Relevant bibliographies by topics / Ambiguity detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Ambiguity detection'

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

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Journal articles on the topic "Ambiguity detection"

1

Schmitz, Sylvain. "An experimental ambiguity detection tool." Science of Computer Programming 75, no. 1-2 (2010): 71–84. http://dx.doi.org/10.1016/j.scico.2009.07.002.

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Schmitz, Sylvain. "An Experimental Ambiguity Detection Tool." Electronic Notes in Theoretical Computer Science 203, no. 2 (2008): 69–84. http://dx.doi.org/10.1016/j.entcs.2008.03.045.

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KAMOWSKI-SHAKIBAI, MARGARET T., and HELEN SMITH CAIRNS. "Kindergarten children can be taught to detect lexical ambiguities." Journal of Child Language 43, no. 2 (2015): 442–56. http://dx.doi.org/10.1017/s030500091500015x.

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ABSTRACTThis study investigates the development of metalinguistic skills, particularly ambiguity detection, and whether training accelerates this development for prereaders in kindergarten (5;5–6;6). It is the first to compare homophone detection with lexically ambiguous sentence detection in which the same homophones appear. The experimental group received ambiguity detection training; the control group received vocabulary training. Results showed that there is a spontaneous development of homophone detection abilities at the end of kindergarten, and training may accelerate this trajectory. T
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Liu, Jiangyi, Fengmin Zhu, and Fei He. "Automated Ambiguity Detection in Layout-Sensitive Grammars." Proceedings of the ACM on Programming Languages 7, OOPSLA2 (2023): 1150–75. http://dx.doi.org/10.1145/3622838.

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Layout-sensitive grammars have been adopted in many modern programming languages. In a serious language design phase, the specified syntax—typically a grammar—must be unambiguous. Although checking ambiguity is undecidable for context-free grammars and (trivially also) layout-sensitive grammars, ambiguity detection , on the other hand, is possible and can benefit language designers from exposing potential design flaws . In this paper, we tackle the ambiguity detection problem in layout-sensitive grammars. Inspired by a previous work on checking the bounded ambiguity of context-free grammars vi
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Liu, Yang, Alan Medlar, and Dorota Głowacka. "Lexical ambiguity detection in professional discourse." Information Processing & Management 59, no. 5 (2022): 103000. http://dx.doi.org/10.1016/j.ipm.2022.103000.

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Meyer, Marie-Christine, and Uli Sauerland. "A pragmatic constraint on ambiguity detection." Natural Language & Linguistic Theory 27, no. 1 (2008): 139–50. http://dx.doi.org/10.1007/s11049-008-9060-2.

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Hayman Oo, Khin, Azlin Nordin, Amelia Ritahani Ismail, and Suriani Sulaiman. "An Analysis of Ambiguity Detection Techniques for Software Requirements Specification (SRS)." International Journal of Engineering & Technology 7, no. 2.29 (2018): 501. http://dx.doi.org/10.14419/ijet.v7i2.29.13808.

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Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most of the SRS documents are written in natural language and natural language is generally ambiguous. There are various types of techniques that have been used to detect ambiguity in SRS documents. Based on an analysis of the existing work, the ambiguity detection techniques can be categorized into three approaches: (1) manual approach, (2) semi-automatic approach using natural language processing, (3) semi-automatic approach using machine learning. Among them, one of the semi-automatic approaches th
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Sun, Xiping, Xipeng Wu, Qinquan Zhou, Lei Zhang, and Jianxin Wu. "Airborne Radar Staggered PRF Coherent Processing Method for Down-Looking Target Detection." Remote Sensing 15, no. 13 (2023): 3271. http://dx.doi.org/10.3390/rs15133271.

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Airborne radar plays a crucial role in detecting aerial targets, but its detection capability can be significantly affected by strong ground clutter when operating in down-looking mode. The range-Doppler (RD) results of ground clutter in airborne radar may overlap the range-Doppler results of the targets, causing target occlusion and rendering them undetectable. In addition to target detection, accurate extraction of target parameters is also of great importance. Due to the high-speed movement of the airborne platform, targets may exhibit range-Doppler ambiguity, necessitating the use of appro
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Shaukat, Sundus, Kashif Ayyub, Wasif Nisar, Mudassar Raza, and Tariq Umer. "Ambiguity Detection Methods in Context Free Grammar." Research Journal of Applied Sciences, Engineering and Technology 7, no. 22 (2014): 4652–55. http://dx.doi.org/10.19026/rjaset.7.847.

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Tesar, Bruce. "Using Inconsistency Detection to Overcome Structural Ambiguity." Linguistic Inquiry 35, no. 2 (2004): 219–53. http://dx.doi.org/10.1162/002438904323019057.

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The Inconsistency Detection Learner (IDL) is an algorithm for language learning that addresses the problem of structural ambiguity.If an overt form is structurally ambiguous, the learner must be capable of inferring which interpretation of the overt form is correct by reference to other overt data of the language.The IDL does this by attempting to construct grammars for combinations of interpretations of the overt forms, and discarding those combinations that are inconsistent. The potential of this algorithm for overcoming the combinatorial growth in combinations of interpretations is supporte
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Dissertations / Theses on the topic "Ambiguity detection"

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Hsiao, Edward. "Addressing Ambiguity In Object Instance Detection." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/309.

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In this thesis, we study the topic of ambiguity when detecting object instances in scenes with severe clutter and occlusions. Our work focuses on the three key areas: (1) objects that have ambiguous features, (2) objects where discriminative point-based features cannot be reliably extracted, and (3) occlusions. Current approaches for object instance detection rely heavily on matching discriminative point-based features such as SIFT. While one-to-one correspondences between an image and an object can often be generated, these correspondences cannot be obtained when objects have ambiguous featur
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Nazir, Mahvish. "Automotive radar target detection using ambiguity function." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6842/.

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The risk of collision increases, as the number of cars on the road increases. Automotive radar is an important way to improve road traffic safety and provide driver assistance. Adaptive cruise control, parking aid, pre-crash warning etc. are some of the applications of automotive radar which are already in use in many luxury cars today. In automotive radar a commonly used modulation waveform is the linear frequency modulated continuous waveform (FMCW); the return signal contains the range and velocity information about the target related through the beat frequency equation. Existing techniques
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Mendling, Jan, Fabian Pittke, and Henrik Leopold. "Automatic detection and resolution of lexical ambiguity in process models." Gesellschaft für Informatik e.V, 2016. https://dl.gi.de/handle/20.500.12116/730.

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Cankaya, Erkan. "Use Of The Ambiguity Function Technique For Target Detection In Phase Coded Continuous Wave Radars." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606767/index.pdf.

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The goal of this thesis study is to investigate the Ambiguity Function Technique for target detection in phase-coded continuous wave radar. Also, phase shift keying techniques are examined in detail. Continuous Wave (CW) Radars, which are also known as Low Probability of Intercept (LPI) radars, emit continuous signals in time which are modulated by either frequency modulation or phase modulation techniques. Modulation of the transmitted radar signal is needed to estimate both the range and the radial velocity of the detected targets. In this thesis, Phase Shift Keying (PSK) techniques such as
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Patton, Lee Kenneth. "On the Satisfaction of Modulus and Ambiguity Function Constraints in Radar Waveform Optimization for Detection." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1247595193.

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Shaban, Fahad. "Application of L1 reconstruction of sparse signals to ambiguity resolution in radar." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47637.

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The objective of the proposed research is to develop a new algorithm for range and Doppler ambiguity resolution in radar detection data using L1 minimization methods for sparse signals and to investigate the properties of such techniques. This novel approach to ambiguity resolution makes use of the sparse measurement structure of the post-detection data in multiple pulse repetition frequency radars and the resulting equivalence of the computationally intractable L0 minimization and the surrogate L1 minimization methods. The ambiguity resolution problem is cast as a linear system of equations w
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Kliner, Shelbie B. "Empirical Characterization of Variability Among Affymetrix Probe Set Expression Summaries by Sequence Fidelity." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd_retro/175.

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Microarray technology provides a quantitative assessment of the number of gene transcripts gene using a high-throughput hybridization assay. Reliable detection of gene expression therefore requires reliable design of probes used in the hybridization assay. It is noted that microarray gene expression measurements are often characterized by variability, even among a series of technical replicate arrays. Therefore, sequence verification, used as a low-level filter to exclude probes exhibiting sequence inaccuracies, has previously been shown to reduce gene expression variability.Building on thi
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Akangol, Mehmet. "Target Detection By The Ambiguity Function Technique And The Conventional Fourier Transform Technique In Frequency Coded Continuous Wave Radars." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606766/index.pdf.

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Continuous Wave (CW) radars are preferred for their low probability of intercept by the other receivers. Frequency modulation techniques, the linear frequency modulation (LFM) technique in particular, are commonly used in CW radars to resolve the range and the radial velocity of the detected targets. The conventional method for target detection in a linear FMCW radar makes use of a mixer followed by a low-pass filter whose output is Fourier transformed to get the range and velocity information. In this thesis, an alternative target detection technique based on the use of the Ambiguity Function
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Garcia, Thomas. "A behavioral approach of decision making under risk and uncertainty." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132313/1/Thomas%20Jean-Christophe%20Lucien_Garcia_Thesis.pdf.

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This thesis investigates how individuals make decisions under risk and uncertainty. It is composed of four essays that theoretically and experimentally investigate decision-making. First, I study situations where individuals must decide whether an event has occurred using uncertain evidence. I highlight that individuals tend to maximize accuracy instead of maximizing expected payoffs. I find that it is partially due to the existence of a value of being right and a recency bias. Second, I study how ambiguity on the costs or the benefits of a donation affects donation behavior. I show that indiv
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Garcia, Thomas. "A behavioral approach of decision making under risk and uncertainty." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE2042/document.

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Cette thèse porte sur la façon dont les individus prennent des décisions en présence de risque et d'incertitude. Elle est composée de quatre essais qui étudient théoriquement et expérimentalement la prise de décision.Les deux premiers essais étudient des situations où un décideur doit décider si un événement a eu lieu en utilisant des informations incertaines. Le fait d'identifier correctement que cet événement s'est produit est plus rémunéré que le fait d'identifier correctement qu'il ne s'est pas produit. Ce problème de décision induit une divergence entre deux qualités d'une décision : l'op
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Books on the topic "Ambiguity detection"

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Jeffries, Roderic. The ambiguity of murder. St. Martin's Minotaur, 2001.

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Vincent, Ms Diane D. Ambiguity. CreateSpace Independent Publishing Platform, 2011.

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Hofstedt, Thomas. Ambiguity of Justice. Career III Publishing, 2022.

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Bricker, Andrew Benjamin. Libel and Lampoon. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192846150.001.0001.

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Legal pressures fundamentally shaped English satire during the long eighteenth century. Rather than being purely repressive, however, the law often encouraged authors and their booksellers to find creative ways to write and publish satire to circumvent both the authorities and the courts. As part of their strategy, satirists developed verbally evasive forms of satire, producing coyly ironic, densely allegorical, and circumlocutory rhetorical styles markedly unlike the seventeenth century’s most bald-faced manuscript lampoons. Shifty printers and booksellers also complicated the mechanics of de
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Jeffries, Roderic. Ambiguity of Murder: An Inspector Alvarez Mystery. St. Martin's Press, 2015.

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Jeffries, Roderic. The Ambiguity of Murder (Inspector Alvarez Novel S.). Collins Crime, 1999.

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Lash, Dominic. Cure. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781839025976.

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Kiyoshi Kurosawa’s 1997 psychological horror,Cure, follows a detective (played by Koji Yakusho) as he investigates a string of gruesome murders in Tokyo, where each victim has an ‘X’ carved into their neck. Dominic Lash provides an in-depth analysis ofCure's themes, generic conventions, cinematography, editing, mise-en-scène, sound, and legacy. In examining the film's aesthetics he highlights the unique way in which it balances meticulous precision with a persistent and purposeful ambiguity. Lash goes on to situateCurewithin its various contexts; firstly, as Kurosawa's 'breakthrough' film foll
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Murley, Jean. The Rise of True Crime. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798216009276.

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During the 1950s and 1960s True Detective magazine developed a new way of narrating and understanding murder. It was more sensitive to context, gave more psychologically sophisticated accounts, and was more willing to make conjectures about the unknown thoughts and motivations of killers than others had been before. This turned out to be the start of a revolution, and, after a century of escalating accounts, we have now become a nation of experts, with many ordinary people able to speak intelligently about blood-spatter patterns and organized vs. disorganized serial killers. The Rise of True C
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Book chapters on the topic "Ambiguity detection"

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Gleich, Benedikt, Oliver Creighton, and Leonid Kof. "Ambiguity Detection: Towards a Tool Explaining Ambiguity Sources." In Requirements Engineering: Foundation for Software Quality. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14192-8_20.

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Basten, Hendrikus J. S., Paul Klint, and Jurgen J. Vinju. "Ambiguity Detection: Scaling to Scannerless." In Software Language Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28830-2_17.

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Xu, Guochang, and Yan Xu. "Cycle Slip Detection and Ambiguity Resolution." In GPS. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50367-6_8.

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Coste, François, and Daniel Fredouille. "Efficient Ambiguity Detection in C-NFA." In Grammatical Inference: Algorithms and Applications. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-45257-7_3.

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Schmitz, Sylvain. "Conservative Ambiguity Detection in Context-Free Grammars." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73420-8_60.

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Chountasis, Spiros, Dimitris Sklavounos, and Dimitris Pappas. "Ambiguity Function as a Network Intrusion Detection Indicator." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81325-2_23.

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Basten, H. J. S. "Context-Free Ambiguity Detection Using Multi-stack Pushdown Automata." In Developments in Language Theory. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53132-7_1.

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Goodluck Constance, Tracy, Nikesh Bajaj, Marvin Rajwadi, et al. "Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86383-8_30.

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An, Tongjian, Xuefei Shui, and Hongkui Gao. "Deep Learning Based Webshell Detection Coping with Long Text and Lexical Ambiguity." In Information and Communications Security. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15777-6_24.

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Chacon-Murguía, Mario I., Yearim Quezada-Holguín, Pablo Rivas-Perea, and Sergio Cabrera. "Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21587-2_33.

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Conference papers on the topic "Ambiguity detection"

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Yin, Chengyu, P. J. G. Teunissen, and C. C. J. M. Tiberius. "Implementation of Ambiguity-Resolved Detector for High-Precision GNSS Fault Detection." In 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024). Institute of Navigation, 2024. http://dx.doi.org/10.33012/2024.19786.

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Kato, Toshiharu, Satoshi Masuda, and Kazuhiko Tsuda. "Design and construction of requirement specifications ambiguity detection support method." In 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2024. http://dx.doi.org/10.1109/icstw60967.2024.00033.

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Aiman Seh Wali, Siti Syara, Azlin Nordin, and Norsaremah Salleh. "A Comparison Study of the Existing Requirements Ambiguity Detection Framework." In 2024 10th International Conference on Computing, Engineering and Design (ICCED). IEEE, 2024. https://doi.org/10.1109/icced64257.2024.10983551.

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Wu, Wen, Bo Li, Chao Zhang, et al. "Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.114.

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Shi, Zhengyan, Giuseppe Castellucci, Simone Filice, et al. "Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models." In Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.trustnlp-main.4.

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Zhao, Peng, Pengbo Wang, Tao Tang, Ziheng Ren, and Zhirong Men. "An Improved Range Ambiguity Resolution Algorithm for GNSS-Based Bistatic Radar Target Detection." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642096.

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Mao, Yitong, Chong Song, Bingnan Wang, and Chenhao Zhao. "Algorithm for the Multi-target Joint Detection and Ambiguity Resolving Based on Dynamic Programming." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10617924.

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Ahmed, Sahil, Samer Khanafseh, and Boris Pervan. "Experimental Validation of GNSS Spoofing Detection by Decomposition of the Complex Cross Ambiguity Function." In 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2025. https://doi.org/10.1109/plans61210.2025.11028248.

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Yang, Handong, Rui Wang, Jiong Cai, and Weidong Li. "Long-distance detection method of the high-speed target under distance ambiguity based on DP-RFT." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868858.

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Sproat, Richard, and Jan P. H. van Santen. "Automatic ambiguity detection." In 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-481.

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