protected bitplanes. IEEE Transactions on Vehicular Technology, 1-13. (doi:10.1109/TVT.2017.2656798).

Record type: Article

Abstract

Holography is considered to be one of the most promising techniques of goggle-free visualization of the nearfuture. We consider wireless transmission of digital holograms, which are partitioned into multiple bitplanes that are then independently encoded by a forward error correction (FEC) code for transmission over wireless channels. The coding rates of these bitplanes will be optimized at the transmitter for the sake of achieving an improved holographic peak signal-to-noise ratio (PSNR) at the receiver. Our simulation results show that up to 2.6 dB of Eb=N0 or 12.5 dB of PSNR improvements may be achieved, when employing a recursive systematic convolutional (RSC) code.

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Accepted/In Press date: 6 January 2017
e-pub ahead of print date: 20 January 2017

Identifiers

Local EPrints ID: 404958
URI: http://eprints.soton.ac.uk/id/eprint/404958
ISSN: 0018-9545
PURE UUID: e3bd110e-5ecd-41a7-bb03-04a6b8bc4fa6
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 25 Jan 2017 11:59
Last modified: 18 Mar 2024 02:35

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Contributors

Author: Yongkai Huo
Author: Péter Tamás Kovács
Author: Thomas J. Naughton
Author: Lajos Hanzo ORCID iD

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