Academic literature on the topic 'Detection of symbol length'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Detection of symbol length.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Detection of symbol length"
Wu, Yan Jun, Gang Fu, and Gang Cheng. "Pulse Coding Soft FM Telemetry Signal Demodulation." Advanced Materials Research 989-994 (July 2014): 3952–55. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3952.
Full textFu, Gang, Yue Feng, and Wen Jian Geng. "Study of Symbol Detection Performance of Two Kinds of Compensation Method." Applied Mechanics and Materials 602-605 (August 2014): 2294–97. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2294.
Full textGanapathy, Nagarajan, Diana Baumgärtel, and Thomas Deserno. "Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning." Sensors 21, no. 10 (May 19, 2021): 3542. http://dx.doi.org/10.3390/s21103542.
Full textZhang, Gaoyuan, Haiqiong Li, Congzheng Han, Congyu Shi, Hong Wen, and Dan Wang. "Multiple-Symbol Detection Scheme for IEEE 802.15.4c MPSK Receivers over Slow Rayleigh Fading Channels." Security and Communication Networks 2021 (May 20, 2021): 1–19. http://dx.doi.org/10.1155/2021/6641192.
Full textShi, Congyu, Gaoyuan Zhang, Haiqiong Li, Congzheng Han, Jie Tang, Hong Wen, Longye Wang, and Dan Wang. "Reduced-Complexity Multiple-Symbol Detection of O-QPSK Signals in Smart Metering Utility Networks." Electronics 9, no. 12 (December 2, 2020): 2049. http://dx.doi.org/10.3390/electronics9122049.
Full textZhu, Dong Xu, Gang Fu, and Qian He. "A Kind of MSD Performance Compensation Method Based on the Strategy of Sliding." Advanced Materials Research 989-994 (July 2014): 2360–63. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2360.
Full textFu, Gang, Dong Xu Zhu, Ren Long Li, and Li Ping Wang. "Research on Soft Demodulation of Anamorphic PCM/FM Signal under the Condition of Low SNR." Applied Mechanics and Materials 532 (February 2014): 147–51. http://dx.doi.org/10.4028/www.scientific.net/amm.532.147.
Full textYU, Yang, Shiro HANDA, Fumihito SASAMORI, and Osamu TAKYU. "Adaptive Iterative Decoding of Finite-Length Differentially Encoded LDPC Coded Systems with Multiple-Symbol Differential Detection." IEICE Transactions on Communications E96.B, no. 3 (2013): 847–58. http://dx.doi.org/10.1587/transcom.e96.b.847.
Full textZhang, Gaoyuan, Congzheng Han, Baofeng Ji, Congyu Shi, Ping Xie, and Ling Yang. "A New Multiple-Symbol Differential Detection Strategy for Error-Floor Elimination of IEEE 802.15.4 BPSK Receivers Impaired by Carrier Frequency Offset." Wireless Communications and Mobile Computing 2019 (November 26, 2019): 1–26. http://dx.doi.org/10.1155/2019/5409612.
Full textSong, Lijun, Xia Lei, Maozhu Jin, and Zhihan Lv. "Joint Channel Estimation and Signal Detection for the OFDM System Without Cyclic Prefix Over Doubly-Selective Channels." International Journal of Bifurcation and Chaos 25, no. 14 (December 30, 2015): 1540028. http://dx.doi.org/10.1142/s0218127415400283.
Full textDissertations / Theses on the topic "Detection of symbol length"
Kubánková, Anna. "Automatická klasifikace digitálních modulací." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-233424.
Full textPark, Sang Woo. "Efficient blind symbol rate estimation and data symbol detection algorithms for linearly modulated signals." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2729.
Full textCheng, ChienChun. "MIMO signal design, channel estimation, and symbol detection." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC003/document.
Full textThe aim of this thesis is to investigate multiple input multiple output (MIMO) techniques from the reception algorithms, i.e., channel estimation, symbol detection, and interference suppression, to the advanced spatial modulation (SM) transmission schemes, i.e., the signal constellation design for high performance and energy efficiency. In the reception algorithms, the proposed schemes are derived based on the detection theory, i.e., maximum likelihood (ML), linear minimum mean square error (MMSE), successive interference cancellation (SIC), combining with the statistical analysis, i.e., Bayesian linear regression and Bayesian model comparison, in order to deal with the channel uncertainty, i.e., fading, correlations, thermal noise, multiple interference, and the impact of estimation errors.In the transmission schemes, the signal constellations are targeted to find a good trade off between the average transmit energy and the minimum Euclidean distance in the signal space. The proposed schemes, denoted by enhanced SM (ESM), introduce novel modulation/antenna combinations and use them as the information bits for transmission. The number of those combinations is the double or the quadruple of the number of active antenna indices (or index combinations) in conventional SM systems, and this increases the number of bits transmitted per channel use by one or two.The results of simulations show that good system performance can be achieved with the advanced MIMO techniques. Several examples are presented in this thesis to provide insights for the MIMO system designs
Zhou, Zhou. "MIMO-OFDM Symbol Detection via Echo State Networks." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/95945.
Full textArtificial neural networks (ANN) are widely used in recognition tasks such as recommendation systems, robotics path planning, self-driving, video tracking, image classifications, etc. To further explore the applications of ANN, this thesis considers using a specific ANN, echo state network (ESN) for a wireless communications task: MIMO-OFDM symbol detection. Furthermore, it proposed an enhanced version of the standard ESN, namely, windowed echo state network (WESN). Theoretical analyses on the short term memory (STM) of ESN and WESN show that the later one has a longer STM. Besides, the training set size of this ESN/WESN based method is chosen the same as the pilot symbols used in conventional communications systems. The algorithm complexity analysis demonstrates the ESN/WESN based method performs with lower complexity compared with conventional methods, such as linear mean square error (LMMSE) and sphere decoding. Comprehensive simulations examine how the symbol detection performance can be improved by using ESN and its variant WESN when the transmission link is non-ideal.
Perrins, Erik. "MULTI-SYMBOL NONCOHERENT DETECTION OF MULTI-H CPM." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605816.
Full textTwo receivers are presented for the general case of noncoherent detection of multi-h continuous phase modulation (CPM). Both receivers yield performance gains using multi-symbol observations. The first is an existing receiver [1, 2] which has previously been applied to PCM/FM [3] and is now applied to the ARTM Tier II telemetry waveform. The second receiver is presented for the first time in this paper. The existing noncoherent receiver is found to perform poorly (and with high complexity) for the ARTM Tier II case. For single-symbol observations, the new receiver outperforms conventional FMdemodulation for both telemetry waveforms, and for multi-symbol observation lengths its performance approaches that of the optimal coherent receiver. The performance is evaluated using computer simulations. Receiver performance is also evaluated using a simple channel model with varying carrier phase. The traditional FM demodulator approach is found to outperform both receivers as channel conditions worsen.
Geoghegan, Mark. "EXPERIMENTAL RESULTS FOR MULTI-SYMBOL DETECTION OF PCM/FM." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607605.
Full textIt has been previously shown, through computer simulations, that a multiple symbol detector can provide substantial gains in detection efficiency (nearly 3 dB) over traditional PCM/FM detectors. This is accomplished by performing correlations over multiple symbol intervals to take advantage of the memory inherent in the continuous phase PCM/FM signal. This paper presents measured hardware results, from a prototype developed for the Advanced Range Telemetry (ARTM) Project, that substantiate the previously published performance and sensitivity predictions. Furthermore, this work confirms the feasibility of applying this technology to high-speed commercial and military telemetry applications.
Waseem, Athar, and A. H. M. Sadath Hossain. "MIMO Channel Equalization and Symbol Detection using Multilayer Neural Network." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2345.
Full textDye, Derek J. "Bandwidth and detection of packet length covert channels." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5724.
Full textThis thesis explores the detectability and robustness of packet length covert channels. We discovered that packet length covert channels, where a rogue user modulates the length of a Transport Control Protocol packet, can be detected while monitoring traffic of a large network. The bandwidth of these channels can be successfully estimated as well as the channels themselves detected using statistical inference. In addition, we observed that there is an inverse relationship between the volitionality in networks with respect to packet lengths and the detectability of these channels, and between packet length and channel bandwidth. For a large network like a college department, the bandwidth of a covert channel could be in the tens of megabytes over the course of a day.
Wang, Yi. "Joint OFDM symbol detection and channel estimation over doubly selective channels." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121486.
Full textLe multiplexage par répartition en fréquence orthogonale (OFDM, pour Orthogonal Frequency Division Multiplexing) est une technique prometteuse pour la transmission de données à haut débit. Il est largement utilisé dans les systèmes de communication sans fil actuels en raison de ses bonnes performances sur les canaux sélectifs en fréquence. Toutefois, les systèmes reposant sur l'OFDM sont sensibles aux variations de temps de voie, qui entraînent un brouillage inter-porteuses (ICI, pour Inter-Carrier Interference). En l'absence de méthodes de détection appropriée, ce brouillage peut réduire les performances. Les informations d'état de canal (CSI, pour Channel State Information) constituent un élément essentiel des divers systèmes de détection de données basés sur l'OFDM et leur acquisition est un facteur crucial, surtout sur les canaux variables en temps. La présente examine une technique permettant d'intégrer l'évaluation de canaux reposant sur un filtre de Kalman à une variante du décodage par sphères (SD, pour Sphere Decoding) adaptée à la détection OFDM. En modélisant le système d'OFDM dans le domaine fréquentiel comme un système « entrées multiples, sorties multiples » (MIMO, pour Multiple Input Multiple Output), nous obtenons une puissante technique de SD pour la détection des données. En tenant pour acquis que la matrice de canal est une matrice bande, il est possible de maintenir une complexité recelant le potentiel pour une implantation réelle du SD et d'obtenir des performances concurrentielles comparativement à d'autres systèmes existants. En ce qui a trait à l'acquisition des CSI, on utilise la méthode de l'« expansion de base » (BE, pour Basis Expansion) pour modéliser les canaux variables en temps et on crée un filtre de Kalman pour le suivi des variations de temps des canaux. Le filtre de Kalman utilise les retours de décisions tirés du SD. Il ne nécessite ainsi qu'une faible densité de symboles pilotes, ce qui accroît l'optimisation de la bande passante. Les performances de ce système sont évaluées à l'aide de simulations informatiques reposant sur la méthode de Monte-Carlo. Les résultats montrent que par rapport à l'algorithme mis en concurrence, ce système permet des gains de performance. Quand il est utilisé sur des canaux LTE (Long Term Evolution) modérément variables en temps, ce système atteint une bonne performance, même en présence de brouillage de la phase des porteuses.
Pentukar, Sai Kiran. "OCLEP+: One-Class Intrusion Detection Using Length of Patterns." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1496147438710588.
Full textBooks on the topic "Detection of symbol length"
Dao, Joseph. A VLSI architecture for symbol-by-symbol detection. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.
Find full textKhan, Zad. Lyndon length functions, R[real number symbol]-trees and hyperbolic length functions. Birmingham: University of Birmingham, 1992.
Find full textDivsalar, Dariush. Multiple symbol differential detection of uncoded and trellis coded MPSK. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.
Find full textCary, Paul L. The marijuana detection window: Determining the length of time cannabinoids will remain detectable in urine following smoking : a critical review of relevant research and cannabinoid detection guidance for drug courts. Alexandria, VA: National Drug Court Institute, 2006.
Find full textErfanian, Javan A. *. Low-complexity parallel structures for symbol-by-symbol detection. 1989.
Find full textProbability of Symbol Error for Coherent and Non-Coherent Detection of M-ary Frequency-Shift Keyed (MFSK) Signals Affected by Co-Channel Interference and Additive White Gaussian Noise (AWGN) in a. Storming Media, 2000.
Find full textMenary, Richard. Keeping Track with Things. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198769811.003.0016.
Full textDoyle, Arthur Conan. Sherlock Holmes. Selected Stories. Edited by Barry McCrea. Oxford University Press, 2014. http://dx.doi.org/10.1093/owc/9780199672066.001.0001.
Full textde Graaf, Michiel A., Arthur JHA Scholte, Lucia Kroft, and Jeroen J. Bax. Computed tomography angiography and other applications of computed tomography. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0022.
Full textde Graaf, Michiel A., Arthur JHA Scholte, Lucia Kroft, and Jeroen J. Bax. Computed tomography angiography and other applications of computed tomography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0022_update_001.
Full textBook chapters on the topic "Detection of symbol length"
Nissel, Ronald. "Symbol Detection in High Speed Channels." In The Vienna LTE-Advanced Simulators, 39–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0617-3_3.
Full textJin, Shi, Zhaobo Zhang, Krishnendu Chakrabarty, and Xinli Gu. "Hierarchical Symbol-Based Health-Status Analysis." In Anomaly-Detection and Health-Analysis Techniques for Core Router Systems, 85–113. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33664-6_4.
Full textAhmed, Sohail, R. G. Maunder, Lie-Liang Yang, and Lajos Hanzo. "Iterative Detection of Three-Stage Concatenated IrVLC FFH-MFSK." In Near-Capacity Variable-Length Coding, 401–19. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470666425.ch11.
Full textWespi, Andreas, Marc Dacier, and Hervé Debar. "Intrusion Detection Using Variable-Length Audit Trail Patterns." In Lecture Notes in Computer Science, 110–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39945-3_8.
Full textAh-Soon, Christian. "A constraint network for symbol detection in architectural drawings." In Graphics Recognition Algorithms and Systems, 80–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64381-8_41.
Full textSuzuki, Toshinori, and Toshio Mizuno. "Multiple-symbol differential detection scheme for differential amplitude modulation." In Lecture Notes in Computer Science, 196–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57856-0_19.
Full textTerrades, Oriol Ramos, and Ernest Valveny. "Line Detection Using Ridgelets Transform for Graphic Symbol Representation." In Pattern Recognition and Image Analysis, 829–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_96.
Full textWang, Ge, Hong-Yi Yu, and Zhi-Xiang Shen. "An Improved Symbol Detection Algorithm Based on Expectation-Maximum." In Communications in Computer and Information Science, 467–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53932-9_46.
Full textZiran, Zahra, Eleonora Bernasconi, Antonella Ghignoli, Francesco Leotta, and Massimo Mecella. "Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions." In Document Analysis and Recognition – ICDAR 2021 Workshops, 147–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86198-8_12.
Full textHe, Zhongwei, Wei Lu, and Wei Sun. "Improved Run Length Based Detection of Digital Image Splicing." In Digital Forensics and Watermarking, 349–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32205-1_28.
Full textConference papers on the topic "Detection of symbol length"
Niemela, V., M. Hamalainen, and J. Iinatti. "On IEEE 802.15.6 UWB symbol length for energy detector receivers' performance with OOK and PPM." In 2013 7th International Symposium on Medical Information and Communication Technology (ISMICT 2013). IEEE, 2013. http://dx.doi.org/10.1109/ismict.2013.6521694.
Full textLita, Catalin-Valeriu. "On Complexity of the Detection Problem for Bounded Length Polymorphic Viruses." In 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2016. http://dx.doi.org/10.1109/synasc.2016.064.
Full textTajer, Ali, Aria Nosratinia, and Naofal Al-Dhahir. "MMSE Infinite Length Symbol-by-Symbol Linear Equalization Achieves Full Diversity." In 2007 IEEE International Symposium on Information Theory. IEEE, 2007. http://dx.doi.org/10.1109/isit.2007.4557467.
Full textLado, Gustavo, and Enrique Carlos Segura. "Effective Vector Representations for Variable Length Symbol Sequences." In Seventh International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2017. http://dx.doi.org/10.5121/csit.2017.70604.
Full textSudalaiyandi, Shanthi, Tuan-Anh Vu, Hakon A. Hjortland, Oivind Nass, and Tor Sverre Lande. "Continuous-time single-symbol IR-UWB symbol detection." In 2012 IEEE 25th International SOC Conference (SOCC). IEEE, 2012. http://dx.doi.org/10.1109/socc.2012.6398347.
Full textBrunt, S. "Symbol synchronisation slip detection." In IEE Colloquium on New Synchronisation Techniques for Radio Systems. IEE, 1995. http://dx.doi.org/10.1049/ic:19951400.
Full textChun-Feng Wu, Tzu-Fan Hsu, and Wen-Whei Chang. "Iterative symbol decoding of convolutionally-encoded variable-length codes." In 2011 8th International Conference on Information, Communications & Signal Processing (ICICS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icics.2011.6174312.
Full textAli, Ali Ramadan, Ali Alsaih, Tariq Jamil Khanzada, Jan Machac, and Abbas Omar. "Adaptive symbol length for OFDM systems in doubly selective channels." In 2009 Asia Pacific Microwave Conference - (APMC 2009). IEEE, 2009. http://dx.doi.org/10.1109/apmc.2009.5384417.
Full textHung-Tsai Wu, Chih-Hsien Lin, and Wen-Whei Chang. "Symbol-based joint decoding of convolutionally encoded variable-length codes." In 2012 12th International Conference on ITS Telecommunications (ITST). IEEE, 2012. http://dx.doi.org/10.1109/itst.2012.6425154.
Full textEpishkina, Anna, and Konstantin Kogos. "Protection from binary and multi-symbol packet length covert channels." In SIN '15: The 8th International Conference on Security of Information and Networks. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2799979.2799994.
Full textReports on the topic "Detection of symbol length"
Chavez, Jorge L., Nancy Kelley-Loughnane, Morley O. Stone, and Robert I. MacCuspie. Colorimetric Detection with Aptamer-Gold Nanoparticle Conjugates: Effect of Aptamer Length on Response. Fort Belvoir, VA: Defense Technical Information Center, November 2012. http://dx.doi.org/10.21236/ada576582.
Full textStromswold, D. C., A. J. Peurrung, and R. J. Arthur. Feasibility study for transuranic nuclide measurement on long-length contaminated equipment using neutron detection. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/123213.
Full textQuinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41325.
Full text