<title>Detecting moving targets in SAR imagery by using a phase-error correction algorithm</title>

Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used for sequencing the S. cerevisiae genome. To make use of these data, we developed a novel open-source hybrid error correction algorithm Nanocorr (https://github.com/jgurtowski/nanocorr) specifically for Oxford Nanopore reads, as existing packages were incapable of assembling the long read lengths (5-50kbp) at such high error rate (between ~5 and 40% error). With this new method we were able to perform a hybrid error correction of the nanopore reads using complementary MiSeq data and produce a de novo assembly that is highly contiguous and accurate: the contig N50 length is more than ten-times greater than an Illumina-only assembly (678kb versus 59.9kbp), and has greater than 99.88% consensus identity when compared to the reference. Furthermore, the assembly with the long nanopore reads presents a much more complete representation of the features of the genome and correctly assembles gene cassettes, rRNAs, transposable elements, and other genomic features that were almost entirely absent in the Illumina-only assembly.

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Error Correction Algorithm Based on Certain Correlation Assumption

Information Technology Journal ◽

10.3923/itj.2014.1848.1852 ◽

2014 ◽

Vol 13 (11) ◽

pp. 1848-1852

Author(s):

Hui Chen ◽

Feng Lian

Keyword(s):

Error Correction ◽

Correction Algorithm ◽

Error Correction Algorithm

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Research on error-correction algorithm of high-speed QKD system based on FPGA

International Journal of Quantum Information ◽

10.1142/s0219749919500138 ◽

2019 ◽

Vol 17 (02) ◽

pp. 1950013

Author(s):

Shi-Biao Tang ◽

Jie Cheng

Keyword(s):

Error Correction ◽

Quantum Key Distribution ◽

High Speed ◽

Information Leakage ◽

Correction Algorithm ◽

Performance Limit ◽

Performance Requirement ◽

The Future ◽

Field Programmable ◽

Error Correction Algorithm

In the process of quantum key distribution (QKD), error correction algorithm is used to correct the error bits of the key at both ends. The existing applied QKD system has a low key rate and is generally Kbps of magnitude. Therefore, the performance requirement of data processing such as error correction is not high. In order to cope with the development demand of high-speed QKD system in the future, this paper introduces the Winnow algorithm to realize high-speed parity and hamming error correction based on Field Programmable Gate Array (FPGA), and explores the performance limit of this algorithm. FPGA hardware implementation can achieve the scale of Mbps bandwidth, with choosing different group length of sifted key by different error rate, and can achieve higher error correction efficiency by reducing the information leakage in the process of error correction, and improves the QKD system’s secure key rate, thus helping the future high-speed QKD system.

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MobileNet-SSD MicroScope using adaptive error correction algorithm: real-time detection of license plates on mobile devices

IET Intelligent Transport Systems ◽

10.1049/iet-its.2019.0380 ◽

2020 ◽

Vol 14 (2) ◽

pp. 110-118

Author(s):

Xun Hu ◽

Hong Li ◽

Xinrong Li ◽

Chiyu Wang

Keyword(s):

Error Correction ◽

Real Time ◽

Mobile Devices ◽

Correction Algorithm ◽

Real Time Detection ◽

Error Correction Algorithm

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