Academic literature on the topic 'Joint equalisation and decoding'
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Journal articles on the topic "Joint equalisation and decoding"
Knickenberg, A., B. L. Yeap, J. Hámorský, M. Breiling, and L. Hanzo. "Joint channel equalisation and channel decoding." Electronics Letters 35, no. 19 (1999): 1628. http://dx.doi.org/10.1049/el:19991126.
Full textQian, Xue-Cheng, Chun-Ming Zhao, and Shi-Xin Cheng. "Iterative equalisation-decoding scheme." Electronics Letters 35, no. 22 (1999): 1917. http://dx.doi.org/10.1049/el:19991291.
Full textKim, N., and H. Park. "Low-complexity iterative equalisation and decoding for wireless optical communications." IET Communications 2, no. 1 (2008): 61. http://dx.doi.org/10.1049/iet-com:20060388.
Full textDarsena, D., G. Gelli, L. Paura, and F. Verde. "Joint equalisation and interference suppression in OFDM systems." Electronics Letters 39, no. 11 (2003): 873. http://dx.doi.org/10.1049/el:20030542.
Full textLottici, V., A. N. D'Andrea, and R. Reggiannini. "Joint predistortion and nonlinear equalisation for high-capacity wireless links." IEE Proceedings - Communications 150, no. 5 (2003): 329. http://dx.doi.org/10.1049/ip-com:20030647.
Full textKhaleghi Bizaki, H., and A. Falahati. "Joint channel estimation and spatial pre-equalisation in MIMO systems." Electronics Letters 43, no. 24 (2007): 1372. http://dx.doi.org/10.1049/el:20071390.
Full textErnst, D. "LMS adaptive algorithms for joint forward and decision feedback equalisation." IEE Proceedings F Radar and Signal Processing 138, no. 5 (1991): 520. http://dx.doi.org/10.1049/ip-f-2.1991.0069.
Full textChang, Yu-Kuan, Fang-Biau Ueng, Ye-Shun Shen, and Cheng-Hui Liao. "Joint channel estimation and turbo equalisation for MIMO-OFDM-IM systems." International Journal of Electronics 106, no. 5 (December 10, 2018): 721–40. http://dx.doi.org/10.1080/00207217.2018.1553246.
Full textKang, Donghoon, and Wangrok Oh. "Joint Demodulation and Decoding System for FTN." Journal of the Institute of Electronics and Information Engineers 52, no. 1 (January 25, 2015): 17–23. http://dx.doi.org/10.5573/ieie.2015.52.1.017.
Full textDaneshgaran, F., M. Laddomada, and M. Mondin. "Iterative joint channel decoding of correlated sources." IEEE Transactions on Wireless Communications 5, no. 10 (October 2006): 2659–63. http://dx.doi.org/10.1109/twc.2006.04576.
Full textDissertations / Theses on the topic "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.
Full textShaheem, 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.
Full textWang, 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.
Full textIrizar, 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.
Full textAbdulrazaq, Muhammad Bashir. "Reducing the complexity of equalisation and decoding of shingled writing." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9332.
Full textIwaza, Lana, and Lana Iwaza. "Joint Source-Network Coding & Decoding." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00855787.
Full textIwaza, Lana. "Joint Source-Network Coding & Decoding." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112048/document.
Full textWhile 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.
Full textVu, 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.
Full textLi, 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.
Full textIn 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.
Books on the topic "Joint equalisation and decoding"
Michel, Kieffer, and ScienceDirect (Online service), eds. Joint source-channel decoding: A cross-layer perspective with application in video broadcasting. London: Academic, 2009.
Find full textJoint Source-Channel Decoding. Elsevier, 2010. http://dx.doi.org/10.1016/c2009-0-19065-7.
Full textGottman, Dennis Michael. Joint decoding and carrier phase estimation for trellis code modulation. 1994.
Find full textRabinowitz, David. Joint convolutional and orthogonal decoding of interleaved-data frames for IS-95 CDMA communications. 1996.
Find full textBook chapters on the topic "Joint equalisation and decoding"
Meerwald, Peter, and Teddy Furon. "Towards Joint Tardos Decoding: The ‘Don Quixote’ Algorithm." In Information Hiding, 28–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24178-9_3.
Full textItuero, Pablo, Gorka Landaburu, Javier Del Ser, Marisa López-Vallejo, Pedro M. Crespo, Vicente Atxa, and Jon Altuna. "Joint Source-Channel Decoding ASIP Architecture for Sensor Networks." In Embedded Software and Systems, 98–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72685-2_10.
Full textKe, Miao, Zhiyong Liu, and Xuerong Luo. "Joint Equalization and Raptor Decoding for Underwater Acoustic Communication." In 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.
Full textWang, Ying, and Kangming Jiang. "Joint De-modulation Decoding Algorithm for LDPC-Coded BICM System." In Frontiers in Computer Education, 875–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27552-4_115.
Full textFeng, Xiaocheng, Zhangyin Feng, Wanlong Zhao, Nan Zou, Bing Qin, and Ting Liu. "Improved Neural Machine Translation with POS-Tagging Through Joint Decoding." In 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.
Full textRahman, Mir Lutfur, Pranta Sarker, and Ahsan Habib. "A Faster Decoding Technique for Huffman Codes Using Adjacent Distance Array." In 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.
Full textXiao, Weijie, Qiong Li, Xinxue Zhao, and Qiang Gao. "Iterative Receiver with Joint Channel Estimation and Decoding in LTE Downlink." In 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.
Full textSpiteri, Trevor, and Victor Buttigieg. "Maximum a Posteriori Decoding of Arithmetic Codes in Joint Source-Channel Coding." In 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.
Full textPeng, Huailiang, Mengjun Shen, Lei Jiang, Qiong Dai, and Jianlong Tan. "An Interactive Two-Pass Decoding Network for Joint Intent Detection and Slot Filling." In 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.
Full textFeng, Jing, Hui Gao, Taotao Wang, Tiejun Lv, and Weibin Guo. "Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System." In 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.
Full textConference papers on the topic "Joint equalisation and decoding"
Gardiljan, Z. "Decoding of DS-CDMA by codenser separation and subsequent equalisation." In IEE Colloquium on CDMA Techniques and Applications for Third Generation Mobile Systems. IEE, 1997. http://dx.doi.org/10.1049/ic:19970708.
Full textLi, Mu, Nan Duan, Dongdong Zhang, Chi-Ho Li, and Ming Zhou. "Collaborative decoding." In 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.
Full textHenkel, Werner, Nazia S. Islam, and M. Ahmed Leghari. "Joint Equalization and LDPC Decoding." In 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.
Full textRouvier, Mickael, Benoit Favre, and Frederic Bechet. "Joint decoding of complementary utterances." In 2014 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2014. http://dx.doi.org/10.1109/slt.2014.7078576.
Full textHong, Xia, Sheng Chen, and Chris J. Harris. "B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels." In 2014 International Joint Conference on Neural Networks (IJCNN). IEEE, 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889363.
Full textGeorgoulis, S. "Pre-equalisation, transmitter precoding and joint transmission techniques for time division duplex CDMA." In Second International Conference on 3G Mobile Communication Technologies (3G 2001). IEE, 2001. http://dx.doi.org/10.1049/cp:20010052.
Full textLiang, Zhiqin, Jiantao Zhou, Liwei Guo, Mengyao Ma, and Oscar Au. "Joint Decoding of Multiple Video Streams." In Multimedia and Expo, 2007 IEEE International Conference on. IEEE, 2007. http://dx.doi.org/10.1109/icme.2007.4284906.
Full textLiu, Yang, Haitao Mi, Yang Feng, and Qun Liu. "Joint decoding with multiple translation models." In 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.
Full textDeNero, John, David Chiang, and Kevin Knight. "Fast consensus decoding over translation forests." In 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.
Full textLi, Zhifei, Jason Eisner, and Sanjeev Khudanpur. "Variational decoding for statistical machine translation." In 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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