Готові списки джерел за темами / Error Protection

Добірка наукової літератури з теми "Error Protection"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 11 лютого 2022

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Статті в журналах з теми "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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Анотація:
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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Дисертації з теми "Error Protection"

1

Marka, Madhavi. "Object-based unequal error protection." Thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-06242002-152555.

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2

Ammar, Bassem AbuBakr. "Error protection and security for data transmission." Thesis, Lancaster University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421640.

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3

Deetzen, Neele von. "Modern coding schemes for unequal error protection." Aachen Shaker, 2009. http://d-nb.info/993093108/04.

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4

Yang, Guanghua. "Adaptive unequal error protection for wireless video transmissions." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37153791Bib.

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5

Charbit, Gilles Gerald. "Error protection techniques for frequency-hopping Spread-Spectrum." Thesis, Lancaster University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238955.

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6

Yang, Guanghua, and 楊光華. "Adaptive unequal error protection for wireless video transmissions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37153791.

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7

Yu, Kevin C. (Kevin Cherng-Kai). "Unequal error protection codes based on trellis shaping." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36034.

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8

Iqbal, Muhammad Imran. "On Perception-Based Error Protection for Mobile Multimedia." Doctoral thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00530.

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Анотація:
Representation of multimedia requires large amounts of data. Therefore, multimedia source signals are compressed to reduce the data rate that would otherwise be required for its transmission. However, compression renders multimedia data more vulnerable to transmission errors. Therefore, error protection is needed when transmitting multimedia to mobile users over wireless channels. As channel coding adds parity symbols to the data for error protection, which in turn increases transmission data rate, efficient utilization of this added parity budget becomes a key for insuring quality of service for mobile multimedia. Computing the optimal parity allocation among packets of a multimedia stream may not be possible in realtime due to the huge number of ways the parity can be assigned to these packets. Therefore, it is important to design powerful error protection schemes while imposing low computational and memory demands on the system. This is particularly true for systems having limited resources, such as mobile handheld devices. Given that human beings are the final judges on the quality of multimedia services, it will also be beneficial to use perceptual quality metrics that correlate well with human perception when evaluating different error protection schemes. In this work, we have considered the above aspects when designing error protection for mobile multimedia: Providing near optimal performance while keeping complexity low; designing and evaluating of error protection schemes based on perceptual quality metrics. The thesis is divided into five parts. In the first part, region of interest (ROI) identification, coding and advantages of ROI coding are investigated. In addition, a framework is proposed for using ROI coding in wireless imaging. The second part provides a number of unequal error protection (UEP) schemes for wireless imaging ranging from very simple and less efficient equal error protection to very complex yet optimal error protection. The proposed error protection schemes provide an excellent trade-off between performance and omplexity. In the third part, a framework for perception-based error protection of images and video streams is proposed. This framework is based on the fact that the human visual system is more sensitive to quality degradation in the ROI compared to the background. The proposed error protection scheme provides excellent performance. Part four deals with realtime systems and/or systems having limited memory and processing resources. Specifically, an UEP is proposed for wireless imaging systems which provides near optimal performance and puts very low processing/memory demands on the systems. Finally, in the fifth part, optimal UEP is analyzed. Based on the analysis, optimal UEP is modeled using several mathematical models. Each of the considered models is evaluated for its fitness in providing error protection. The simulation results show that most of the investigated models give excellent performance.
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9

Bredtmann, Oliver [Verfasser]. "Unequal Error Protection Coding of Quantized Data / Oliver Bredtmann." Aachen : Shaker, 2011. http://d-nb.info/1098039947/34.

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10

Sankaranarayanan, Sundararajan, Aleksandar Cvetković, and Bane Vasić. "UNEQUAL ERROR PROTECTION FOR JOINT SOURCE-CHANNEL CODING SCHEMES." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/607481.

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Анотація:
International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
A joint source-channel coding scheme (JSCCS) used in applications, like sending images, voice, music etc. over internet/ wireless networks, involves source coding to compress the information and channel coding to detect/ correct errors, introduced by the channel. In this paper, we investigate the unequal error protection (UEP) capability of a class of low-density parity-check (LDPC) codes in a JSCCS. This class of irregular LDPC codes is constructed from cyclic difference families (CDFs).
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Книги з теми "Error Protection"

1

Newton, D. E. Report on simulation of unequal error protection. Salford: University of Salford Department of Mathematics and Computer Science, 1995.

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2

Newton, D. E. Report on H/W realisation of unequal error protection. Salford: University of Salford Department of Mathematics and Computer Science, 1995.

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3

Devitt, Jason. Channel error protection strategies for digitally coded moving images. Dublin: University College Dublin, 1995.

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4

Chan, Sze Keong. Performance of an error protection scheme for ATM video. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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5

Shu, Lin. Cyclic unequal error protection codes constructed from cyclic codes of composite length. [Washington DC: National Aeronautics and Space Administration, 1987.

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6

United States. Congress. Senate. Committee on the Judiciary. The Innocence Protection Act of 2002: Report together with minority views (to accompany S. 486). [Washington, D.C: U.S. G.P.O., 2002.

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7

Workshop on Information Protection (1993 Moscow, Russia). Error control, cryptology, and speech compression: Workshop on Information Protection, Moscow, Russia, December 6-9, 1993 : selected papers. Berlin: Springer-Verlag, 1994.

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8

Innocence Protection Act of 2001: Hearing before the Subcommittee on Crime, Terrorism, and Homeland Security of the Committee on the Judiciary, House of Representatives, One Hundred Seventh Congress, second session, on H.R. 912, June 18, 2002. Washington, D.C: U.S. G.P.O., 2002.

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9

Crime, United States Congress House Committee on the Judiciary Subcommittee on. Innocence Protection Act of 2000: Hearing before the Subcommittee on Crime of the Committee on the Judiciary, House of Representatives, One Hundred Sixth Congress, second session, on H.R. 4167, June 20, 2000. Washington: U.S. G.P.O., 2000.

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10

Convolutional coding: Fundamentals and applications. Boston, Mass: Artech House, 1997.

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Частини книг з теми "Error Protection"

1

Hershey, John E., and R. K. Rao Yarlagadda. "The Channel and Error Control." In Data Transportation and Protection, 403–35. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2195-8_12.

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2

Mabogunje, A. O., and P. G. Farrell. "Construction of unequal error protection codes." In EUROCODE '90, 87–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54303-1_121.

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3

Gul, Ammara, and Stephen Wolthusen. "Error Propagation after Reordering Attacks on Hierarchical State Estimation." In Critical Infrastructure Protection XII, 67–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04537-1_4.

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4

Encheva, Sylvia, and Gérard Cohen. "Partially Identifying Codes for Copyright Protection." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, 260–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45624-4_27.

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5

Kim, Young Geun, Jeong-Han Yun, Siho Han, Hyoung Chun Kim, and Simon S. Woo. "Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns." In ICT Systems Security and Privacy Protection, 382–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78120-0_25.

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6

Chirila-Rus, Adrian, Gauthier Lafruit, and Bart Masschelein. "Scalability and Error Protection - Means for Error-Resilient, Adaptable Image Transmission in Heterogeneous Environments." In Ambient Intelligence: Impact on Embedded Sytem Design, 203–27. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/0-306-48706-3_11.

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7

Jesus, Cristiana S. C. M., and Jaime Portugheis. "Block Multidimensional MPSK Modulation Codes with Unequal Error Protection." In Digital Signal Processing for Communication Systems, 73–80. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6119-4_9.

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8

Lu, Dawei, Yiling Xu, Hao Chen, Zhiqian Jiang, Wenjun Zhang, and Ning Liu. "Performance Enhancement of NAND Flash Using Unequal Error Protection." In Communications in Computer and Information Science, 368–80. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8108-8_34.

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9

Marca, José Roberto B. "On Noisy Channel Quantizer Design for Unequal Error Protection." In Speech and Audio Coding for Wireless and Network Applications, 163–70. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3232-3_22.

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10

Liao, Chen-Yin, Jen-Wei Yeh, and Ming-Seng Kao. "A Copy Protection Technique Using Multi-level Error Coding." In Information Security and Cryptology – ICISC 2006, 222–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11927587_19.

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Тези доповідей конференцій з теми "Error Protection"

1

Rane, Shantanu D., and Bernd Girod. "Systematic lossy error protection versus layered coding with unequal error protection." In Electronic Imaging 2005, edited by Amir Said and John G. Apostolopoulos. SPIE, 2005. http://dx.doi.org/10.1117/12.587917.

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2

Mitra, Subhasish. "Soft Error Protection Techniques." In 2008 14th IEEE International On-Line Testing Symposium (IOLTS). IEEE, 2008. http://dx.doi.org/10.1109/iolts.2008.64.

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3

Feder, M., and A. Tavory. "Packet based unequal error-protection." In IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228230.

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4

Bursalioglu, Ozgun Y., and Giuseppe Caire. "Is Unequal Error Protection useful?" In 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6033770.

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5

Fadhel, Hussein, and Lei Cao. "On unequal error protection raptor codes." In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2015. http://dx.doi.org/10.1109/globalsip.2015.7418204.

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6

Cao, Yanan, Long Chen, and Zhao Zhang. "Memory design for selective error protection." In 2015 33rd IEEE International Conference on Computer Design (ICCD). IEEE, 2015. http://dx.doi.org/10.1109/iccd.2015.7357094.

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7

Soontae Kim. "Area-Efficient Error Protection for Caches." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.244101.

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8

Xu, Xiaoli, Yong Zeng, Yong Liang Guan, and Lei Yuan. "BATS code with unequal error protection." In 2016 IEEE International Conference on Communication Systems (ICCS). IEEE, 2016. http://dx.doi.org/10.1109/iccs.2016.7833563.

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9

Perez, Pablo, and Narciso Garcia. "Video prioritization for Unequal Error Protection." In 2011 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2011. http://dx.doi.org/10.1109/icce.2011.5722602.

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Lin Li, N. Vijaykrishnan, M. Kandemir, and M. J. Irwin. "Adaptive error protection for energy efficiency." In ICCAD-2003. International Conference on Computer Aided Design. IEEE, 2003. http://dx.doi.org/10.1109/iccad.2003.159662.

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Звіти організацій з теми "Error Protection"

1

Yu, Christopher C., and Daniel A. Newman. Comparison Study of Unequal Error Protection Methods for One-Dimensional Signal Constellations. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada290386.

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2

Begen, A., and T. Stockhammer. Guidelines for Implementing Digital Video Broadcasting - IPTV (DVB-IPTV) Application-Layer Hybrid Forward Error Correction (FEC) Protection. RFC Editor, August 2012. http://dx.doi.org/10.17487/rfc6683.

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3

Kozat, U., and A. Begen. Pseudo Content Delivery Protocol (CDP) for Protecting Multiple Source Flows in the Forward Error Correction (FEC) Framework. RFC Editor, November 2012. http://dx.doi.org/10.17487/rfc6801.

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4

Ding, Yan, Sung-Chan Kim, Rusty L. Permenter, Richard B. Styles, and Jeffery A. Gebert. Simulations of Shoreline Changes along the Delaware Coast. Engineer Research and Development Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/39559.

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Анотація:
This technical report presents two applications of the GenCade model to simulate long-term shoreline evolution along the Delaware Coast driven by waves, inlet sediment transport, and longshore sediment transport. The simulations also include coastal protection practices such as periodic beach fills, post-storm nourishment, and sand bypassing. Two site-specific GenCade models were developed: one is for the coasts adjacent to the Indian River Inlet (IRI) and another is for Fenwick Island. In the first model, the sediment exchanges among the shoals and bars of the inlet were simulated by the Inlet Reservoir Model (IRM) in the GenCade. An inlet sediment transfer factor (γ) was derived from the IRM to quantify the capability of inlet sediment bypassing, measured by a rate of longshore sediments transferred across an inlet from the updrift side to the downdrift side. The second model for the Fenwick Island coast was validated by simulating an 11-y ear-long shoreline evolution driven by longshore sediment transport and periodic beach fills. Validation of the two models was achieved through evaluating statistical errors of simulations. The effects of the sand bypassing operation across the IRI and the beach fills in Fenwick Island were examined by comparing simulation results with and without those protection practices. Results of the study will benefit planning and management of coastal sediments at the sites.
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