Relevant bibliographies by topics / Intersymbol Interference

Academic literature on the topic 'Intersymbol Interference'

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Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Intersymbol Interference"

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Crotty, Patrick, and William B. Levy. "Intersymbol interference in axonal transmission." Neurocomputing 69, no. 10-12 (June 2006): 1006–9. http://dx.doi.org/10.1016/j.neucom.2005.12.034.

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Huleihel, Wasim, Salman Salamatian, Neri Merhav, and Muriel Medard. "Gaussian Intersymbol Interference Channels With Mismatch." IEEE Transactions on Information Theory 65, no. 7 (July 2019): 4499–517. http://dx.doi.org/10.1109/tit.2019.2900222.

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Franck, T., P. B. Hansen, T. N. Nielsen, and L. Eskildsen. "Duobinary transmitter with low intersymbol interference." IEEE Photonics Technology Letters 10, no. 4 (April 1998): 597–99. http://dx.doi.org/10.1109/68.662606.

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Huang, Cui Cui, Liang Jun Yu, and Li Hua Sun. "Design of Mobile Communication Non Intersymbol Interference System Based on Calman Filter and PID Control." Applied Mechanics and Materials 716-717 (December 2014): 1257–61. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1257.

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In the digital baseband transmission system, the intersymbol interference is one of the main factors affecting the performance. Therefore, how to overcome its influence, making the system error rate reduction must study and solve the problems in the digital baseband system. This paper designs a new mobile communication non intersymbol interference filtering system based on MATLAB numerical simulation, the system is the integration of the Calman filter theory, and combining the genetic algorithm and PID control algorithm to achieve the rapidity and stability of the system filter. The filter design and validation simulation can be seen that the filter can effectively eliminate the measurement and observation error in the mobile communication process, to avoid the signal fluctuation caused by intersymbol interference. Through the system response curve, it can be seen that the system does not appear overshoot, fast convergence speed, and good response stability will provide the technical reference for the research of mobile communication system.
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Metzger, K. "On the Probability Density of Intersymbol Interference." IEEE Transactions on Communications 35, no. 4 (1987): 396–402. http://dx.doi.org/10.1109/tcom.1987.1096789.

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Huleihel, Wasim, and Neri Merhav. "Universal Decoding for Gaussian Intersymbol Interference Channels." IEEE Transactions on Information Theory 61, no. 4 (April 2015): 1606–18. http://dx.doi.org/10.1109/tit.2015.2405534.

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Bayat, Oguz. "Intersymbol interference cancellation in CDMA 1xEVDO network." International Journal of Communication Systems 27, no. 10 (September 25, 2012): 1553–60. http://dx.doi.org/10.1002/dac.2418.

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Zhao, Hongxia, Erik Agrell, and Magnus Karlsson. "Intersymbol interference in DQPSK fibre-optic systems." European Transactions on Telecommunications 20, no. 8 (December 2009): 758–69. http://dx.doi.org/10.1002/ett.1354.

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Douillard, Catherine, Michel Jézéquel, Claude Berrou, Département Electronique, Annie Picart, Pierre Didier, and Alain Glavieux. "Iterative correction of intersymbol interference: Turbo-equalization." European Transactions on Telecommunications 6, no. 5 (September 1995): 507–11. http://dx.doi.org/10.1002/ett.4460060506.

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SUZUKI, Toshiaki, and Toshiyuki TANAKA. "Study on Canceling Intersymbol Interference of Inverse-GPS." Transactions of the Society of Instrument and Control Engineers 39, no. 7 (2003): 694–96. http://dx.doi.org/10.9746/sicetr1965.39.694.

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Dissertations / Theses on the topic "Intersymbol Interference"

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Neeser, Fredy D. "Communication theory and coding for channels with intersymbol interference /." Zürich, 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10314.

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Long, Eric M. "Decision-aided sequential sequence estimation for intersymbol interference channels." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/15019.

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Lyman, Raphael J., and Qingsong Wang. "A DECOUPLED APPROACH TO COMPENSATION FOR NONLINEARITY AND INTERSYMBOL INTERFERENCE." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605571.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California
To achieve good efficiency in a space-based radio transmitter, its final amplifier must be operated near the saturation point, in its nonlinear region. Because of strict band limitations, this nonlinear operation is combined with the problem of intersymbol interference. Normally, these problems are addressed using a combination of equalization and power back-off, resulting in reduced power efficiency. Many proposed receiver-based methods, such as Volterra equalization, attempt to compensate for the nonlinearity and ISI in a single block before the detector, allowing higher efficiency operation, but introducing a great deal of complexity. We propose a receiver-based method in which the two effects are dealt with in separate blocks, an equalizer and a linearizer, resulting in considerable simplification. We go further and place the detector before the linearizer, achieving improved performance by eliminating the errors introduced by the linearizer. Simulation results compare favorably with the performance of a linear AWGN channel.
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Cheng, Taikun. "Equalization and coding for the two-dimensional intersymbol interference channel." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/t_cheng_113007.pdf.

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Sheen, Wern-Ho. "Performance analysis of sequence estimation techniques for intersymbol interference channels." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/13089.

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Li, Peter C. "Direct detection optical systems : intersymbol interference and electrical filter designs." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11848.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
Includes bibliographical references (leaves 182-184).
Peter Cheng-Lung Li.
Ph.D.
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Paterson, Gavin John. "Adaptive nonlinear equaliser structures for intersymbol and co-channel interference suppression." Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436832.

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Gupta, Sunil 1966. "Intersymbol interference characterization and equalization for high density optical data storage." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278217.

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In optical data storage, intersymbol interference (ISI) is one of the limiting factors for high storage density. To reduce ISI, we need to understand its characteristics and use appropriate signal processing techniques. In this thesis, we characterize ISI for various data patterns and compare Signal to Noise Ratio (SNR) with and without ISI equalization. To characterize ISI, we sample the readback waveforms and use a computer program for data processing. To compare SNR with and without equalization, we record a pseudo random sequence and compare the detected marks with original marks. We also compute SNR using the additive interleaving detection (AID) technique without ISI equalization. From our studies, ISI is found to be more significant as mark widths become smaller. We also found that SNR can be increased by 3-9 db with equalization. More interestingly, we found that AID gives good SNR even without ISI equalization. This indicates the simplicity of using AID for higher storage density.
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Balaji, Bhashyam. "An adaptive, multirate method for eliminating intersymbol interference in non-ideal channel." Thesis, University of Ottawa (Canada), 2000. http://hdl.handle.net/10393/8604.

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In this thesis, an adaptive method for eliminating intersymbol interference (ISI) using multirate techniques, is presented. This is inspired by the work of Chevillat and Ungerboeck on the design of finite impulse response (FIR) 'multirate zero ISI filters' for data transmission over a band limited ideal channel. Their analysis is extended to the case when the channel is non-ideal. It is shown that there are infinitely many multi rate filters (dependent of the upsampling/downsampling factor Mc) that can eliminate ISI. As an illustration, two simple adaptive algorithms for computing the zero ISI filters are presented and applied to discrete multitone transmission (DMT) and discrete wavelet multitone transmission (DWMT) systems. It is found that even the minimum length, multirate zero ISI filters compare favourably (in terms of reduced complexity and performance) with other techniques, such as the cyclic prefix method.
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Abou, Faycal Ibrahim C. (Ibrahim Chafik). "An information theoretic study of reduced-complexity receivers for intersymbol interference channels." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8922.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
Includes bibliographical references (leaves 105-108).
The complexity of the optimal receiver for communications over a discrete-time additive Gaussian intersymbol interference channel typically grows exponentially with the duration of the channel impulse response. Consequently, practical sub-optimal receivers are often designed as though the channel impulse response were shorter than it is. While previous studies on the performance of such receivers have mainly focused on bit error rates in uncoded systems, this thesis takes a different approach to the problem. We adopt an information theoretic approach and study the rates that are achievable in the Shannon sense over the true channel with the given, possibly sub-optimal, decoding rule. One can establish that, under such mismatch conditions, the achievable rates are bounded in the Signal-to-Noise Ratio necessitating the use of a linear equalizer at the front end of the decoder. We derive the achievable rates for these schemes and optimize under complexity constraints the design of the equalizer and the receiver. Overall, two ensemble of codes are considered: the Independent Identically Distributed Gaussian ensemble and the "spherical" ensemble, where codewords are uniformly distributed over a sphere.
by Ibrahim C. Abou Faycal.
Ph.D.
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Books on the topic "Intersymbol Interference"

1

Modulated coding for intersymbol interference channels. New York: M. Dekker, 2001.

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Neeser, Fredy D. Communication theory and coding for channels with intersymbol interference. Konstanz: Hartung-Gorre Verlag, 1994.

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Xia, Xiang. Modulated Coding for Intersymbol Interference Channels. Taylor & Francis Group, 2018.

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Xia, Xiang. Modulated Coding for Intersymbol Interference Channels. Taylor & Francis Group, 2018.

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Xia, Xiang. Modulated Coding for Intersymbol Interference Channels. Taylor & Francis Group, 2018.

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Xia, Xiang. Modulated Coding for Intersymbol Interference Channels. Taylor & Francis Group, 2018.

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Xia, Xiang-Gen. Modulated Coding for Intersymbol Interference Channels (Signal Processing and Communications, 6). CRC, 2000.

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Book chapters on the topic "Intersymbol Interference"

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Lee, Edward A., and David G. Messerschmitt. "Intersymbol Interference." In Digital Communication, 289–370. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1303-5_8.

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Weik, Martin H. "intersymbol interference." In Computer Science and Communications Dictionary, 831. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9521.

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Lee, Edward A., David G. Messerschmitt, and Robert Gallager. "Intersymbol Interference." In Digital Communication, 289–370. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-0044-1_8.

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Speidel, Joachim. "Removal of Intersymbol Interference." In Signals and Communication Technology, 17–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_2.

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Speidel, Joachim. "Intersymbol Interference and Noise." In Signals and Communication Technology, 17–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_2.

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Tretter, Steven A. "Nonlinear Precoding Methods to Remove Intersymbol Interference." In Constellation Shaping, Nonlinear Precoding, and Trellis Coding for Voiceband Telephone Channel Modems, 117–32. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0989-9_5.

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Giles, J., and B. Hajek. "On Synchronization and Intersymbol Interference for Jammed Timing Channels." In The Kluwer International Series in Engineering and Computer Science, 201–15. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0895-3_12.

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Soriaga, Joseph B., Henry D. Pfister, and Paul H. Siegel. "On Approaching the Capacity of Finite-State Intersymbol Interference Channels." In Information, Coding and Mathematics, 365–78. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3585-7_21.

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Markman, Ivonete, and John B. Anderson. "Sequential decoding on intersymbol interference channels under the Pe-criterion." In Information Theory and Applications, 203–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57936-2_40.

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Taubin, Felix A. "Reduced-state decoding for trellis coded modulation on nonlinear intersymbol interference channels." In Lecture Notes in Computer Science, 88–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58265-7_12.

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Conference papers on the topic "Intersymbol Interference"

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"Session: intersymbol interference channels." In 1988 IEEE International Symposium on Information Theory. IEEE, 1988. http://dx.doi.org/10.1109/isit.1988.22255.

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Nouri, Aria, Reza Asvadi, Jun Chen, and Pascal O. Vontobel. "Finite-Input Intersymbol Interference Wiretap Channels." In 2021 IEEE Information Theory Workshop (ITW). IEEE, 2021. http://dx.doi.org/10.1109/itw48936.2021.9611416.

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Fayyaz, Ubaid U., and John R. Barry. "Polar code design for intersymbol interference channels." In GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037160.

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Tulino, Antonia, Sergio Verdu, Giuseppe Caire, and Shlomo Shamai. "Intersymbol interference with flat fading: Channel capacity." In 2008 IEEE International Symposium on Information Theory - ISIT. IEEE, 2008. http://dx.doi.org/10.1109/isit.2008.4595253.

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Huleihel, Wasim, and Neri Merhav. "Universal decoding for Gaussian intersymbol interference channels." In 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282991.

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Frederick, Thomas J., and Nurgun Erdol. "Subband equalizer performance for intersymbol-interference channels." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Harold H. Szu. SPIE, 1994. http://dx.doi.org/10.1117/12.170085.

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Doerr, C. R., S. Chandrasekhar, P. J. Winzer, L. W. Stulz, A. R. Chraplyvy, and R. Pafchek. "Simple multichannel optical equalizer for mitigating intersymbol interference." In OFC 2003 - Optical Fiber Communication Conference and Exhibition. IEEE, 2003. http://dx.doi.org/10.1109/ofc.2003.316035.

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Hu, Sha, and Fredrik Rusek. "Channel shortening algorithms for multiple intersymbol interference channels." In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2016. http://dx.doi.org/10.1109/pimrc.2016.7794757.

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Escribano, Francisco J., Luis Lopez, and M. A. F. Sanjuan. "Effects of intersymbol interference on chaos-based modulations." In 2008 2nd International Conference on Signals, Circuits and Systems (SCS). IEEE, 2008. http://dx.doi.org/10.1109/icscs.2008.4746889.

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Qin, Zhiliang. "Decision-Feedback Turbo Equalization for Coded Intersymbol Interference Channels." In 2006 1ST IEEE Conference on Industrial Electronics and Applications. IEEE, 2006. http://dx.doi.org/10.1109/iciea.2006.257134.

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