Academic literature on the topic 'Fer (frame error rate)'
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Journal articles on the topic "Fer (frame error rate)"
Elwekeil, Mohamed, Taotao Wang, and Shengli Zhang. "Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks." Sensors 19, no. 5 (2019): 1113. http://dx.doi.org/10.3390/s19051113.
Full textBalta, Horia, and Maria Balta. "8 States Triple Binary Convolutional Encoders for the Construction of Turbo Codes." Advanced Engineering Forum 8-9 (June 2013): 13–20. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.13.
Full textZhao, Hong Hao, Fan Bo Meng, Qing Qi Zhao, and Jie Wang. "A Novel Construction Method of QC-LDPC Codes Based on Generalized ACE Constrained." Advanced Materials Research 760-762 (September 2013): 1684–89. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1684.
Full textMurata, Takumi, and Hideki Ochiai. "Performance Analysis of CRC Codes for Systematic and Nonsystematic Polar Codes with List Decoding." Wireless Communications and Mobile Computing 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/7286909.
Full textChopra, Shakti Raj, Akhil Gupta, and Rakesh Kumar Jha. "Performance Analysis of Grouped Multilevel Space-Time Trellis Coding Technique Using Cognitive Radio in Different Deployment Models." Wireless Communications and Mobile Computing 2019 (December 6, 2019): 1–20. http://dx.doi.org/10.1155/2019/5280615.
Full textYin, Huiwen, Sida Li, Zhiping Huang, and Jie Chen. "A Novel Data-Aided Frame Synchronization Method Based on Hough Transform for Optical Communications." Photonics 7, no. 3 (2020): 65. http://dx.doi.org/10.3390/photonics7030065.
Full textYuan, Cao, and Ya Qin Li. "A New Delay-Based Congestion Control for Ad-Hoc Wireless Network." Applied Mechanics and Materials 160 (March 2012): 223–26. http://dx.doi.org/10.4028/www.scientific.net/amm.160.223.
Full textOluwafemi, Ilesanmi Banjo. "HybridConcatenated Coding Scheme for MIMO Systems." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 3 (2015): 464. http://dx.doi.org/10.11591/ijece.v5i3.pp464-476.
Full textOrtega, Lorenzo, Charly Poulliat, Marie Laure Boucheret, Marion Aubault Roudier, Hanaa Al-Bitar, and Pau Closas. "Low Complexity Robust Data Demodulation for GNSS." Sensors 21, no. 4 (2021): 1341. http://dx.doi.org/10.3390/s21041341.
Full textZhang, Lei, and Li Su. "Design of Improved BP Decoders and Corresponding LT Code Degree Distribution for AWGN Channels." Wireless Communications and Mobile Computing 2020 (October 20, 2020): 1–16. http://dx.doi.org/10.1155/2020/9517840.
Full textDissertations / Theses on the topic "Fer (frame error rate)"
Schulze, Stephan. "Design and implementation of a STANAG 5066 data rate change algorithm for high data rate autobaud waveforms." Diss., Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-01242006-094908.
Full textCHAKRABORTY, S. K., and R. K. RAJANGAM. "PROGRAMMABLE HIGH BIT RATE FRAME SYNCHRONISER." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614490.
Full textMirchandani, Chandru, David Fisher, and Parminder Ghuman. "Cost Beneficial Solution for High Rate Data Processing." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606836.
Full textFerdous, Arundhoti. "Comparative Analysis of Tag Estimation Algorithms on RFID EPC Gen-2 Performance." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6837.
Full textBooks on the topic "Fer (frame error rate)"
Benstead, Lindsay J. Survey Research in the Arab World. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.14.
Full textBook chapters on the topic "Fer (frame error rate)"
Dai, Yi, Ke-fei Wang, Wei-xia Xu, He-ying Zhang, and Shao-gang Wang. "Frame Error Rate Testing for High Speed Optical Interconnect." In Algorithms and Architectures for Parallel Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33065-0_4.
Full textCheok, Geraldine S., Marek Franaszek, Karl Van Wyk, and Jeremy A. Marvel. "Improving Automated Insertion Task in Robotics by Reducing Registration Error." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_8.
Full textRajendran, Deepalakshmi, and Vijayalakshmi R. "Multimedia Data Transmission." In Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4703-8.ch012.
Full textSang, Aimin, Guosen Yue, Xiaodong Wang, and Mohammad Madihian. "Cross-Layer Performance of Scheduling and Power Control Schemes in Space-Time Block Coded Downlink Packet Systems." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-988-5.ch018.
Full textYeh, Ping-Cheng, Hung-Yun Hsieh, Zhung-Han Wu, Yen-Chi Lee, Chun-Cheng Chiang, and Antonio Ou. "Codec Adaptation for Wireless Multimedia Streaming." In Digital Rights Management. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2136-7.ch024.
Full textYeh, Ping-Cheng, Hung-Yun Hsieh, Zhung-Han Wu, Yen-Chi Lee, Chun-Cheng Chiang, and Antonio Ou. "Codec Adaptation for Wireless Multimedia Streaming." In Advances in Multimedia and Interactive Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-144-3.ch004.
Full textGriffiths, Benjamin, and Malcolm J. Beynon. "Re-Sampling Based Data Mining Using Rough Set Theory." In Data Warehousing and Mining. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-951-9.ch192.
Full textSedano, Javier, José Ramón Villar, Leticia Curiel, Emilio Corchado, and Andrés Bustillo. "A Soft Computing System for Modelling the Manufacture of Steel Components." In Soft Computing Methods for Practical Environment Solutions. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-893-7.ch009.
Full textLewis, William M. "Eye of Newt." In Wetlands Explained. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195131833.003.0009.
Full text"strate IBE the upper bound of a 90% confidence interval for the above aggregate metric must fall below 2.49. The required upper bound can be calculated in at least three different ways: (1) method-of-moments estimation with a Cornish-Fisher approx-imation (Hyslop et al., 2000; FDA Guidance, 2001), (2) bootstrapping (FDA Guidance, 1997), and (3) by asymptotic approximations to the mean and variance of ν and ν (Patterson, 2003; Patterson and Jones, 2002b,c). Method (1) derives from theory that assumes the inde-pendence of chi-squared variables and is more appropriate to the analysis of a parallel group design. Hence it does not fully account for the within-subject correlation that is present in data obtained from cross-over tri-als. Moreover, the approach is potentially sensitive to bias introduced by missing data and imbalance in the study data (Patterson and Jones, 2002c). Method (2), which uses the nonparametric percentile bootstrap method (Efron and Tibshirani, 1993), was the earliest suggested method of calculating the upper bound (FDA Guidance, 1997), but it has sev-eral disadvantages. Among these are that it is computationally intensive and it introduces randomness into the final calculated upper bound. Re-cent modifications to ensure consistency of the bootstrap (Shao et al., 2000) do not appear to protect the Type I error rate (Patterson and Jones, 2002c) around the mixed-scaling cut-off (0.04) unless calibration (Efron and Tibshirani, 1993) is used. Use of such a calibration technique is questionable if one is making a regulatory submission. Hence, we pre-fer to use method (3) and will illustrate its use shortly. We note that this method appears to protect against inflation of the Type I error rate in IBE and PBE testing, and the use of REML ensures unbiased esti-mates (Patterson and Jones, 2002c) in data sets with missing data and imbalance, a common occurrence in cross-over designs, (Patterson and Jones, 2002a,b). In general (Patterson and Jones, 2002a), cross-over tri-als that have been used to test for IBE and PBE have used sample sizes in excess of 20 to 30 subjects, so asymptotic testing is not unreasonable, and there is a precedent for the use of such procedures in the study of pharmacokinetics (Machado et al., 1999). We present findings here based on asymptotic normal theory using REML and not taking into account shrinkage (Patterson and Jones, 2002b,c). It is possible to account for this factor using the approach of Harville and Jeske (1992); see also Ken-ward and Roger (1997). However, this approach is not considered here in the interests of space and as the approach described below appears to control the Type I error rate for sample sizes as low as 16 (Patterson and Jones, 2002c). In a 2 × 2 cross-over trial it is not possible to estimate separately the within-and between-subject variances and hence a replicate design, where subjects receiving each formulation more than once is required." In Design and Analysis of Cross-Over Trials. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9781420036091-19.
Full textConference papers on the topic "Fer (frame error rate)"
Afisiadis, Orion, Andreas Burg, and Alexios Balatsoukas-Stimming. "Coded LoRa Frame Error Rate Analysis." In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9148806.
Full textHerzet, Cedric, Xavier Wautelet, Valery Ramon, and Luc Vandendorpe. "Frame-Error-Rate-wise Optimal Code-Aided Hypothesis Testing." In 2006 IEEE International Conference on Communications. IEEE, 2006. http://dx.doi.org/10.1109/icc.2006.255292.
Full text"FRAME ERROR RATE EVALUATION OF A C-ARQ PROTOCOL WITH MAXIMUM-LIKELIHOOD FRAME COMBINING." In International Conference on Wireless Information Networks and Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0002022700150020.
Full textJiang, Dongcheng, Chao Zhang, and Philip C. Woodland. "Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning." In Interspeech 2021. ISCA, 2021. http://dx.doi.org/10.21437/interspeech.2021-2198.
Full textBandoh, Yukihiro, Seishi Takamura, Kazuto Kamikura, and Yoshiyuki Yashima. "Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5413754.
Full textSaouter, Yannick, and Sandrine Vaton. "Fast estimation of the Frame Error Rate for error-correcting codes by the generalized error impulse method." In 2008 5th International Symposium on Turbo Codes and Related Topics. IEEE, 2008. http://dx.doi.org/10.1109/turbocoding.2008.4658716.
Full textQiu, Liang, Eric J. Lawrence, Bill Ayres, et al. "40GBASE-SR4 Frame Error Rate Test of Chromatic Dispersion Compensating MMF." In National Fiber Optic Engineers Conference. OSA, 2013. http://dx.doi.org/10.1364/nfoec.2013.nw1j.6.
Full textKnobloch, Florian. "Channel gain and frame error rate for optical street lighting communication." In 2015 13th International Conference on Telecommunications (ConTEL). IEEE, 2015. http://dx.doi.org/10.1109/contel.2015.7231194.
Full textVehkapera, Mikko, and Markku Juntti. "Frame Error Rate Analysis of Coded MIMO Systems with Spatial Multiplexing." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.355030.
Full textSuga, Norisato, Naoto Egashira, Kazuto Yano, and Tomoaki Kumagai. "Frame error rate prediction for WLAN systems with multiband simultaneous transmission." In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. http://dx.doi.org/10.1109/pimrc.2017.8292376.
Full textReports on the topic "Fer (frame error rate)"
Leis, Sherry. Vegetation community monitoring at Lincoln Boyhood National Memorial: 2011–2019. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284711.
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