Journal articles: 'Error Protection'

1

Opperskalski, H. "Error insensitive distance protection." European Transactions on Electrical Power 2, no. 4 (September 6, 2007): 245–51. http://dx.doi.org/10.1002/etep.4450020408.

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2

Mheich, Zeina, Lei Wen, Pei Xiao, and Amine Maaref. "Unequal Error Protection SCMA Codebooks." IEEE Transactions on Vehicular Technology 68, no. 4 (April 2019): 4055–58. http://dx.doi.org/10.1109/tvt.2019.2898169.

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3

Kim, J., and G. J. Pottie. "Unequal error protection TCM codes." IEE Proceedings - Communications 148, no. 5 (2001): 265. http://dx.doi.org/10.1049/ip-com:20010509.

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4

Ramon, Marie, François-Xavier Coudoux, and Marc Gazalet. "An Adaptive Systematic Lossy Error Protection Scheme for Broadcast Applications Based on Frequency Filtering and Unequal Picture Protection." International Journal of Digital Multimedia Broadcasting 2009 (2009): 1–7. http://dx.doi.org/10.1155/2009/709813.

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Systematic lossy error protection (SLEP) is a robust error resilient mechanism based on principles of Wyner-Ziv (WZ) coding for video transmission over error-prone networks. In an SLEP scheme, the video bitstream is separated into two parts: a systematic part consisting of a video sequence transmitted without channel coding, and additional information consisting of a WZ supplementary stream. This paper presents an adaptive SLEP scheme in which the WZ stream is obtained by frequency filtering in the transform domain. Additionally, error resilience varies adaptively depending on the characteristics of compressed video. We show that the proposed SLEP architecture achieves graceful degradation of reconstructed video quality in the presence of increasing transmission errors. Moreover, it provides good performances in terms of error protection as well as reconstructed video quality if compared to solutions based on coarser quantization, while offering an interesting embedded scheme to apply digital video format conversion.

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5

Wei, L. F. "Coded modulation with unequal error protection." IEEE Transactions on Communications 41, no. 10 (1993): 1439–49. http://dx.doi.org/10.1109/26.237878.

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6

Calderbank, A. R., and N. Seshadri. "Multilevel codes for unequal error protection." IEEE Transactions on Information Theory 39, no. 4 (July 1993): 1234–48. http://dx.doi.org/10.1109/18.243441.

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7

Englund, E. K., and A. I. Hansson. "Constructive codes with unequal error protection." IEEE Transactions on Information Theory 43, no. 2 (March 1997): 715–21. http://dx.doi.org/10.1109/18.556129.

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8

Pavlushkov, V., R. Johannesson, and V. V. Zyablov. "Unequal error protection for convolutional codes." IEEE Transactions on Information Theory 52, no. 2 (February 2006): 700–708. http://dx.doi.org/10.1109/tit.2005.862122.

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9

Fan Pingzhi, Chen Zhi, and Jin Fan. "Linear unequal error-protection array codes." Electronics Letters 24, no. 6 (1988): 333. http://dx.doi.org/10.1049/el:19880225.

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10

Caire, G., and G. Lechner. "Turbo codes with unequal error protection." Electronics Letters 32, no. 7 (1996): 629. http://dx.doi.org/10.1049/el:19960463.

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11

Fan, Chen, Huijuan Cui, and Kun Tang. "Error-correcting for variable-length codes based on unequal error protection." Electronics Letters 39, no. 2 (2003): 221. http://dx.doi.org/10.1049/el:20030133.

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12

Osintsev, Anatoly A., Aleksandra I. Naumova, and Elena I. Gracheva. "Analysis of distance protection’s operation in cases of deep saturation of current transformers." E3S Web of Conferences 288 (2021): 01095. http://dx.doi.org/10.1051/e3sconf/202128801095.

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There is usually no information about permissible error of current transformers in modes succeed by large relative short-circuit current, at which microprocessor-based protections operate stably. By this reason, it is necessary to use data, defined for analog relays. It leads to value appreciation of a project because it is often essential to reduce current transformers’ error in case of a short circuit fault. Therefore, it is necessary to define the value of current transformers’ error, permitted for impedance relays. Conclusions of fundamental and applied sciences (mathematical analysis, theoretical foundations of electrical engineering, theory of simulation), analytical methods of researching nonlinear circuits and digital signal processing were used. A simulation model was created for setting overall tests of the current trans-former (CT) system. It was a relay protection device that reflected all the important properties of studied objects and allowed an analysis of digital distance protection’s operation at high levels of short-circuit currents. The factors influ-encing over digital distance protection’s operation in case of deep saturation of CTs were revealed, and a certain algorithm for definition of the permissible CT errors was proposed. Stable operation of digital distance protection was observed in case of a fault nearby the place of current transformers’ setting in all theoretically possible combinations of electrical system’s power and length of a protected electric power transmission line. It is valid if electric load choice is carried with account for stable protection’s operation in condition of a fault in the computational point and if voltage swell in secondary wirings is infeasible.

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13

Park, Ki-Hyeon, Mi-Young Nam, Jin-Soo Park, and Hong-Yeop Song. "Unequal Error Protection: Survey and Standardization Prospect." Journal of Korea Information and Communications Society 37C, no. 11 (November 30, 2012): 1054–63. http://dx.doi.org/10.7840/kics.2012.37c.11.1054.

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14

Brissett, Rudolph, and Janak Sodha. "On unequal error protection using convolutional codes." Signal Processing 77, no. 1 (August 1999): 63–70. http://dx.doi.org/10.1016/s0165-1684(99)00023-7.

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15

Hadi, Ammar, Emad Alsusa, and Arafat Al-Dweik. "Information unequal error protection using polar codes." IET Communications 12, no. 8 (May 15, 2018): 956–61. http://dx.doi.org/10.1049/iet-com.2017.1195.

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16

Posner, E., and Z. Reichstein. "Configurations for File Transfer Protocol Error Protection." IEEE Transactions on Communications 34, no. 3 (March 1986): 294–97. http://dx.doi.org/10.1109/tcom.1986.1096527.

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17

Stevens, P. "On decoding unequal error protection product codes." IEEE Transactions on Information Theory 36, no. 4 (July 1990): 890–95. http://dx.doi.org/10.1109/18.53753.

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18

Borade, Shashi, Baris Nakiboglu, and Lizhong Zheng. "Unequal Error Protection: An Information-Theoretic Perspective." IEEE Transactions on Information Theory 55, no. 12 (December 2009): 5511–39. http://dx.doi.org/10.1109/tit.2009.2032819.

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19

Popendorf, William. "Error Analysis in Assessing Respirator Protection Factors." Applied Occupational and Environmental Hygiene 10, no. 7 (July 1995): 606–15. http://dx.doi.org/10.1080/1047322x.1995.10387653.

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20

Weaver, H. T., W. T. Corbett, and J. M. Pimbley. "Soft error protection using asymmetric response latches." IEEE Transactions on Electron Devices 38, no. 6 (June 1991): 1555–57. http://dx.doi.org/10.1109/16.81644.

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21

Caire, G., and E. Biglieri. "Parallel concatenated codes with unequal error protection." IEEE Transactions on Communications 46, no. 5 (May 1998): 565–67. http://dx.doi.org/10.1109/26.668715.

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22

Kleijn, Willem B. "Source dependent channel coding with error protection." Journal of the Acoustical Society of America 94, no. 3 (September 1993): 1751. http://dx.doi.org/10.1121/1.408106.

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23

Rahnavard, Nazanin, Badri N. Vellambi, and Faramarz Fekri. "Rateless Codes With Unequal Error Protection Property." IEEE Transactions on Information Theory 53, no. 4 (April 2007): 1521–32. http://dx.doi.org/10.1109/tit.2007.892814.

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24

Aydinlik, M., and M. Salehi. "Turbo Coded Modulation for Unequal Error Protection." IEEE Transactions on Communications 56, no. 4 (April 2008): 555–64. http://dx.doi.org/10.1109/tcomm.2008.050323.

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25

Rane, S., P. Baccichet, and B. Girod. "Systematic Lossy Error Protection of Video Signals." IEEE Transactions on Circuits and Systems for Video Technology 18, no. 10 (October 2008): 1347–60. http://dx.doi.org/10.1109/tcsvt.2008.929135.

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26

Ivanov, Mikhail, Fredrik Brannstrom, Alexandre Graell i Amat, and Gianluigi Liva. "Unequal Error Protection in Coded Slotted ALOHA." IEEE Wireless Communications Letters 5, no. 5 (October 2016): 536–39. http://dx.doi.org/10.1109/lwc.2016.2600322.

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27

Lin, Wei-Hung, Shi-Jinn Horng, Tzong-Wann Kao, Rong-Jian Chen, Yuan-Hsin Chen, Cheng-Ling Lee, and Takao Terano. "Image copyright protection with forward error correction." Expert Systems with Applications 36, no. 9 (November 2009): 11888–94. http://dx.doi.org/10.1016/j.eswa.2009.04.026.

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28

Yang, Ching-Nung, Guo-Jau Chen, Tse-Shih Chen, and Rastislav Lukac. "Error Spreading Control in Image Steganographic Embedding Schemes Using Unequal Error Protection." Journal of Imaging Science and Technology 51, no. 4 (2007): 380. http://dx.doi.org/10.2352/j.imagingsci.technol.(2007)51:4(380).

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29

Patel, Jigisha N., Suprav Patnaik, and Saraiya Mansi. "Block Classification and Transmission of Compressed Image with Bit Allocation and Unequal Error Protection." International Journal of Computer Theory and Engineering 8, no. 4 (August 2016): 350–54. http://dx.doi.org/10.7763/ijcte.2016.v8.1070.

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30

Al-Jobouri, Laith, Martin Fleury, and Mohammed Ghanbari. "Protecting H.264/AVC Data-Partitioned Video Streams over Broadband WiMAX." Advances in Multimedia 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/129517.

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Broadband wireless technology, though aimed at video services, also poses a potential threat to video services, as wireless channels are prone to error bursts. In this paper, an adaptive, application-layer Forward Error Correction (FEC) scheme protects H.264/AVC data-partitioned video. Data partitioning is the division of a compressed video stream into partitions of differing decoding importance. The paper determines whether equal error protection (EEP) through FEC of all partition types or unequal error protection (UEP) of the more important partition type is preferable. The paper finds that, though UEP offers a small reduction in bitrate, if EEP is employed, there are significant gains (several dBs) in video quality. Overhead from using EEP rather than UEP was found to be around 1% of the overall bitrate. Given that data partitioning already reduces errors through packet size reduction and differentiation of coding data, EEP with data partitioning is a practical means of protecting user-based video streaming. The gain from employing EEP is shown to be higher quality video to the user, which will result in a greater take-up of video services. The results have implications for other forms of prioritized video streaming.

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31

Kornienko, Anatoly A., Alexander P. Glukhov, Svetlana V. Diasamidze, and Alexander M. Shatov. "Software protection of the maglev transport control system." Transportation Systems and Technology 4, no. 4 (December 19, 2018): 138–45. http://dx.doi.org/10.17816/transsyst201844138-145.

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Background: The article examines the issues of regulation and the development of methodological approaches to ensuring the security of the software system for the management of magnetic-leaving transport at all stages of the life cycle, as well as the development of a tool to detect high-level (logical) software vulnerabilities. Aim: Development of a methodology for the creation of an error-free and impact-resistant software for the management system of magnetic-levitational transport. Methods: In the development of the methodology, the existing practices of searching for errors and vulnerabilities in software and approaches to the algorithmization of program code were studied. Results: During the study, a methodology was developed for creating an error-free and impact-resistant software for the management system of magnetic-levitational transport, which makes it possible to exclude the possibility of errors in the software, which significantly increases the safety of the overall transportation process. Conclusion: The application of the developed technique will improve the security of software for magnetic levitation transport control system from destructive external influences

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32

Joohee Kim, R. M. Mersereau, and Y. Altunbasak. "Error-resilient image and video transmission over the internet using unequal error protection." IEEE Transactions on Image Processing 12, no. 2 (February 2003): 121–31. http://dx.doi.org/10.1109/tip.2003.809006.

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33

Demirci, Mustafa, Pedro Reviriego, and Juan Antonio Maestro. "Unequal Error Protection Codes Derived from Double Error Correction Orthogonal Latin Square Codes." IEEE Transactions on Computers 65, no. 9 (September 1, 2016): 2932–38. http://dx.doi.org/10.1109/tc.2015.2498547.

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34

Souza, Richard Demo, Marcelo Eduardo Pellenz, and Zaqueu Cabral Pereira. "On unequal error protection for LZSS compressed data." annals of telecommunications - annales des télécommunications 65, no. 5-6 (October 17, 2009): 285–92. http://dx.doi.org/10.1007/s12243-009-0136-8.

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35

Huang, Ying, Jing Lei, and Ling Yong. "Research on Unequal Error Protection Turbo Product Codes." Journal of Electronics & Information Technology 30, no. 7 (March 25, 2011): 1648–50. http://dx.doi.org/10.3724/sp.j.1146.2007.00223.

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36

Westerink, P. H., J. H. Weber, D. E. Boekee, and J. W. Limpers. "Adaptive channel error protection of subband encoded images." IEEE Transactions on Communications 41, no. 3 (March 1993): 454–59. http://dx.doi.org/10.1109/26.221073.

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37

Buch, G., and F. Burkert. "Concatenated Reed-Muller codes for unequal error protection." IEEE Communications Letters 3, no. 7 (July 1999): 202–4. http://dx.doi.org/10.1109/4234.775254.

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38

Chang, Ronald Y., Sian-Jheng Lin, and Wei-Ho Chung. "Hierarchical Space Shift Keying for Unequal Error Protection." IEEE Communications Letters 16, no. 9 (September 2012): 1341–44. http://dx.doi.org/10.1109/lcomm.2012.070512.120242.

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39

Morelos-Zaragoza, R. H., and Shu Lin. "QPSK block-modulation codes for unequal error protection." IEEE Transactions on Information Theory 41, no. 2 (March 1995): 576–81. http://dx.doi.org/10.1109/18.370154.

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40

Huang, Jingxuan, Zesong Fei, Congzhe Cao, Ming Xiao, and Dai Jia. "On-Line Fountain Codes With Unequal Error Protection." IEEE Communications Letters 21, no. 6 (June 2017): 1225–28. http://dx.doi.org/10.1109/lcomm.2017.2669319.

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41

Chang, Seok-Ho, Minjoong Rim, Pamela C. Cosman, and Laurence B. Milstein. "Optimized Unequal Error Protection Using Multiplexed Hierarchical Modulation." IEEE Transactions on Information Theory 58, no. 9 (September 2012): 5816–40. http://dx.doi.org/10.1109/tit.2011.2173613.

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42

Sejdinovic, D., D. Vukobratovic, A. Doufexi, V. Senk, and R. Piechocki. "Expanding window fountain codes for unequal error protection." IEEE Transactions on Communications 57, no. 9 (September 2009): 2510–16. http://dx.doi.org/10.1109/tcomm.2009.09.070616.

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43

Condo, Carlo, Guido Masera, and Paolo Montuschi. "Unequal Error Protection of Memories in LDPC Decoders." IEEE Transactions on Computers 64, no. 10 (October 1, 2015): 2981–93. http://dx.doi.org/10.1109/tc.2014.2378271.

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44

Rahnavard, Nazanin, Hossein Pishro-Nik, and Faramarz Fekri. "Unequal Error Protection Using Partially Regular LDPC Codes." IEEE Transactions on Communications 55, no. 3 (March 2007): 387–91. http://dx.doi.org/10.1109/tcomm.2007.892436.

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45

Alavi, A., R. Link, and S. Kallel. "Adaptive unequal error protection for subband image coding." IEEE Transactions on Broadcasting 46, no. 3 (2000): 197–205. http://dx.doi.org/10.1109/11.892156.

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46

Wang, Q., and S. N. Koh. "Joint MELP turbo code with unequal error protection." Electronics Letters 37, no. 10 (2001): 637. http://dx.doi.org/10.1049/el:20010456.

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47

Xie, Lei, Huifang Chen, S. Egami, and Peiliang Qiu. "Modified Plotkin bound for unequal error protection codes." Electronics Letters 38, no. 18 (2002): 1041. http://dx.doi.org/10.1049/el:20020704.

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48

Sun, Y. ‐C, and W. ‐J Tsai. "Analysis of unequal error protection for LDPCA codes." Electronics Letters 49, no. 2 (January 2013): 102–4. http://dx.doi.org/10.1049/el.2012.2470.

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49

Mohammadi, A. H. S., and A. K. Khandani. "Unequal error protection on turbo-encoder output bits." Electronics Letters 33, no. 4 (1997): 273. http://dx.doi.org/10.1049/el:19970178.

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50

Cui, Chen, Wei Xiang, Zhenyong Wang, and Qing Guo. "Polar codes with the unequal error protection property." Computer Communications 123 (June 2018): 116–25. http://dx.doi.org/10.1016/j.comcom.2018.02.013.

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Journal articles on the topic 'Error Protection'

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