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1
Naeem, Asad. "Single and multiple target tracking via hybrid mean shift/particle filter algorithms." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/12699/.
Full textAbstract:
This thesis is concerned with single and multiple target visual tracking algorithms and their application in the real world. While they are both powerful and general, one of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This thesis addresses the particle spread management problem. Three novel tracking algorithms are presented, each of which combines particle filtering and Kernel Mean Shift methods to produce more robust and accurate tracking. The first single target tracking algorithm, the Structured Octal Kernel Filter (SOK), combines Mean Shift (Comaniciu et al 2003) and Condensation (Isard and Blake 1998a). The spread of the particle set is handled by structurally placing the particles around the object, using eight particles arranged to cover the maximum area. Mean Shift is then applied to each particle to seek the global maxima. In effect, SOK uses intelligent switching between Mean Shift and particle filtering based on a confidence level. Though effective, it requires a threshold to be set and performs a somewhat inflexible search. The second single target tracking algorithm, the Kernel Annealed Mean Shift tracker (KAMS), uses an annealed particle filter (Deutscher et al 2000), but introduces a Mean Shift step to control particle spread. As a result, higher accuracy and robustness are achieved using fewer particles and annealing levels. Finally, KAMS is extended to create a multi-object tracking algorithm (MKAMS) by introducing an interaction filter to handle object collisions and occlusions. All three algorithms are compared experimentally with existing single/multiple object tracking algorithms. The evaluation procedure compares competing algorithms' robustness, accuracy and computational cost using both numerical measures and a novel application of McNemar's statistic. Results are presented on a wide variety of artificial and real image sequences.
2
Kalkan, Yilmaz. "Target Localization Methods For Frequency-only Mimo Radar." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614805/index.pdf.
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This dissertation is focused on developing the new target localization and the target velocity estimation methods for frequency-only multi-input, multi-output (MIMO) radar systems with widely separated antennas. If the frequency resolutions of the transmitted signals are enough, only the received frequencies and the Doppler shifts can be used to find the position of the target.
In order to estimate the position and the velocity of the target, most multistatic radars or radar networks use multiple independent measurements from the target such as time-of-arrival (TOA), angle-of-arrival (AOA) and frequency-of-arrival (FOA). Although, frequency based systems have many advantages, frequency based target localization methods are very limited in literature because of the fact that highly non-linear equations are involved in solutions. In this thesis, alternative target localization and the target velocity estimation methods are proposed for frequency-only systems with low complexity.
One of the proposed methods is able to estimate the target position and the target velocity based on the measurements of the Doppler frequencies. Moreover, the target movement direction can be estimated efficiently. This method is referred to as "Target Localization via Doppler Frequencies - TLDF"
and it can be used for not only radar but also all frequency-based localization systems such as Sonar or Wireless Sensor Networks. Besides the TLDF method, two alternative target position estimation methods are proposed as well. These methods are based on the Doppler frequencies, but they requires the target velocity vector to be known. These methods are referred to as "
Target Localization via Doppler Frequencies and Target Velocity - TLD&
V methods"
and can be divided two sub-methods. One of them is based on the derivatives of the Doppler Frequencies and hence it is called as "
Derivated Doppler - TLD&
V-DD method"
. The second method uses the Maximum Likelihood (ML) principle with grid search, hence it is referred to as "
Sub-ML, TLD&
V-subML method"
. The more realistic signal model for ground based, widely separated MIMO radar is formed as including Swerling target fluctuations and the Doppler frequencies. The Cramer-Rao Bounds (CRB) are derived for the target position and the target velocity estimations for this signal model. After the received signal is constructed, the Doppler frequencies are estimated by using the DFT based periodogram spectral estimator. Then, the estimated Doppler frequencies are collected in a fusion center to localize the target. Finally, the multiple targets localization problem is investigated for frequency-only MIMO radar and a new data association method is proposed. By using the TLDF method, the validity of the method is simulated not only for the targets which are moving linearly but also for the maneuvering targets. The proposed methods can localize the target and estimate the velocity of the target with less error according to the traditional isodoppler based method. Moreover, these methods are superior than the traditional method with respect to the computational complexity. By using the simulations with MATLAB, the superiorities of the proposed methods to the traditional method are shown.
3
Lillkung, Lilianna. "À la recherche de la métaphore scientifique - termes médicaux en traduction." Thesis, Linnéuniversitetet, Institutionen för språk (SPR), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37626.
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From a general point of view, the aim of this thesis is to study the appearance and the translation of the metaphor in a context that involves specialized texts. Our purpose is also to examine the historical expression of metaphor within aspects connected to its importance for creation of scientific terms. More precisely, the main object is to explore how metaphors have been used in the field of medical terminology and by which methods they have been translated across the languages. Our approach is based on the definition of conceptual metaphor conceived by Lakoff & Johnson as a product of projections made by the thought (mapping). According to that idea, the metaphor constitutes a universal and essential element of human language and, therefore, also a keystone of the human communication reproduced at every level of social activity. From the cognitive point of view, our approach is also based on the theory of blending proposed by Fauconnier & Turner. It is diachronic and multidisciplinary as well, which means that a particular focus has been placed on the etymology of medical terms, which we have explored in the scientific context where those terms have been created and used. The database in this study is composed of medical terms emerging from scientific texts that we have translated from French to Swedish. During our analysis, we have explored the occurrence of conceptual metaphor across the source language and the target language (the last one is in fact represented in this thesis by four languages: French, Swedish, English and Polish). The translation methods have been analyzed according to the model of Vinay & Darbelnet. Our result indicates that conceptual metaphor plays a crucial role in the creation of medical terminology. It indicates also that the conceptualization of a medical phenomenon (expressed by mapping and blending) is almost always preserved in its original form in the target language. This observation implies that cognitive factors are activated during the process of translation. Our conclusion is made within the historical and scientific context, in other words regarding the context where the metaphorical terms have been created and afterwards transferred to other languages. Key words: conceptual metaphor, metaphorical term, cognitive, etymology, medicine, scientific language, mapping, blending, conceptual shift, linguistic shift, translation, source language, target language.
4
Gogolashvili, Davit. "Global and local Kernel methods for dataset shift, scalable inference and optimization." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS363v2.pdf.
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Dans de nombreux problèmes du monde réel, les données de formation et les données de test ont des distributions différentes. Cette situation est communément appelée " décalage de l'ensemble de données ". Les paramètres les plus courants pour le décalage des ensembles de données souvent considérés dans la littérature sont le décalage des covariables et le décalage des cibles. Dans cette thèse, nous étudions les modèles nonparamétriques appliqués au scénario de changement d'ensemble de données. Nous développons un nouveau cadre pour accélérer la régression par processus gaussien. En particulier, nous considérons des noyaux de localisation à chaque point de données pour réduire les contributions des autres points de données éloignés, et nous dérivons le modèle GPR découlant de l'application de cette opération de localisation. Grâce à une série d'expériences, nous démontrons la performance compétitive de l'approche proposée par rapport au GPR complet, à d'autres modèles localisés et aux processus gaussiens profonds. De manière cruciale, ces performances sont obtenues avec des accélérations considérables par rapport au GPR global standard en raison de l'effet de sparsification de la matrice de Gram induit par l'opération de localisation. Nous proposons une nouvelle méthode pour estimer le minimiseur et la valeur minimale d'une fonction de régression lisse et fortement convexe à partir d'observations contaminées par du bruit aléatoireIn many real world problems, the training data and test data have different distributions. The most common settings for dataset shift often considered in the literature are covariate shift and target shift. In this thesis, we investigate nonparametric models applied to the dataset shift scenario. We develop a novel framework to accelerate Gaussian process regression. In particular, we consider localization kernels at each data point to down-weigh the contributions from other data points that are far away, and we derive the GPR model stemming from the application of such localization operation. We propose a new method for estimating the minimizer and the minimum value of a smooth and strongly convex regression function from the observations contaminated by random noise
5
Hellner, Joakim. "Introducing quality assessment and efficient management of cellular thermal shift assay mass spectrometry data." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-311792.
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Recent advances in molecular biology has led to the discovery of many new potential drugs. However, difficulties with in situ analysis of ligand binding prevents quick advancement in clinical trials, which stresses the need for better direct methods. A relatively new methodology, called Cellular Thermal Shift Assay (CETSA), allows for detection of ligand binding in a cells natural environment and can be used in combination with Mass Spectrometry (MS) for readout. With help from the Pelago Bioscience team, I developed a pipeline for processing of CETSA MS data and a web based system for viewing the results. The system, called CETSA Analytics, also evaluates the results relevance and helps its users to locate information efficiently. CETSA Analytics is currently being tested by Pelago Bioscience AB as a tool for experimental data distribution.
6
Westling, Måns. "A Qualitative Descriptive Translation Study of Shakespeare's Romeo and Juliet." Thesis, Stockholm University, Department of English, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8055.
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This essay is a qualitative descriptive translation study concerning two translations of Shakespeare’s Romeo and Juliet into Swedish. The purpose of the study is to investigate the translational behaviour of the translators and the translation norms that govern this behaviour.
By thoroughly analysing stretches of the play, the study will attempt to locate translation shifts (linguistic changes) that occur in the translation from the source text to the target text. These changes are connected with the translators’ fidelity towards e.g. the metre of the verse or the sense transfer of puns. The analysis also comprises a survey of the translation norms that the translators adhere to. These norms, stated by the translators themselves, are connected to their translation approach. Thus, the study will reveal the differences of translation behaviour and analyse them from a wider perspective. The translations were made around 1840 and in 1982, respectively. The considerable space in time in itself suggests that linguistic differences will occur. However, the study will also find differences as regards the purposes of the translations. The older translation appears to be performed in a tradition of fidelity to the written text and its literary qualities, whereas the modern translation clearly has the purpose of being used for the stage performance. The latter is stated by the translator himself, who also argues that Shakespeare is to be considered drama and not literature.
7
Darienzo, Matteo. "Detection and estimation of stage-discharge rating shifts for retrospective and real-time streamflow quantification." Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALU006.
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Les séries temporelles de débit des rivières sont établies à l'aide de "courbes de tarage", qui sont des modèles avec les hauteurs d’eau en entrée et les débits en sortie. Malheureusement, de nombreuses stations hydrométriques ont une relation hauteur-débit instable, notamment à cause de l’évolution du lit de la rivière lors des crues. Ces "détarages" posent problème à la fois pour l'établissement des séries hydrologiques de long-terme (analyse rétrospective) et pour la fourniture de données en temps réel, par exemple pour la prévision des inondations, avec des incertitudes quantifiées et fiables. Les méthodes existantes pour la mise à jour de la courbe de tarage sont basées sur une analyse statistique des données de calibration (jaugeages) passées ou sur des règles empiriques. Cette thèse a permis de développer des méthodes originales pour la détection automatique des détarages et l'estimation de leur amplitude en rétrospectif et en temps réel : une méthode de segmentation des résidus entre les jaugeages et une courbe de référence, une analyse des récessions du limnigramme et une détection de détarages potentiels à partir d'un indicateur disponible en temps réel (par exemple, transport sédimentaire cumulé). L'approche probabiliste permet d'une part de prendre en compte l'incertitude des informations sur les détarages et d'autre part de quantifier les incertitudes sur les débits calculés. La combinaison des trois méthodes a été appliquée à la station de l’Ardèche à Meyras, en France, qui présente des détarages nets après chaque crue importante. Une bonne détection et estimation des détarages a été observée en rétrospectif et en temps réel. La méthode est générale et applicable en opérationnel à d’autres stations après validation. La méthode est générique et, après davantage de validation, applicable en opérationnel à d'autres sitesRiver discharge time series are established using "rating curves", which are models with stage as input and discharge as output. Unfortunately, many hydrometric stations have an unstable stage-discharge relation, particularly because of the change in the river bed during floods. These "rating shifts" pose a problem both for the establishment of long-term hydrological series (retrospective analysis) and for the delivery of real-time data, for example for flood forecasting, with quantified and reliable uncertainties. The existing methods for updating the rating curve are based on a statistical analysis of past calibration data (the gaugings) or on empirical rules. This thesis aims at developing some original methods for the automatic detection of rating shifts and the estimation of their magnitude in both retrospective and real time: a method of segmentation of the residuals between the gaugings and a base rating curve, an analysis of the stage recessions and a method for detecting potential shifts from an indicator available in real time (e.g. cumulative sediment transport). The probabilistic approach allows on the one hand to take into account the uncertainty of the information on the shift and on the other hand to quantify the uncertainties of the calculated streamflow. The combination of the three methods has been applied to the Ardèche at Meyras, France, which shows net shifts after each major flood. Good detection and estimation of the rating shift has been observed retrospectively and in real time. The method is generic and, after further validation, operationally applicable to other sites
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Gorsedene, Christa. "A heuristic and HSSI exploration of experiencing interplay between spiritual guidance and synchronicity within person-centred encounters." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/a-heuristic-and-hssi-exploration-of-experiencing-interplay-between-spiritual-guidance-and-synchronicity-within-personcentred-encounters(3a4e4301-d034-4d71-8b40-5f4b8b5779c8).html.
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This research has been a study in amazement. Initially an agnostic physics graduate, the researcher undertook training in the person-centred approach (pca) to self-development and counselling, during which she came to experience strange personal experiences which she could neither gainsay nor fit into her then worldview. Sketching these briefly, exceptional human experiences (EHEs) and synchronicities increasingly happened until (shockingly) they declared a seeming spirit guide (Mungo) to her, also juxtaposed in time with her first-ever chance encounter with dowsing. Thereafter these phenomena, combined with randomisable image-cards, tutored her into a physically observable method of 'discussion' with them (alone or with another) conducted with pca values. This PhD involved researching that phenomenon-complex through 'discussions' with 35 participants. The methodology used was heuristics and its heuristic self-search inquiry specialism (HSSI) whose attention to personal experiencing, indwelling to contact tacit knowledge, and incubatory rest phases to foster illuminatory new 'ahaa!' apprehensions suited this nascent mysterious subject. Both participants and researcher experienced coincidences weaving the 'discussions' and their wider lives together. Thus synchronicity became equal-partner research-topic, being studied as it occurred and, through affecting certain choices, becoming part of the methodology itself. The phenomenon-complex was experienced as fostering ethical living, creativity, personal development and science-spirituality interconnection in ways wellpitched and paced for each experiencer. The phenomena were also experienced as synergizing with each other, and as fostering integration within and between persons. After work on the participant sessions was completed, the writings of further thesis chapters were 'butted into' by in-the-moment relevant synchronicities, not just singly but in flows and patterns in which the researcher found herself discerning overarching meanings. Given this exceptional opportunity the researcher (in effect doing a bonus research-section) tracked her experiencing of these synchronistic flows and her responses thereto wherever they led, using Sela-Smith's first-person heuristic self-search inquiry (HSSI) methodology. Each synchronistically-influenced chapter was experienced as exploring certain themes, with themes building as the thesis progressed. Heuristics and HSSI are usually transformative. This researcher was transformed from the ground up from agnosticism to credence in 'something more' through her experiencings (both alone and inter-relationally with participants). Their 'package deal' presented personal shadow-work alongside help in life difficulties, and great fascination but darker times too. In total she came to feel part of an interconnected, spiritually-intelligent and compassionate cosmic domain, and existentially happier.
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Lin, Yong-Yuan, and 林永淵. "Video Object Tracking using Mean-Shift Algorithm with Adaptive Target Model." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79669014619972281165.
Full textAbstract:
碩士國立東華大學
資訊工程學系
94
We present a video object tracking algorithm based on a mean-shift algorithm with an adaptive target model that can distinguish a target object from its surrounding background. The target model records a relative likelihood ratio of the feature attributions between the target object and the surrounding background. Moreover, the target model is dynamically updated to reflect the changes of the probability density function of the tracking object. An energy-log-likelihood ratio test is applied to compute the confidences of new features in the video sequence. A segmentation algorithm is designed to estimate break points located on the object contour using the distribution of likelihood ratios. The experimental results demonstrate that the proposed tracking algorithm can (1) effectively discriminate target object from the surrounding background, (2) robustly and accurately track target object, (3) estimate and conserve object contour, and (4) adaptively learn the new appearance of target object.
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Kun-Yo, Lin. "Automatic Target Recognition Based on High Resolution Range Profiles with Unknown Circular Range Shift." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-2607200617223500.
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Wang, Pang-Ta, and 王邦達. "Unsupervised Target Classification and Estimation of The Orientation Angle Shift Using Fully Polarimetric SAR." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/95179442599975794674.
Full textAbstract:
碩士國立中央大學
太空科學研究所
92
Abstract This study included two parts of using fully Polarimetric Synthetic Aperture Radar (POLSAR) data. First, classification of Earth terrain components using a POLSAR image which is one of the important applications of Radar Polarimetric; second, we used POLSAR to measure azimuth slopes that are related to shifts in polarization orientation angle. Polarization orientation angle is one of the parameters among the wealth of polarimetric information when analyzing POLSAR data. At first, we used a method for unsupervised classification of terrain types and man-made objects by POLSAR data. This technique is a combination of the unsupervised classification based on Polarimetric target decomposition and the maximum likelihood classifier based on the complex Wishart distribution for the Polarimetric covariance matrix. This unsupervised classification based on the use of two-dimensional Entropy (H) / Alpha angle (α) classification plane, where all random scattering mechanisms can be represented. Then, we appended the Anisotropy (A) information to the unsupervised classification combined Wishart classifier. After comparing the Au-Gu farm ground truth map with our classification result, the experiment results agreed with ground truth map. We introduced the Anisotropy (A) information, and found it allowed the improvement of the capability to distinguish between different classes whose cluster centers end in the same Entropy (H) – Alpha (α) zone. Second, we used POLSAR to measure azimuth slopes. When SAR images a rugged terrain area, surface slopes have two main effects on the SAR image response. The first is the change of radar cross section per unit image area, and the second is that polarization states are also affected, because azimuth slopes induce polarization orientation changes. We used the polarization characteristic, and the circular Polarization algorithm to estimate polarization orientation angle shifts. For comparison, the orientation angles from a digital elevation model (DEM) generated using C-band interferometry. However, the experiment results in TAIWAN POLSAR data sets were very noisy. At last, we listed and discussed some possible sources that affected the experiment results.
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Lin, Kun-Yo, and 林昆佑. "Automatic Target Recognition Based on High Resolution Range Profiles with Unknown Circular Range Shift." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/67431811745553917573.
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碩士元智大學
通訊工程學系
94
In this thesis, an automatic aircraft target recognition (ATR) framework is presented, which is based on the high resolution range profiles (HRRP) of aircraft targets. This work is divided into two major parts. First, we consider the generation of the HRRP, which includes the modeling and simulation of radar cross section (RCS), the design of step frequency waveform (SFW), and IFFT processing for HRRP synthesis. In practice, a possible circular shift of the received HRRP relative to the template HRRPs in target library may exist. In such a situation, we resort to the statistical classification technique to develop ATR algorithms. We propose two kind of recognition algorithms including maximum a posteriori (MAP) decision rule, and quadratic classifier. In MAP criterion, we use the concept of signal space. we adopt the Gram-Schmidt orthogonalization (GSO) procedure to construct a signal space, and then project the received HRRP onto the signal space. Finally, the target classification can be done in terms of MAP decision rule. Generally speaking, the standard approaches for ATR use the entire range profile as the feature vector. Training the classifier is simply a statistical parameter problem. The estimation of the parameters is based on the observation of the target over a small range of viewing aspects. And the quadratic classifier is the most popular choice. Simulation results are also included to demonstrate the feasibility of these approaches.
13
Kumar, Vikash. "Mitigating Domain Shift via Self-training in Single and Multi-target Unsupervised Domain Adaptation." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5910.
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Though deep learning has achieved significant successes in many computer vision tasks, the state-of-the-art approaches rely on the availability of a large amount of labeled data for supervision, collection of which is expensive and time-consuming. Moreover, the performance of these models suffer when there is a mismatch between training and test data distributions. Motivated by this, we design Unsupervised Domain Adaptation (UDA) algorithms that address the distribution shifts without requiring label information in order to adapt to the new environment. In the first part of this work, we show that the class-aware frequency transformation obtained via self-training helps to reduce the style bias in the source dataset, thereby improving the target adaptation performance. Further, we address a more challenging and practical setting of source-free multi-target domain adaptation, where there is only one source, but multiple unlabeled target domains, and the source labels are assumed unavailable during target adaptation.
We explore the utility of frequency transformation for reducing the style bias between the source and target domains (e.g., the bias between the synthetic images and the natural images, respectively). The performance of the existing UDA methods degrades when the domain gap between source and target distributions is significant. In order to bring these domains closer, we propose ‘Class Aware Frequency Transformation’ (CAFT), which utilizes pseudo label-based class aware low-frequency swapping of image-magnitude spectrum to reduce the domain gap and thereby improve the performance. When compared with the state-of-the-art generative methods, our proposed approach is computationally efficient and can easily be plugged into an existing UDA algorithm to improve its performance. Additionally, towards mitigating the pseudo-label noise, we introduce a novel approach based on the absolute difference between top-2 class prediction probabilities (ADT2P), which separates target pseudo labels into clean and noisy sets. Our proposed UDA strategy substantially benefits from utilizing these ‘clean samples’ only, thereby resulting in a further improvement in overall performance.
We introduce the novel task of Source-free Single and Multi-target Domain Adaptation and propose a novel framework named Consistency with Nuclear-Norm Maximization and MixUp knowledge distillation (CoNMix) as a solution to this problem. The primary motivation of this work is to address the Single and Multi-target Domain Adaptation in the source-free paradigm, where access to labeled source data is restricted during target adaptation due to various practical privacy-related restrictions on data sharing. Our source-free approach leverages self-training using target pseudo labels to improve the target adaptation performance. We propose consistency between label preserving augmentations and utilize pseudo label refinement methods to reduce noisy pseudo labels. Further, to build one source-free Multi-target Domain Adaptation model using multiple single-target DA models, we use the concept of the MixUp Knowledge Distillation. We also demonstrate that by utilizing the modern Vision Transformers as backbones, we can obtain better feature representations leading to improved domain transferability and class discriminability. This further helps to boost the performance of source-free Single-target and Multi-target Domain Adaptation.
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Zheng, Yuan-Song, and 鄭源松. "A Real-time Embedded Implementation of Modified Mean-shift Algorithm for Multi-target Visual Tracking." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/27642622059188183782.
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Jardak, Seifallah. "Colocated MIMO Radar: Beamforming, Waveform design, and Target Parameter Estimation." Thesis, 2014. http://hdl.handle.net/10754/317255.
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Thanks to its improved capabilities, the Multiple Input Multiple Output (MIMO) radar is attracting the attention of researchers and practitioners alike. Because it transmits orthogonal or partially correlated waveforms, this emerging technology outperformed the phased array radar by providing better parametric identifiability, achieving higher spatial resolution, and designing complex beampatterns.
To avoid jamming and enhance the signal to noise ratio, it is often interesting to maximize the transmitted power in a given region of interest and minimize it elsewhere. This problem is known as the transmit beampattern design and is usually tackled as a two-step process: a transmit covariance matrix is firstly designed by minimizing a convex optimization problem, which is then used to generate practical waveforms. In this work, we propose simple novel methods to generate correlated waveforms using finite alphabet constant and non-constant-envelope symbols. To generate finite alphabet waveforms, the proposed method maps easily generated Gaussian random variables onto the phase-shift-keying, pulse-amplitude, and quadrature-amplitude modulation schemes. For such mapping, the probability density function of Gaussian random variables is divided into M regions, where M is the number of alphabets in the corresponding modulation scheme. By exploiting the mapping function, the relationship between the cross-correlation of Gaussian and finite alphabet symbols is derived.
The second part of this thesis covers the topic of target parameter estimation. To determine the reflection coefficient, spatial location, and Doppler shift of a target, maximum likelihood estimation yields the best performance. However, it requires a two dimensional search problem. Therefore, its computational complexity is prohibitively high. So, we proposed a reduced complexity and optimum performance algorithm which allows the two dimensional fast Fourier transform to jointly estimate the spatial location and Doppler shift. To assess the performance of the proposed estimators, the Cramér-Rao Lower Bound (CRLB) is derived. Simulation results show that the mean square estimation error of the proposed estimators achieve the CRLB.
Keywords:
Collocate antennas, multiple-input multiple-output (MIMO) radar, Finite alphabet waveforms, Hermite polynomials, Reflection coefficient, Doppler, Spatial location, Cramér-Rao Lower Bound.
16
Liu, Jie-Hua, and 劉玠樺. "An Anti-collision Detection Method for Vehicle Doors Opening Using Multilevel Target Region Estimation and Adaptive Scale Mean Shift Tracking." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/49970848803933265359.
Full textAbstract:
碩士國立中興大學
資訊科學與工程學系
102
To avoid the car accident due to vehicle doors opening, we need an anti-collision detection method. Our anti-collision detection method uses “object tracking” on image processing with the video from the camera on the left rear-view mirror of the vehicle. By using object tracking algorithm, we can estimate the position, scale and orientation of the vehicle behind. However, the scale of the target can’t be estimated well when the vehicle comes close to the camera. In this study, a new tracking method is proposed to solve the above problem, it is based on the multilevel target region estimation. Besides, we use perspective transform to correct perspective crop and use automatic target selection to let the anti-collision detection method automatically run. The experimental results demonstrate the effectiveness of the proposed method.
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Ertoprak, Aysegul. "Lifetime Measurements of Excited States in the Semi-Magic Nucleus 94Ru." Licentiate thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217356.
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Lifetimes of highly excited states in the semi-magic (N=50) nucleus 94Ru were deduced from an analysis of the Doppler broadened transition line shapes. Excited states in 94Ru were populated in the 58Ni(40Ca, 4p)94Ru∗ fusion-evaporation reaction at the Grand Accélérateur National d’Ions Lourds (GANIL) accelerator complex situated in Caen, France. Doppler Shift Attenuation Method (DSAM) lifetime analysis was performed on the Doppler broadened peaks in energy spectra from γ-rays emitted while the residual nuclei were slowing down in a thick 6 mg/cm2 metallic 58Ni target. In total eight excited-state lifetimes in the angular momentum range I = (13 − 20)ħ have been measured, five of which were determined for the first time. The deduced corresponding B(M1) and B(E2) reduced transition strengths are discussed within the framework of large-scale shell model calculations.Livstider för exciterade tillstånd i den semimagiska (N = 50) atomkärnan 94Ru har uppmätts från en analys av Doppler-breddade övergångslinjer. Exciterade tillstånd i 94Ru har populerats i 58Ni(40Ca, 4p)94Ru∗ fusion-evaporationsreaktioner vid partikelacceleratorn Grand Accélérateur National d’Ions Lourds (GANIL), Caen, Frankrike. Livstidsanalys utfördes med hjälp av Dopplerskiftsattenueringsmetoden (DSAM) på linjer i energispektra uppmätta från gammastrålning som emitterades medan de högt exciterade atomkärnorna bromsades ned i ett homogent metalliskt strålmål av 6 mg/cm2 tjocklek. Mätmetoden har verifierats med hjälp av data från en mätning utförd med en alternativ metod. Livstider för sammanlagt åtta exciterade tillstånd i spinn-intervallet I = (13 − 20)ħ har uppmätts, varav fem bestämdes för första gången. Ur dessa har härletts B(M1) och B(E2) övergångssannolikheter vilka diskuteras inom ramen för storskaliga skalmodellsberäkningar.
QC 20171110
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Ritschel, Tina [Verfasser]. "TGT - a drug target to study pKa shifts, residual solvation & protein-protein interface formation / vorgelegt von Tina Ritschel." 2009. http://d-nb.info/999822365/34.
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Ademi, Irsa. "The Nickel-responsive Binding and Regulation of Two Novel Helicobacter pylori NikR–targeted Genes." Thesis, 2013. http://hdl.handle.net/1807/35577.
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Nickel is an essential transition metal for the virulence and survival of Helicobacter pylori in the acidic human stomach. The nickel– and proton– dependent transcriptional regulator HpNikR is important for maintaining nickel homeostasis inside the cytosol by regulating multiple H. pylori genes. A previous ChIP-sequencing experiment with H. pylori G27 and HpNikR identified two novel genes currently annotated as putative iron-transporters, HpG27_866 and HpG27_1499. In vitro DNA-binding assays with the promoter sequences of the two genes revealed nickel-dependent HpNikR binding with an affinity of ~10-7 M. The recognition site of HpNikR was identified on HpG27_1499 by footprinting assays, which loosely correlates with the HpNikR pseudo-consensus sequence. Furthermore, HpG27_1499 transcription showed nickel-dependent repression in WT H. pylori, and no changes in an isogenic ΔnikR strain. These data suggest that HpG27_1499 could be a nickel importer that is regulated by HpNikR in a nickel-responsive manner.
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DVOŘÁKOVÁ, Eliška. "Geodetická sledování prostorových polohových změn rekultivovaných svahů pohornické krajiny." Master's thesis, 2009. http://www.nusl.cz/ntk/nusl-51273.
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The project is about the evaluation of 2 stage measurements in local coordinate net Rabenov which were done in 2007. This local coordinate net was set for monitoring of slope shifts at the former mining area near Ústí nad Labem. In concrete terms in south - eastern part of Chabařovice mine. For terrestrial measurements were used total stations Leica TC 1700 and 1800 and GPS measurement on the basis of GPS surveying system Trimble 5700. The achieved values - horizontal angles, oblique distance, and zenithal angles were reduced onto joins of stabilization marks. From these reduced values the coordinates of standpoints were computed by evaluation of three-dimensional net. These determined coordinates were compared with the zero stage of measurement and deviations were computed. Each computation was done by geodetic computer software Rocinante. Next task was the testing of the different types of reflecting targets.