Academic literature on the topic 'Affine Frequency Division Multiplexing'

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Journal articles on the topic "Affine Frequency Division Multiplexing"

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JIANG, Hui, and Dao-ben LI. "Overlapped frequency-time division multiplexing." Journal of China Universities of Posts and Telecommunications 16, no. 2 (April 2009): 8–13. http://dx.doi.org/10.1016/s1005-8885(08)60193-4.

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Corcoran, Bill, Chen Zhu, Binhuang Song, and Arthur J. Lowery. "Folded orthogonal frequency division multiplexing." Optics Express 24, no. 26 (December 14, 2016): 29670. http://dx.doi.org/10.1364/oe.24.029670.

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Zheng, Zi Wei. "Iterative Channel Estimation for the Chinese Digital Television Terrestrial Broadcasting Systems with the Multiple-Antenna Receivers." Advanced Engineering Forum 6-7 (September 2012): 439–44. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.439.

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Orthogonal frequency division multiplexing is an effective against multipath fading and high data throughput wireless channel transmission technology. Assistance with the inverse fast Fourier transform and fast Fourier transform operation, orthogonal frequency division multiplexing modulation and demodulation operations of the system convenient and convenient hardware implementation, orthogonal frequency division multiplexing, so in the modern digital television terrestrial broadcasting the system is widely used to support high performance bandwidth-efficient multimedia services. Broadband multi-carrier orthogonal frequency division multiplexing with multi-antenna and multi-antenna receiving system, to increase the diversity gain and improve the capacity of the system in different multipath fading channel. Accurate channel estimation in a simple channel equalization and decoding of broadband multi-carrier orthogonal frequency division multiple-antenna receiver and channel estimation accuracy and multiplexing system is very important, is the key to the performance of the overall broadband multi-carrier orthogonal frequency division multiplexing system in the multi-antenna receiver bit error rate. In this paper, iterative channel estimation to plan for digital terrestrial television broadcasting broadband multi-carrier orthogonal frequency division multiple antenna receiver multiplexing system proposal.
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Chen, Xiang, Hao Liu, Mai Hu, Lu Yao, Zhenyu Xu, Hao Deng, and Ruifeng Kan. "Frequency-Domain Detection for Frequency-Division Multiplexing QEPAS." Sensors 22, no. 11 (May 26, 2022): 4030. http://dx.doi.org/10.3390/s22114030.

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To achieve multi-gas measurements of quartz-enhanced photoacoustic spectroscopy (QEPAS) sensors under a frequency-division multiplexing mode with a narrow modulation frequency interval, we report a frequency-domain detection method. A CH4 absorption line at 1653.72 nm and a CO2 absorption line at 2004.02 nm were investigated in this experiment. A modulation frequency interval of as narrow as 0.6 Hz for CH4 and CO2 detection was achieved. Frequency-domain 2f signals were obtained with a resolution of 0.125 Hz using a real-time frequency analyzer. With the multiple linear regressions of the frequency-domain 2f signals of various gas mixtures, small deviations within 2.5% and good linear relationships for gas detection were observed under the frequency-division multiplexing mode. Detection limits of 0.6 ppm for CH4 and 2.9 ppm for CO2 were simultaneously obtained. With the 0.6-Hz interval, the amplitudes of QEPAS signals will increase substantially since the modulation frequencies are closer to the resonant frequency of a QTF. Furthermore, the frequency-domain detection method with a narrow interval can realize precise gas measurements of more species with more lasers operating under the frequency-division multiplexing mode. Additionally, this method, with a narrow interval of modulation frequencies, can also realize frequency-division multiplexing detection for QEPAS sensors under low pressure despite the ultra-narrow bandwidth of the QTF.
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Junejo, Naveed Ur Rehman, Mariyam Sattar, Saifullah Adnan, Haixin Sun, Abuzar B. M. Adam, Ahmad Hassan, and Hamada Esmaiel. "A Survey on Physical Layer Techniques and Challenges in Underwater Communication Systems." Journal of Marine Science and Engineering 11, no. 4 (April 21, 2023): 885. http://dx.doi.org/10.3390/jmse11040885.

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In the past decades, researchers/scientists have paid attention to the physical layer of underwater communications (UWCs) due to a variety of scientific, military, and civil tasks completed beneath water. This includes numerous activities critical for communication, such as survey and monitoring of oceans, rescue, and response to disasters under the sea. Till the end of the last decade, many review articles addressing the history and survey of UWC have been published which were mostly focused on underwater sensor networks (UWSN), routing protocols, and underwater optical communication (UWOC). This paper provides an overview of underwater acoustic (UWA) physical layer techniques including cyclic prefix orthogonal frequency division multiplexing (CP-OFDM), zero padding orthogonal frequency division multiplexing (ZP-OFDM), time-domain synchronization orthogonal frequency division multiplexing (TDS-OFDM), multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM), generalized frequency division multiplexing (GFDM), unfiltered orthogonal frequency division multiplexing (UF-OFDM), continuous phase modulation orthogonal frequency division multiplexing (CPM-OFDM), filter bank multicarrier (FBMC) modulation, MIMO, spatial modulation technologies (SMTs), and orthogonal frequency division multiplexing index modulation (OFDM-IM). Additionally, this paper provides a comprehensive review of UWA channel modeling problems and challenges, such as transmission loss, propagation delay, signal-to-noise ratio (SNR) and distance, multipath effect, ambient noise effect, delay spread, Doppler effect modeling, Doppler shift estimation. Further, modern technologies of the physical layer of UWC have been discussed. This study also discusses the different modulation technology in terms of spectral efficiency, computational complexity, date rate, bit error rate (BER), and energy efficiency along with their merits and demerits.
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Shrivastava, Sandeep, Alok Jain, and Ram Kumar Soni. "Survey of Orthogonal Frequency Division Multiplexing." International Journal of Engineering Trends and Technology 50, no. 1 (August 25, 2017): 12–16. http://dx.doi.org/10.14445/22315381/ijett-v50p203.

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Yousefi, Mansoor, and Xianhe Yangzhang. "Linear and Nonlinear Frequency-Division Multiplexing." IEEE Transactions on Information Theory 66, no. 1 (January 2020): 478–95. http://dx.doi.org/10.1109/tit.2019.2941479.

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Shieh, W., and C. Athaudage. "Coherent optical orthogonal frequency division multiplexing." Electronics Letters 42, no. 10 (2006): 587. http://dx.doi.org/10.1049/el:20060561.

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Gokceli, Selahattin, and Gunes Karabulut Kurt. "Superposition Coded-Orthogonal Frequency Division Multiplexing." IEEE Access 6 (2018): 14842–56. http://dx.doi.org/10.1109/access.2018.2814050.

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Bledowski, Ian A., Thomas O. H. Charrett, Daniel Francis, Stephen W. James, and Ralph P. Tatam. "Frequency-division multiplexing for multicomponent shearography." Applied Optics 52, no. 3 (January 11, 2013): 350. http://dx.doi.org/10.1364/ao.52.000350.

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Dissertations / Theses on the topic "Affine Frequency Division Multiplexing"

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Bemani, Ali. "Affine Frequency Division Multiplexing (AFDM) for Wireless Communications." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS610.pdf.

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La recherche de nouvelles formes d'onde robustes, lorsque utilisées sur des canaux doublement sélectifs, est primordiale. De telles formes d'onde permettraient donc d'assurer des communications fiables pour les réseaux sans fil de nouvelle génération dans les scénarios de haute mobilité. Dans cette thèse, une nouvelle solution, le affine frequency division multiplexing (AFDM), est proposée. Cette nouvelle forme d'onde de type multichirps est basée sur la transformée de Fourier affine discrète (DAFT), une variante de la transformée de Fourier discrète caractérisée par deux paramètres pouvant être adaptés pour mieux faire face aux canaux doublement dispersifs. Cette thèse offre une enquête complète sur les principes de l'AFDM au sein des communications à haute mobilité. Elle fournit un aperçu de la relation explicite entrée-sortie dans le domaine DAFT, révélant l'impact conséquent des paramètres de l'AFDM. Le manuscrit détaille le réglage précis des paramètres DAFT qui permette d'assurer une représentation complète délai-Doppler du canal de propagation sans fil. À travers des démonstrations analytiques, il est affirmé que l'AFDM atteint de manière optimale l'ordre de diversité des canaux doublement dispersifs en raison de la représentation complète délai-Doppler du canal qu'il permet d'obtenir. La thèse propose également deux algorithmes de détection à faible complexité pour l'AFDM, tirant parti de la parcimonie inhérente du canal. Le premier est un détecteur de type minimum mean squared error (MMSE) à faible complexité basé sur la factorisation LDL. Le deuxième est un égaliseur de type decision feedback equalizer (DFE) à faible complexité basé sur la combinaison cohérente, grace à la méthode maximum ratio combining (MRC), de différentes copies des symboles d'entrée du canal ayant été altérés par différents trajets de ce dernier. De plus, la thèse présente une technique de type embedded d'estimation de canal pour les systèmes AFDM, exploitant la capacité de l'AFDM à obtenir une représentation complète délai-Doppler du canal. Dans cette approche, un seul symbole pilote est inséré dans le domain DAFT du symbole AFDM, et les interférences que ce pilote pourrait générer pour les symboles de donnée sont évitées par des intervalles de garde. Un algorithme pratique d'estimation de canal, compatible avec ce schéma de transmission de pilote et basé sur une approche de type approximate maximum likelihood (ML), est aussi proposé. La thèse est conclue en se penchant sur de possibles applications de l'AFDM au delà de celles conçues pour les environnements marqués par une haute mobilité, spécifiquement les applications de type integrated sensing and communication (ISAC) et les communications dans les bandes de hautes fréquences. Il est démontré que pour identifier tous les composants de délai et de Doppler liés au milieu de propagation, on peut utiliser soit le signal AFDM complet, soit seulement sa partie pilote constituée d'un symbole de domaine DAFT et de son intervalle de garde. De plus, la nature chirp de l'AFDM permet une annulation simple de l'auto-interférence, éliminant ainsi le besoin de méthodes coûteuses normalement nécessaires dans les systèmes full duplex. La thèse met également en évidence les bonnes performances de l'AFDM pour les communications sans fil dans les bandes de hautes fréquences sans ou avec mobilité, grâce à la répartition maximale du signal AFDM en temps et en fréquences, assurant un gain de couverture. Contrairement à d'autres formes d'onde, l'AFDM ne fournit pas seulement une répartition maximale temps-fréquences mais assure également une détection robuste et efficace et une résilience au décalage de fréquence de porteuse et au bruit de phase
In the realm of next-generation wireless systems (beyond 5G/6G), the vision is clear: to support a broad range of services and applications. This includes ensuring reliable communications in environments marked by high mobility, such as high-speed railway systems and various vehicular communications. Despite the deployment of various multicarrier techniques like orthogonal frequency division multiplexing (OFDM) and single-carrier frequency division multiple access (SC-FDMA) in standardized communication systems, the challenge persists. These techniques, while effective in time-invariant frequency selective channels, face performance degradation in high mobility scenarios due to the destruction of orthogonality among subcarriers caused by significant Doppler frequency shifts. Addressing this, the search for new, robust modulation techniques is paramount. It stands as a key area of investigation aiming to resolve the reliable communications issue for next-generation wireless networks within doubly-selective wireless channels. In this thesis, a novel solution, affine frequency division multiplexing (AFDM), is proposed. This new chirp-based multicarrier waveform is based on the discrete affine Fourier transform (DAFT), a variant of the discrete Fourier transform characterized with two parameters that can be adapted to better cope with doubly dispersive channels. This thesis provides a comprehensive investigation into the principles of AFDM within high mobility communications. It provides insight into the explicit input-output relation in the DAFT domain, unveiling the consequential impact of AFDM parameters. The manuscript details the precise setting of DAFT parameters, ensuring a full delay-Doppler representation of the channel. Through analytical demonstrations, it asserts that AFDM optimally achieves the diversity order in doubly dispersive channels due to its full delay-Doppler representation. The thesis also proposes two low-complexity detection algorithms for AFDM, taking advantage of its inherent channel sparsity. The first is a low complexity MMSE detector based on LDL factorization. The second is a low complexity iterative decision feedback equalizer (DFE) based on weighted maximal ratio combining (MRC) of the channel impaired input symbols received from different paths. Additionally, the thesis presents an embedded channel estimation strategy for AFDM systems, leveraging AFDM's ability to achieve full delay-Doppler representation of the channel. In this approach, an AFDM frame contains a pilot symbol and data symbols, with zero-padded symbols employed as guard intervals to prevent interference. A practical channel estimation algorithm based on an approximate maximum likelihood (ML) approach and compatible with this pilot scheme is also provided. The thesis concludes by delving into the expanded applications of AFDM, specifically in integrated sensing and communication (ISAC) and extremely high frequency (EHF) band communications. It is demonstrated that to identify all delay and Doppler components linked with the propagation medium, one can use either the full AFDM signal or only its pilot part consisting of one DAFT domain symbol and its guard interval. Furthermore, the chirp nature of AFDM allows for unique and simple self-interference cancellation with a single pilot, eliminating the need for costly full-duplex methods. The thesis also highlights AFDM's efficient performance in high-frequency bands (with or without mobility), where the maximal spreading of its signal in time and frequency ensures a coverage gain. Unlike other waveforms, AFDM not only provides maximal time-frequency spreading but also ensures robust and efficient detection, characterized by one-tap equalization and resilience to carrier frequency offset (CFO) and phase noise
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Recio, Adolfo Leon. "Spectrum-Aware Orthogonal Frequency Division Multiplexing." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/30193.

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Reconfigurable computing architectures are well suited for the dynamic data flow processing requirements of software-defined radio. The software radio concept has quickly evolved to include spectrum sensing, awareness, and cognitive algorithms for machine learning resulting in the cognitive radio model. This work explores the application of reconfigurable hardware to the physical layer of cognitive radios using non-contiguous multi-carrier radio techniques. The practical tasks of spectrum sensing, frame detection, synchronization, channel estimation, and mutual interference mitigation are challenges in the communications and the computing fields that are addressed to optimally utilize the capacity of opportunistically allocated spectrum bands. FPGA implementations of parameterizable OFDM and filter bank multi-carrier (FBMC) radio prototypes with spectrum awareness and non-contiguous sub-carrier allocation were completed and tested over-the-air. Sub-carrier sparseness assumptions were validated under practical implementation and performance considerations. A novel algorithm for frame detection and synchronization with mutual interference rejection applicable to the FBMC case was proposed and tested.
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Challakere, Nagaravind. "Carrier Frequency Offset Estimation for Orthogonal Frequency Division Multiplexing." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1423.

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This thesis presents a novel method to solve the problem of estimating the carrier frequency set in an Orthogonal Frequency Division Multiplexing (OFDM) system. The approach is based on the minimization of the probability of symbol error. Hence, this approach is called the Minimum Symbol Error Rate (MSER) approach. An existing approach based on Maximum Likelihood (ML) is chosen to benchmark the performance of the MSER-based algorithm. The MSER approach is computationally intensive. The thesis evaluates the approximations that can be made to the MSER-based objective function to make the computation tractable. A modified gradient function based on the MSER objective is developed which provides better performance characteristics than the ML-based estimator. The estimates produced by the MSER approach exhibit lower Mean Squared Error compared to the ML benchmark. The performance of MSER-based estimator is simulated with Quaternary Phase Shift Keying (QPSK) symbols, but the algorithm presented is applicable to all complex symbol constellations.
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Zhang, Hua. "Orthogonal Frequency Division Multiplexing for Wireless Communications." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4960.

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OFDM is a promising technique for high-data-rate wireless communications because it can combat inter-symbol interference (ISI) caused by the dispersive fading of wireless channels. The proposed research focuses on techniques that improve the performance of OFDM-based wireless communications and its commercial and military applications. In particular, we address the following aspects of OFDM: inter-channel interference (ICI) suppression, interference suppression for clustered OFDM, clustered OFDM based anti-jamming modulation, channel estimation for MIMO-OFDM, MIMO transmission with limited feedback. For inter-channel interference suppression, a frequency domain partial response coding (PRC) scheme is proposed to mitigate ICI. We derive the near-optimal weights for PRC that is independent on the channel power spectrum. The error floor resulting from ICI can be reduced significantly using a two-tap or a three-tap PRC. Clustered OFDM is a new technique that has many advantages over traditional OFDM. In clustered OFDM systems, adaptive antenna arrays are used for interference suppression. To calculate weights for interference suppression, we propose a polynomial-based parameter estimator to combat the severe leakage of the DFT based estimator due to the small size of the cluster. An adaptive algorithm is developed to obtain optimal performance. For high data rate military communications, we propose a clustered OFDM base spread spectrum modulation to provide both anti-jamming and fading suppression capability. We analyze the performance of uncoded and coded system. Employing multiple transmit and receive antennas in OFDM systems (MIMO-OFDM) can increase the spectral efficiency and link reliability. We develop a minimum mean-square-error (MMSE) channel estimator that takes advantage of the spatial-frequency correlations in MIMO-OFDM systems to minimize the estimation error. We investigate the training sequence design and two optimal training sequence designs are given for arbitrary spatial correlations. For a MIMO system, the diversity and array gains can be obtained by exploiting channel information at the transmitter. For MIMO-OFDM systems, we propose a subspace tracking based approach that can exploit the frequency correlations of the OFDM system to reduce the feedback rate. The proposed approach does not need recalculate the precoding matrix and is robust to multiple data stream transmission.
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Kim, Dukhyun. "Orthogonal frequency division multiplexing for digital broadcasting." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13704.

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Bledowski, Ian A. "Frequency-division-multiplexing technique for imaging metrology." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9286.

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An algorithm to multiplex multiple image captures simultaneously onto a single image sensor at full frame resolution was developed for imaging metrology. Parseval’s theorem was used to obtain the image intensity from image time-series of around typically 256 frames captured by the imaging sensor at typically 60 fps, though kHz frame rates are possible, hardware permitting. The time-series contained contributions from each image channel in the system, which were created by periodically modulating the intensity of the light source which defined that channel. The modulating time-series was converted to a frequency representation by Fourier transform and from that the channels could be identified by their peaks in the spectrum. Peaks corresponding to each channel were then isolated with a window function and Parseval’s theorem applied on a pixel by pixel basis to convert the signal strength back to an image containing the information from that channel only. The FDM algorithm was then applied to two imaging metrology methods. First, an in-plane, two-channel shearography system was multiplexed with FDM in such a way as to allow time-division multiplexed measurements to be taken on the same deformations with the same instrument so as to allow comparison of results from other methods. FDM was found to produce good quality results comparable with current methods. Interferometric planar Doppler velocimetry was performed, multiplexing the reference phase channel signal and a signal channel for both a wheel and a gas jet. FDM was found to suppress the effects of phase drifts in the system which would lead to velocity offsets in the results, and gave velocities which varied from the model by only up to ~5%. Finally, an error analysis was performed on the FDM algorithm, comparing the technique with time-averaging and single image capture through simulation and practical methods. It was shown that FDM strongly suppresses the noise and background in a measurement, and can produce good images from low intensity signals. It could be concluded that the FDM algorithm offers significant advantages over time-averaging a signal when applied to a multi-channel imaging metrology system.
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Clark, Alan. "On Coding for Orthogonal Frequency Division Multiplexing Systems." Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1092.

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The main contribution of this thesis is the statistical analysis of orthogonal frequency di- vision multiplexing (OFDM) systems operating over wireless channels that are both fre- quency selective and Rayleigh fading. We first describe the instantaneous capacity of such systems using a central limit theorem, as well as the asymptotic capacity of a power lim- ited OFDM system as the number of subcarriers approaches infinity. We then analyse the performance of uncoded OFDM systems by first developing bounds on the block error rate. Next we show that the distribution of the number of symbol errors within each block may be tightly approximated, and derive the distribution of an upper bound on the total variation distance. Finally, the central result of this thesis proposes the use of lattices for encodingOFDMsystems. For this, we detail a particular method of using lattices to encode OFDMsystems, and derive the optimalmaximumlikelihood decodingmetric. Generalised Minimum Distance (GMD) decoding is then introduced as a lower complexity method of decoding lattice encoded OFDM. We derive the optimal reliability metric for GMD decod- ing of OFDM systems operating over frequency selective channels, and develop analytical upper bounds on the error rate of lattice encoded OFDM systems employing GMD decod- ing.
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李世榮 and Sai-weng Lei. "Adaptive interleaving for orthogonal frequency division multiplexing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224702.

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Lepley, Jason J. "Frequency stabilisation for dense wavelength division multiplexing systems." Thesis, University of Essex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310059.

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Wang, Samuel Y. "Perfect shuffle optical frequency division multiplexing (PS/OFDM)." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14255.

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Books on the topic "Affine Frequency Division Multiplexing"

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Li, Ye, and Gordon L. Stüber, eds. Orthogonal Frequency Division Multiplexing for Wireless Communications. Boston: Kluwer Academic Publishers, 2006. http://dx.doi.org/10.1007/0-387-30235-2.

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Jiang, Tao, Yan Zhang, and Lingyang Song. Orthogonal frequency division multiple access fundamentals and applications. Boca Raton: Auerbach, 2010.

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Arijon, Ignacio M. Performance of an orthogonal frequency division multiplexing (OFDM) system in frequency selective channels. Manchester: University of Manchester, 1996.

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Jiang, Tao, 1970 Jan. 8-, Song Lingyang, and Zhang Yan 1977-, eds. Orthogonal frequency division multiple access fundamentals and applications. Boca Raton: Auerbach, 2010.

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United States. National Telecommunications and Information Administration, ed. Orthogonal frequency division multiplexing: An application to high definition television. [Washington, D.C.?]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1994.

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Monty, Andro, Vanderaar Mark J, and NASA Glenn Research Center, eds. An OFDM system using polyphase filter and DFT architecture for very high data rate applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Wu, Te-Kao. Double-loop frequency-selected surfaces for multifrequency division multiplexing in a dual-reflector antenna. [Washington, DC: National Aeronautics and Space Administration, 1992.

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1974-, Li Guoqing, ed. OFDM-based broadband wireless networks: Design and optimization. Hoboken, N.J: J. Wiley, 2005.

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Maxon, David P. The IBOC handbook: Understanding HD radio technology. Boston: Elsevier/Focal Press, 2007.

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Yang, Samuel C. OFDMA system analysis and design. Boston: Artech House, 2010.

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Book chapters on the topic "Affine Frequency Division Multiplexing"

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Weik, Martin H. "frequency-division multiplexing." In Computer Science and Communications Dictionary, 647. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7633.

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Liu, Zhu. "Frequency Division Multiplexing." In Handbook of Computer Networks, 553–67. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118256053.ch36.

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Weik, Martin H. "optical frequency-division multiplexing." In Computer Science and Communications Dictionary, 1175. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13061.

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Hara, Shinsuke. "Orthogonal Frequency Division Multiplexing." In Handbook of Computer Networks, 591–605. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118256053.ch39.

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Ishida, Osamu, Hiromu Toba, and Nori Shibata. "Optical frequency division multiplexing systems." In Coherent Lightwave Communications Technology, 129–88. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-1308-3_5.

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Kumar, Arvind, and Rajoo Pandey. "Orthogonal Frequency Division Multiplexing for IoT." In Electronic Devices and Circuit Design, 243–67. Boca Raton: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003145776-15.

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Song, Jian. "Time-Domain Synchronous Orthogonal Frequency Division Multiplexing." In Encyclopedia of Wireless Networks, 1400–1403. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_167.

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Darwazeh, Izzat, Ryan C. Grammenos, and Tongyang Xu. "Spectrally Efficient Frequency Division Multiplexing for 5G." In 5G Mobile Communications, 261–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34208-5_10.

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Song, Jian. "Time-Domain Synchronous Orthogonal Frequency Division Multiplexing." In Encyclopedia of Wireless Networks, 1–4. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_167-1.

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Tsukada, Hiromichi, and Ichiro Tsuda. "Memory Retrieval by Means of Frequency Division Multiplexing." In Advances in Cognitive Neurodynamics (V), 755–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0207-6_102.

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Conference papers on the topic "Affine Frequency Division Multiplexing"

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Bemani, Ali, Giampaolo Cuozzo, Nassar Ksairi, and Marios Kountouris. "Affine Frequency Division Multiplexing for Next-Generation Wireless Networks." In 2021 17th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2021. http://dx.doi.org/10.1109/iswcs49558.2021.9562168.

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Benzine, Wissal, Ali Bemani, Nassar Ksairi, and Dirk Slock. "Affine Frequency Division Multiplexing For Communications on Sparse Time-Varying Channels." In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437010.

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Gui, Tao, Wasyhun A. Gemechu, Jan-Willem Goossens, Mengdi Song, Stefan Wabnitz, Mansoor I. Yousefi, Hartmut Hafermann, Alan Pak Tao Lau, and Yves Jaouën. "Polarization-Division-Multiplexed Nonlinear Frequency Division Multiplexing." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/cleo_si.2018.stu4c.3.

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Kabir, Waziha. "Orthogonal Frequency Division Multiplexing (OFDM)." In 2008 China-Japan Joint Microwave Conference (CJMW 2008). IEEE, 2008. http://dx.doi.org/10.1109/cjmw.2008.4772401.

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Casciati, Sara, Lucia Faravelli, and ZhiCong Chen. "Frequency Division Multiplexing Wireless Connection." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5601390.

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Kabir, W. "Orthogonal frequency division multiplexing (OFDM)." In China-Ireland International Conference on Information and Communications Technologies (CIICT 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080773.

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Challa, Muralidhar Reddy, Bharath Simha Reddy Eedula, Gnana Pavan Bombothu, and Ram Mohan Rao Kanugu. "DFDM — Dynamic frequency division multiplexing." In 2017 7th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2017. http://dx.doi.org/10.1109/csnt.2017.8418506.

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Fettweis, Gerhard, Marco Krondorf, and Steffen Bittner. "GFDM - Generalized Frequency Division Multiplexing." In 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073571.

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Têtu, Michel, and Christine Latrasse. "Absolute frequency control in WDM systems." In Wavelength Division Multiplexing Components. Washington, D.C.: OSA, 1999. http://dx.doi.org/10.1364/wdm.1999.254.

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Lepley, Jason J., and A. Shamim Siddiqui. "A frequency-stabilised highly dense WDM comb generator." In Wavelength Division Multiplexing Components. Washington, D.C.: OSA, 1999. http://dx.doi.org/10.1364/wdm.1999.182.

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