Results 201 to 210 of about 2,559,254 (252)
AI-based prediction of left bundle branch block risk post-TAVI using pre-implantation clinical parameters. [PDF]
Vasileios C +3 more
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Non-Enzymatic Isolation of Cancer-Associated Fibroblasts From Human Prostate Tumor Explants. [PDF]
Gangarossa G +10 more
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Motor Skill Learning of a Racing Video Game With Intuitive versus Inverted and Random Controls. [PDF]
McCallion Q +7 more
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Randomized controlled trial to compare post operative analgesia between ultrasound guided quadratus lumborum and erector spinae plane block in children undergoing pyeloplasty. [PDF]
Kaur N, Pandey M, Varshney PG, Kundal R.
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A Hybrid Decoder for Block Turbo Codes
IEEE Transactions on Communications, 2009We propose a novel iterative decoder for block turbo codes (BTCs). The proposed decoder combines soft-input/softoutput (SISO) and hard-input/hard-output (HIHO) constituent decoders in order to obtain better error performance and reduce the computational complexity compared to classical BTC decoders. We show that the new decoder, called 'hybrid decoder',
Arafat Al Dweik, Bayan S Sharif
exaly +4 more sources
Laminated turbo codes: A new class of block-convolutional codes
IEEE Transactions on Information Theory, 2008In this paper, a new class of codes is presented that features a block-convolutional structure-namely, laminated turbo codes. It allows combining the advantages of both a convolutional encoder memory and a block permutor, thus allowing a block-oriented decoding method.
Daniel Joseph Costello, Jr. +2 more
exaly +3 more sources
Near-optimum decoding of product codes: block turbo codes
IEEE Transactions on Communications, 1998Summary: This paper describes an iterative decoding algorithm for any product code built using linear block codes. It is based on soft-input/soft-output decoders for decoding the component codes so that near-optimum performance is obtained at each iteration.
exaly +4 more sources

