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Dissertations / Theses on the topic 'Ambiguity detection'

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Hussain, Zahir M. "Adaptive instantaneous frequency estimation: Techniques and algorithms." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36137/7/36137_Digitised%20Thesis.pdf.

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This thesis deals with the problem of the instantaneous frequency (IF) estimation of sinusoidal signals. This topic plays significant role in signal processing and communications. Depending on the type of the signal, two major approaches are considered. For IF estimation of single-tone or digitally-modulated sinusoidal signals (like frequency shift keying signals) the approach of digital phase-locked loops (DPLLs) is considered, and this is Part-I of this thesis. For FM signals the approach of time-frequency analysis is considered, and this is Part-II of the thesis. In part-I we have uti
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12

Basten, Bas. "Ambiguity Detection for Programming Language Grammars." Phd thesis, 2011. http://tel.archives-ouvertes.fr/tel-00644079.

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Context-free grammars are the most suitable and most widely used method for describing the syntax of programming languages. They can be used to generate parsers, which transform a piece of source code into a tree-shaped representation of the code's syntactic structure. These parse trees can then be used for further processing or analysis of the source text. In this sense, grammars form the basis of many engineering and reverse engineering applications, like compilers, interpreters and tools for software analysis and transformation. Unfortunately, context-free grammars have the undesirable prop
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13

Hussain, H. M. Ishrar. "Using text classification to automate ambiguity detection in SRS documents." Thesis, 2007. http://spectrum.library.concordia.ca/975462/1/MR34442.pdf.

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Software Requirements Specification (SRS) is one of the most important artifacts produced during the software development lifecycle. In practice, requirements specifications are initially written in natural language, which allows them to be corrupted with different forms of ambiguity that eventually may contribute to critical failure in the subsequent phases of the system's development, if they are not detected at the time of requirements validation. The objective of this work is to study possible automation of detecting ambiguity in SRS documents by means of a text classification system. The
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14

Wei-ru, Chen, and 陳韋儒. "The Study of Using Ambiguity Function in Underwater Target Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2wjdh7.

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碩士<br>國立中山大學<br>海下科技研究所<br>106<br>Taiwan is surrounded by ocean so that harbor defense has always been one of the most important topics of development priorities. Whether building a passive or active acoustic system, we must first grasp the sound field characteristics of the harbor. When soundwave propagated in ocean, the energy of soundwave will be absorbed by boundary or will decrease due to multipath effect. In this situation, to detect underwater target became more difficult and inaccurate due to the poor signal to noise ratio (SNR). Thus, the aims of this research were to develop received
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15

"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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16

Cheng, Tang-wen, and 鄭唐文. "Complexity Reduction and Ambiguity Resolution of Blind Data Detector in SFBC-OFDM Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/d98xd7.

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碩士<br>國立中山大學<br>通訊工程研究所<br>102<br>In this research, a low-complexity blind data detector scheme for orthogonal frequency division multiplexing (OFDM) system is proposed, where the generalized likelihood ratio test (GLRT) approach is adopted. The traditional GLRT data detector (GDD) suffers from prohibitively high computational complexity since all the subcarriers are jointly considered. Therefore, previous studies proposed a sub-group GDD (SGDD) by progressively dealing with a subgroup of subcarriers at one time. It is shown that, the unique solution of SGDD is guaranteed if the size of sub-gr
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17

Hong, Guo-fong, and 洪國峰. "A Channel Coding Scheme for Solving Ambiguity in OFDM Systems Using Blind Data Detector." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/20047668657100550127.

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碩士<br>國立中山大學<br>通訊工程研究所<br>100<br>In orthogonal frequency division multiplexing (OFDM) system, blind estimator was proposed which can obtain high bandwidth efficiently. There is a serious ambiguity problem in blind data detector structure. Solution methods can divide into three cases: pilot signal, superimposed training, and channel coding. In order to achieve totally blind estimate, we use channel coding to solve ambiguity in this thesis. In previous study, it had been use low-density-parity-check code (LDPC) to solve ambiguity, and proposed an encoding method to avoid ambiguity for BPSK. How
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