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View all- Yang YKim Y(2021)Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video ProcessingIEEE Access10.1109/ACCESS.2021.31156719(133062-133075)Online publication date: 2021
Energy-efficient MIMO detection using unequal error protection for embedded joint decoding system
Pages 579 - 584
Abstract
This paper presents a low-power multiple-input multiple-output (MIMO) and H.264 video joint detector/decoder design that minimizes energy for portable, wireless embedded systems. The design combines an unequal error protection (UEP) scheme with a variable fidelity of MIMO detection, making performance and energy consumption tradeoffs as required by the importance of each coded video frame. Using search space reduction/truncation strategies in MIMO detection along with H.264 data partitioning (DP) method, we determine the decoding configurations that yield minimum energy consumption for pre-specified image qualities at the receiver. The synthesis result of this scalable MIMO detector using a 45nm technology library yields 52%, 57%, and 58% energy reductions at 24dB SNR in Foreman, Akiyo, and Mobile test streams respectively. The tradeoff is negligible 0.3dB degradation in peak signal to noise ratio (PSNR) typically used in an image quality estimation.
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- Energy-efficient MIMO detection using unequal error protection for embedded joint decoding system
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Published In
June 2011
1055 pages
ISBN:9781450306362
DOI:10.1145/2024724
- General Chair:
- Leon Stok,
- Program Chairs:
- Nikil Dutt,
- Soha Hassoun
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Published: 05 June 2011
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View all- Yang YKim Y(2021)Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video ProcessingIEEE Access10.1109/ACCESS.2021.31156719(133062-133075)Online publication date: 2021
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