Relevant bibliographies by topics / Channel equalization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Channel equalization'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Channel equalization"

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Dikhaminjia, Nana, Mikheil Tsiklauri, Zurab Kiguradze, et al. "Analytical method for joint optimization of FFE and DFE equalizations for multi-level signals." Journal of Electrical Engineering 73, no. 4 (2022): 284–91. http://dx.doi.org/10.2478/jee-2022-0037.

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Abstract Channel equalization is the efficient method for recovering distorted signal and correspondingly reducing bit error rate (BER). Different type of equalizations, like feed forward equalization (FFE) and decision feedback equalization (DFE) are canceling channel effect and recovering channel response. Separate optimization of tap coefficients for FFE and DFE does not give optimal result. In this case FFE and DFE tap coefficients are found separately and they are not collaborating. Therefore, the final equalization result is not global optimal. In the present paper new analytical method
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Simerjeet Kaur, Dr Kamal Kumar Sharma, and Mr Navnidhi Sharma. "Literature Review on BER Improvement of Adaptive Equalizer." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 5 (2019): 12–20. http://dx.doi.org/10.46828/ijrisat.v3i5.133.

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Channel equalization is an important aspect in high speed digital communication required for efficient and reliable data recovery and reception when the data is transmitted over band-limited channel subjected to noise and interference. We investigate channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provide significantly improved bit error rate (BER) performance. Due to the high complexity of nonlinear equalizers and poor performance of linear ones, to equalize highly difficult channels, we employ piecewise line
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Sun, Jing, Md Gapar Md Johar, and Jacquline Tham. "Design of Channel Estimation and Channel Equalization Scheme for Massive MIMO-OFDM Communication System." International Journal of Computer Science and Information Technology 5, no. 1 (2025): 234–40. https://doi.org/10.62051/ijcsit.v5n1.22.

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The combination of massive MIMO (massive multiple input multiple output) technology and OFDM (orthogonal frequency division multiplexing) technology has become one of the key technologies in modern wireless communication systems. With the increase in the number of antennas and the complexity of communication channels, channel estimation and channel equalization have become important technical means to ensure system performance. In this paper, a channel estimation method and an adaptive equalization method based on the guide frequency signal are proposed to address the problems of channel disto
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Litwin, L. R. "Blind channel equalization." IEEE Potentials 18, no. 4 (1999): 9–12. http://dx.doi.org/10.1109/45.796095.

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Peng, Cong, Lei Wang, Lerong Hong, Zehua Lin, and An Luo. "Turbo Equalization Based on a Virtual Decoder for Underwater Acoustic Communication." Journal of Marine Science and Engineering 13, no. 6 (2025): 1099. https://doi.org/10.3390/jmse13061099.

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By transferring external information between the equalizer and the decoder iteratively, the performance of turbo equalization is close to the channel capacity. Conventional turbo equalization (CTE) relies on channel coding, while the transmission of external information is a problem in an uncoded system, and turbo equalization without channel coding (TECC) remains unexplored. Therefore, this paper introduces a TECC framework with a virtual decoder constructed by bidirectional processing. The main innovation is that the existence of the virtual decoder enables the transmission of external infor
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Panta, Jariya, Poompat Saengudomlert, and Keattisak Sripimanwat. "Performance Improvement of ACO-OFDM Indoor Optical Wireless Transmissions Using Partial Pre-Equalization." ECTI Transactions on Electrical Engineering, Electronics, and Communications 14, no. 1 (2015): 1–11. http://dx.doi.org/10.37936/ecti-eec.2016141.171081.

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This paper analyzes the performances and presents the benets of partial pre-equalization for indoor optical wireless transmissions based on asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) with intensity modulation and direct detection (IM/DD). In particular, for diffuse indoor optical wireless channels, partial pre-equalization can reduce the optical transmit power over post-equalization at the same target bit error rate (BER) for point-to-point transmissions even with imperfect channel knowledge. To further im-prove its performance, bit loading is consider
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Noori, Awab, Angela Amphawan, Alaan Ghazi, and S. A. Aljunid Ghazi. "Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 127–35. http://dx.doi.org/10.11591/eei.v8i1.1399.

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The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels.
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Awab, Noori, Amphawan Angela, Ghazi Alaan, and A. Aljunid Ghazi S. "Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 127–35. https://doi.org/10.11591/eei.v8i1.1399.

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The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels.
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Liavas, A. P. "Least-squares channel equalization performance versus equalization delay." IEEE Transactions on Signal Processing 48, no. 6 (2000): 1832–35. http://dx.doi.org/10.1109/78.845949.

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Wang, Xin, Zhe Jiang, and Xiao-Hong Shen. "Low Complexity Equalization of Orthogonal Chirp Division Multiplexing in Doubly-Selective Channels." Sensors 20, no. 11 (2020): 3125. http://dx.doi.org/10.3390/s20113125.

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Orthogonal Chirp Division Multiplexing (OCDM) is a modulation scheme which outperforms the conventional Orthogonal Frequency Division Multiplexing (OFDM) under frequency selective channels by using chirp subcarriers. However, low complexity equalization algorithms for OCDM based systems under doubly selective channels have not been investigated yet. Moreover, in OCDM, the usage of different phase matrices in modulation will lead to extra storage overhead. In this paper, we investigate an OCDM based modulation scheme termed uniform phase-Orthogonal Chirp Division Multiplexing (UP-OCDM) for high
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Dissertations / Theses on the topic "Channel equalization"

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Shiao, Fu-Sheng. "Combined Channel Estimation and Turbo Equalization for Wireless Channels." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1189.

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Single-carrier linear modulation techniques combined with frequency-domain equalization provide a viable alternative to multicarrier techniques for combating multipath fading in channels with large delay spread. Such modulations tolerate frequency offset and have well controlled peak to average power ratio. They have comparable complexity to orthogonal frequency division multiplexing (OFDM) systems, and are more robust to synchronization errors. If error correction coding is used, then information can be iteratively passed between the equalizer and the decoder to improve performance. This
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Lu, Biao. "Wireline channel estimation and equalization /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004324.

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Çiftçi, Mahmut. "Channel equalization for chaotic communications systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15464.

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COSTA, BERNARDO RODRIGUES DA. "CHANNEL EQUALIZATION IN BLOCK TRANSMISSION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11845@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A necessidade pela transmissão em altas taxas, por exemplo nos novos sistemas de TV Digital de alta definição, telefonia celular de terceira e quarta geração, DSL e etc, trazem consigo um problema: o aumento dos múltiplos percursos no canal de comunicações (principalmente nas interfaces áereas), dando origem ao fenômeno de interferência intersimbólica (IES). Este trabalho investiga o desempenho de sistemas de transmissão com uma única portadora (SC ou single-carrier) com equalização linear no domínio da freqüência. Diferentes
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Gurrapu, Omprakash. "Adaptive filter algorithms for channel equalization." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19219.

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Equalization techniques compensate for the time dispersion introduced bycommunication channels and combat the resulting inter-symbol interference (ISI) effect.Given a channel of unknown impulse response, the purpose of an adaptive equalizer is tooperate on the channel output such that the cascade connection of the channel and theequalizer provides an approximation to an ideal transmission medium. Typically,adaptive equalizers used in digital communications require an initial training period,during which a known data sequence is transmitted. A replica of this sequence is madeavailable at the re
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Yao, Ning. "Iterative algorithms for channel estimation and equalization /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202005%20YAO.

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Mheidat, Hakam. "Channel Estimation and Equalization for Cooperative Communication." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2852.

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The revolutionary concept of space-time coding introduced in the last decade has demonstrated that the deployment of multiple antennas at the transmitter allows for simultaneous increase in throughput and reliability because of the additional degrees of freedom offered by the spatial dimension of the wireless channel. However, the use of antenna arrays is not practical for deployment in some practical scenarios, e. g. , sensor networks, due to space and power limitations. <br /><br /> A new form of realizing transmit diversity has been recently introduced under the name of user cooper
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Jalali, Sammuel. "Wireless Channel Equalization in Digital Communication Systems." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cgu_etd/42.

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Our modern society has transformed to an information-demanding system, seeking voice, video, and data in quantities that could not be imagined even a decade ago. The mobility of communicators has added more challenges. One of the new challenges is to conceive highly reliable and fast communication system unaffected by the problems caused in the multipath fading wireless channels. Our quest is to remove one of the obstacles in the way of achieving ultimately fast and reliable wireless digital communication, namely Inter-Symbol Interference (ISI), the intensity of which makes the channel noise i
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Barron, Richard J. (Richard John). "Channel equalization for self-synchronizing chaotic systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38828.

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Song, Liying Tugnait Jitendra K. "Channel estimation and equalization for doubly-selective channels using basis expansion models." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Electrical_and_Computer_Engineering/Dissertation/Song_Liying_29.pdf.

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Books on the topic "Channel equalization"

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Bottomley, Gregory E. Channel Equalization for Wireless Communications. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118105283.

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Jiang, Yufei, Xu Zhu, Eng Gee Lim, Yi Huang, and Hai Lin. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24984-1.

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Zhang, Wen Pian Paul. Transmitter-induced cyclostationarity for blind channel identification and equalization. National Library of Canada, 2000.

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E, Ziemer Rodger, ed. Fading channels and equalization. IEEE, 1992.

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Holden, Michael. Equalization: Implications of recent changes. Library of Parliament, 2006.

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Tse, Eloise. Blind equalization with differential detection for channels with ISI and fading. National Library of Canada = Bibliothèque nationale du Canada, 1999.

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Lam, Stephen Wai-Bun. Sub-optimal equalizations of differentially detected PSK in fading channels. National Library of Canada, 2000.

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Gutiérrez, Alberto. Equalization and detection for digital communication over nonlinear bandlimited satellite communication channels. New Mexico State University, 1995.

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Alberto, Gutiérrez. Equalization and detection for digital communication over nonlinear bandlimited satellite communication channels. New Mexico State University, 1995.

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1944-, Prengel Annedore, Heinzel Friederike 1962-, and Geiling Ute 1952-, eds. Demokratische Perspektiven in der Pädagogik: Annedore Prengel zum 60. Geburtstag. VS Verlag für Sozialwissenschaften, 2004.

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Book chapters on the topic "Channel equalization"

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Papagiannakis, Ioannis, G. Bosco, Daniel Fonseca, et al. "Electronic Channel Equalization Techniques." In Towards Digital Optical Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01524-3_3.

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Kirkland, William R., and D. P. Taylor. "Neural Network Channel Equalization." In Neural Networks in Telecommunications. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2734-3_8.

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Prasad, Ramjee, Muhammad Imadur Rahman, Suvra Sekhar Das, and Nicola Marchetti. "Channel Estimation and Equalization." In Single- And Multi-Carrier Mimo Transmission for Broadband Wireless Systems. River Publishers, 2022. http://dx.doi.org/10.1201/9781003339533-7.

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Cid-Sueiro, Jesús, and Aníbal R. Figueiras-Vidal. "Channel Equalization with Neural Networks." In Digital Signal Processing in Telecommunications. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1019-4_6.

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Proakis, John G. "Adaptive Algorithms for Blind Channel Equalization." In Linear Algebra for Signal Processing. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4228-4_8.

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Park, Hyung-Min, Sang-Hoon Oh, and Soo-Young Lee. "Blind Equalization Using Direct Channel Estimation." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_72.

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Cantoni, A., B. Vo, Z. Zang, and K. L. Teo. "Analog Envelope Constrained Filters for Channel Equalization." In Information Technology: Transmission, Processing and Storage. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1013-2_31.

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Broeck, Isabella, Marco Kullmann, and Uli Sorger. "Reduced State Joint Channel Estimation and Equalization." In Multi-Carrier Spread Spectrum & Related Topics. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4463-0_33.

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Harrington, Edward. "Expert Mixture Methods for Adaptive Channel Equalization." In Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44989-2_64.

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Panazio, Cristiano M., Aline O. Neves, Renato R. Lopes, and Joao M. T. Romano. "Channel Equalization Techniques for Wireless Communications Systems." In Optimizing Wireless Communication Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_8.

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Conference papers on the topic "Channel equalization"

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Huttebraucker, Tomás, Mohamed Sana, and Emilio Calvanese Strinati. "Latent Space Alignment for Semantic Channel Equalization." In 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). IEEE, 2024. http://dx.doi.org/10.1109/icmlcn59089.2024.10625015.

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Singh, Harmandeep, and S. S. Gill. "Approaches to Channel Equalization." In Communication Technologies (ACCT). IEEE, 2012. http://dx.doi.org/10.1109/acct.2012.31.

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Venkataramani, Raman, and Sundararajan Sankaranarayanan. "Optimal Channel Shortening Equalization for MIMO ISI Channels." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.638.

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Shaheem, Asri, Hans-Jurgen Zepernick, and Manora Caldera. "Enhanced channel shortened turbo equalization." In 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760506.

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Burns, Vaidyanathan, Gay-Bellile, and Marchal. "Array processing for channel equalization." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005368.

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Burns, G., K. Vaidyanathan, O. Gay-Bellile, and X. Marchal. "Array processing for channel equalization." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745330.

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Li, Wenliang, Shanxiang Mu, and Feng Liu. "Channel equalization based convex optimization." In 2015 International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2015. http://dx.doi.org/10.1109/wcsp.2015.7341262.

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Shiao, Fu-Sheng, Desmond P. Taylor, and Philippa A. Martin. "Combined Channel Estimation and Turbo Equalization on Wireless Channels." In 2008 IEEE 68th Vehicular Technology Conference (VTC 2008-Fall). IEEE, 2008. http://dx.doi.org/10.1109/vetecf.2008.179.

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Guha, Devi Rani, and Sarat Kumar Patra. "Channel equalization for ISI channels using Wilcoxon generalized RBF." In 2009 International Conference on Industrial and Information Systems (ICIIS). IEEE, 2009. http://dx.doi.org/10.1109/iciinfs.2009.5429878.

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Dong, Liang. "Turbo Equalization with Channel Prediction and Iterative Channel Estimation." In 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009. http://dx.doi.org/10.1109/wcnc.2009.4918006.

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Reports on the topic "Channel equalization"

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Barnett, S. J. Multiple-Channel Equalization of a Nearfield Sonar System. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada276711.

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