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Artykuły w czasopismach na temat "Joint equalisation and decoding"
Knickenberg, A., B. L. Yeap, J. Hámorský, M. Breiling i L. Hanzo. "Joint channel equalisation and channel decoding". Electronics Letters 35, nr 19 (1999): 1628. http://dx.doi.org/10.1049/el:19991126.
Pełny tekst źródłaQian, Xue-Cheng, Chun-Ming Zhao i Shi-Xin Cheng. "Iterative equalisation-decoding scheme". Electronics Letters 35, nr 22 (1999): 1917. http://dx.doi.org/10.1049/el:19991291.
Pełny tekst źródłaKim, N., i H. Park. "Low-complexity iterative equalisation and decoding for wireless optical communications". IET Communications 2, nr 1 (2008): 61. http://dx.doi.org/10.1049/iet-com:20060388.
Pełny tekst źródłaDarsena, D., G. Gelli, L. Paura i F. Verde. "Joint equalisation and interference suppression in OFDM systems". Electronics Letters 39, nr 11 (2003): 873. http://dx.doi.org/10.1049/el:20030542.
Pełny tekst źródłaLottici, V., A. N. D'Andrea i R. Reggiannini. "Joint predistortion and nonlinear equalisation for high-capacity wireless links". IEE Proceedings - Communications 150, nr 5 (2003): 329. http://dx.doi.org/10.1049/ip-com:20030647.
Pełny tekst źródłaKhaleghi Bizaki, H., i A. Falahati. "Joint channel estimation and spatial pre-equalisation in MIMO systems". Electronics Letters 43, nr 24 (2007): 1372. http://dx.doi.org/10.1049/el:20071390.
Pełny tekst źródłaErnst, D. "LMS adaptive algorithms for joint forward and decision feedback equalisation". IEE Proceedings F Radar and Signal Processing 138, nr 5 (1991): 520. http://dx.doi.org/10.1049/ip-f-2.1991.0069.
Pełny tekst źródłaChang, Yu-Kuan, Fang-Biau Ueng, Ye-Shun Shen i Cheng-Hui Liao. "Joint channel estimation and turbo equalisation for MIMO-OFDM-IM systems". International Journal of Electronics 106, nr 5 (10.12.2018): 721–40. http://dx.doi.org/10.1080/00207217.2018.1553246.
Pełny tekst źródłaKang, Donghoon, i Wangrok Oh. "Joint Demodulation and Decoding System for FTN". Journal of the Institute of Electronics and Information Engineers 52, nr 1 (25.01.2015): 17–23. http://dx.doi.org/10.5573/ieie.2015.52.1.017.
Pełny tekst źródłaDaneshgaran, F., M. Laddomada i M. Mondin. "Iterative joint channel decoding of correlated sources". IEEE Transactions on Wireless Communications 5, nr 10 (październik 2006): 2659–63. http://dx.doi.org/10.1109/twc.2006.04576.
Pełny tekst źródłaRozprawy doktorskie na temat "Joint equalisation and decoding"
Yeap, Bee Leong. "Turbo equalisation algorithms for full and partial response modulation". Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310853.
Pełny tekst źródłaShaheem, Asri. "Iterative detection for wireless communications". University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0223.
Pełny tekst źródłaWang, Jin. "Iterative source decoding, channel decoding and channel equalisation". Thesis, University of Southampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435723.
Pełny tekst źródłaIrizar, JoseÌ MariÌa Zabalegui. "Combined equalisation and decoding for OFDM over wireless fading channels". Thesis, Staffordshire University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272580.
Pełny tekst źródłaAbdulrazaq, Muhammad Bashir. "Reducing the complexity of equalisation and decoding of shingled writing". Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9332.
Pełny tekst źródłaIwaza, Lana, i Lana Iwaza. "Joint Source-Network Coding & Decoding". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00855787.
Pełny tekst źródłaIwaza, Lana. "Joint Source-Network Coding & Decoding". Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112048/document.
Pełny tekst źródłaWhile network data transmission was traditionally accomplished via routing, network coding (NC) broke this rule by allowing network nodes to perform linear combinations of the upcoming data packets. Network operations are performed in a specific Galois field of fixed size q. Decoding only involves a Gaussian elimination with the received network-coded packets. However, in practical wireless environments, NC might be susceptible to transmission errors caused by noise, fading, or interference. This drawback is quite problematic for real-time applications, such as multimediacontent delivery, where timing constraints may lead to the reception of an insufficient number of packets and consequently to difficulties in decoding the transmitted sources. At best, some packets can be recovered, while in the worst case, the receiver is unable to recover any of the transmitted packets.In this thesis, we propose joint source-network coding and decoding schemes in the purpose of providing an approximate reconstruction of the source in situations where perfect decoding is not possible. The main motivation comes from the fact that source redundancy can be exploited at the decoder in order to estimate the transmitted packets, even when some of them are missing. The redundancy can be either natural, i.e, already existing, or artificial, i.e, externally introduced.Regarding artificial redundancy, we choose multiple description coding (MDC) as a way of introducing structured correlation among uncorrelated packets. By combining MDC and NC, we aim to ensure a reconstruction quality that improves gradually with the number of received network-coded packets. We consider two different approaches for generating descriptions. The first technique consists in generating multiple descriptions via a real-valued frame expansion applied at the source before quantization. Data recovery is then achieved via the solution of a mixed integerlinear problem. The second technique uses a correlating transform in some Galois field in order to generate descriptions, and decoding involves a simple Gaussian elimination. Such schemes are particularly interesting for multimedia contents delivery, such as video streaming, where quality increases with the number of received descriptions.Another application of such schemes would be multicasting or broadcasting data towards mobile terminals experiencing different channel conditions. The channel is modeled as a binary symmetric channel (BSC) and we study the effect on the decoding quality for both proposed schemes. Performance comparison with a traditional NC scheme is also provided.Concerning natural redundancy, a typical scenario would be a wireless sensor network, where geographically distributed sources capture spatially correlated measures. We propose a scheme that aims at exploiting this spatial redundancy, and provide an estimation of the transmitted measurement samples via the solution of an integer quadratic problem. The obtained reconstruction quality is compared with the one provided by a classical NC scheme
Palanivelu, Arul Durai Murugan. "Tree search algorithms for joint detection and decoding". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1145039374.
Pełny tekst źródłaVu, Xuan Thang. "Joint Network / Channel Decoding over Noisy Wireless Networks". Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01060330.
Pełny tekst źródłaLi, Si 1981. "Joint synchronization, channel estimation and decoding techniques in OFDM systems". Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99522.
Pełny tekst źródłaIn this thesis, we study and develop joint synchronization, channel estimation and decoding schemes to provide high system performance at a relatively low complexity for uncoded and coded OFDM systems.
We first investigate and evaluate the performance of low-complexity time-domain joint synchronization and channel estimation scheme suitable for uncoded OFDM systems. The proposed scheme can operate with a large initial CFO range (up to +/-100% of carrier spacing). Its complexity is reduced by using a special FFT block for time-to-frequency channel response conversion and a track-and-hold (TAH) estimation strategy based on mid-ambles to eliminate the additional IFFT block required by time-domain estimation.
We then consider the turbo concept to develop an iterative joint synchronization, channel estimation and decoding scheme for coded OFDM systems operating at very low signal-to-noise ratios (SNRs). Instead of hard decisions, the estimator uses soft decisions of the transmitted data obtained from previous soft-input soft-output (SISO) decoder and consequently produces better estimates of the unknown parameters. These estimation results will then help data detector to generate more reliable soft inputs to the decoder. The whole process will be performed in an iterative manner and good system performance can be achieved with only a few iterations for moderate initial synchronization errors.
Książki na temat "Joint equalisation and decoding"
Michel, Kieffer, i ScienceDirect (Online service), red. Joint source-channel decoding: A cross-layer perspective with application in video broadcasting. London: Academic, 2009.
Znajdź pełny tekst źródłaJoint Source-Channel Decoding. Elsevier, 2010. http://dx.doi.org/10.1016/c2009-0-19065-7.
Pełny tekst źródłaGottman, Dennis Michael. Joint decoding and carrier phase estimation for trellis code modulation. 1994.
Znajdź pełny tekst źródłaRabinowitz, David. Joint convolutional and orthogonal decoding of interleaved-data frames for IS-95 CDMA communications. 1996.
Znajdź pełny tekst źródłaCzęści książek na temat "Joint equalisation and decoding"
Meerwald, Peter, i Teddy Furon. "Towards Joint Tardos Decoding: The ‘Don Quixote’ Algorithm". W Information Hiding, 28–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24178-9_3.
Pełny tekst źródłaItuero, Pablo, Gorka Landaburu, Javier Del Ser, Marisa López-Vallejo, Pedro M. Crespo, Vicente Atxa i Jon Altuna. "Joint Source-Channel Decoding ASIP Architecture for Sensor Networks". W Embedded Software and Systems, 98–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72685-2_10.
Pełny tekst źródłaKe, Miao, Zhiyong Liu i Xuerong Luo. "Joint Equalization and Raptor Decoding for Underwater Acoustic Communication". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 126–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69066-3_12.
Pełny tekst źródłaWang, Ying, i Kangming Jiang. "Joint De-modulation Decoding Algorithm for LDPC-Coded BICM System". W Frontiers in Computer Education, 875–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27552-4_115.
Pełny tekst źródłaFeng, Xiaocheng, Zhangyin Feng, Wanlong Zhao, Nan Zou, Bing Qin i Ting Liu. "Improved Neural Machine Translation with POS-Tagging Through Joint Decoding". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 159–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22968-9_14.
Pełny tekst źródłaRahman, Mir Lutfur, Pranta Sarker i Ahsan Habib. "A Faster Decoding Technique for Huffman Codes Using Adjacent Distance Array". W Proceedings of International Joint Conference on Computational Intelligence, 309–16. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3607-6_25.
Pełny tekst źródłaXiao, Weijie, Qiong Li, Xinxue Zhao i Qiang Gao. "Iterative Receiver with Joint Channel Estimation and Decoding in LTE Downlink". W Pervasive Computing and the Networked World, 647–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37015-1_56.
Pełny tekst źródłaSpiteri, Trevor, i Victor Buttigieg. "Maximum a Posteriori Decoding of Arithmetic Codes in Joint Source-Channel Coding". W Communications in Computer and Information Science, 363–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25206-8_24.
Pełny tekst źródłaPeng, Huailiang, Mengjun Shen, Lei Jiang, Qiong Dai i Jianlong Tan. "An Interactive Two-Pass Decoding Network for Joint Intent Detection and Slot Filling". W Natural Language Processing and Chinese Computing, 69–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60457-8_6.
Pełny tekst źródłaFeng, Jing, Hui Gao, Taotao Wang, Tiejun Lv i Weibin Guo. "Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 240–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72998-5_25.
Pełny tekst źródłaStreszczenia konferencji na temat "Joint equalisation and decoding"
Gardiljan, Z. "Decoding of DS-CDMA by codenser separation and subsequent equalisation". W IEE Colloquium on CDMA Techniques and Applications for Third Generation Mobile Systems. IEE, 1997. http://dx.doi.org/10.1049/ic:19970708.
Pełny tekst źródłaLi, Mu, Nan Duan, Dongdong Zhang, Chi-Ho Li i Ming Zhou. "Collaborative decoding". W the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690219.1690228.
Pełny tekst źródłaHenkel, Werner, Nazia S. Islam i M. Ahmed Leghari. "Joint Equalization and LDPC Decoding". W 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2019. http://dx.doi.org/10.1109/icumt48472.2019.8970730.
Pełny tekst źródłaRouvier, Mickael, Benoit Favre i Frederic Bechet. "Joint decoding of complementary utterances". W 2014 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2014. http://dx.doi.org/10.1109/slt.2014.7078576.
Pełny tekst źródłaHong, Xia, Sheng Chen i Chris J. Harris. "B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels". W 2014 International Joint Conference on Neural Networks (IJCNN). IEEE, 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889363.
Pełny tekst źródłaGeorgoulis, S. "Pre-equalisation, transmitter precoding and joint transmission techniques for time division duplex CDMA". W Second International Conference on 3G Mobile Communication Technologies (3G 2001). IEE, 2001. http://dx.doi.org/10.1049/cp:20010052.
Pełny tekst źródłaLiang, Zhiqin, Jiantao Zhou, Liwei Guo, Mengyao Ma i Oscar Au. "Joint Decoding of Multiple Video Streams". W Multimedia and Expo, 2007 IEEE International Conference on. IEEE, 2007. http://dx.doi.org/10.1109/icme.2007.4284906.
Pełny tekst źródłaLiu, Yang, Haitao Mi, Yang Feng i Qun Liu. "Joint decoding with multiple translation models". W the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690219.1690227.
Pełny tekst źródłaDeNero, John, David Chiang i Kevin Knight. "Fast consensus decoding over translation forests". W the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690219.1690226.
Pełny tekst źródłaLi, Zhifei, Jason Eisner i Sanjeev Khudanpur. "Variational decoding for statistical machine translation". W the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690219.1690229.
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