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Dissertations / Theses on the topic 'Frequency-clustering'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

White, Parker Douglas. "Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/93726.

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Frequency Hopping Spread Spectrum (FHSS) signaling is used across many devices operating in both regulated and unregulated bands. In either situation, if there is a malicious device operating within these bands, or more simply a user operating out of the required specifications, the identification this user important to insure communication link integrity and interference mitigation. The identification of a user involves the grouping of that users signal transmissions, and the separation of those transmission from transmissions of other users in a shared frequency band. Traditional signal se

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2

Verousis, Thanos. "Price discreteness and clustering in ultra high frequency equity and options data." Thesis, Aberystwyth University, 2009. http://hdl.handle.net/2160/63fefd3e-0d27-4f50-b1cb-490d1d063dd2.

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There is only sparse evidence on the implications of price discreteness in empirical studies using high frequency data. This thesis deals with the issue of discreteness in irregularly spaced data, and its theme is the investigation of two important aspects of discreteness. In particular, the compass rose pattern and price clustering in the individual equity options market are primarily studied. Also, price clustering is covered in the Initial Public Offerings (IPOs) primary market and its evolution in the secondary market is documented. The first contribution of the thesis is the design of a n

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3

Telha, Cornejo Claudio (Claudio A. ). "Algorithms and hardness results for the jump number problem, the joint replenishment problem, and the optimal clustering of frequency-constrained maintenance jobs." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/70446.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 107-110).<br>In the first part of this thesis we present a new, geometric interpretation of the jump number problem on 2-dimensional 2-colorable (2D2C) partial order. We show that the jump number of a 2D2C poset is equivalent to the maximum cardinality of an independent set in a properly defined collection of rectangles in the plane. We then model the geometric problem as a linear program. Even

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4

Hanna, Peter, and Erik Swartling. "Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273630.

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For many companies in the manufacturing industry, attempts to find damages in their products is a vital process, especially during the production phase. Since applying different machine learning techniques can further aid the process of damage identification, it becomes a popular choice among companies to make use of these methods to enhance the production process even further. For some industries, damage identification can be heavily linked with anomaly detection of different measurements. In this thesis, the aim is to construct unsupervised machine learning models to identify anomalies on un

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5

Abraham, Etimbuk. "Adaptive supervisory control scheme for voltage controlled demand response in power systems." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/adaptive-supervisory-control-scheme-for-voltage-controlled-demand-response-in-power-systems(3e64537d-52c7-4eb5-87f2-b73fe920b9cb).html.

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Radical changes to present day power systems will lead to power systems with a significant penetration of renewable energy sources and smartness, expressed in an extensive utilization of novel sensors and cyber secure Information and Communication Technology. Although these renewable energy sources prove to contribute to the reduction of CO2 emissions into the environment, its high penetration affects power system dynamic performance as a result of reduced power system inertia as well as less flexibility with regards to dispatching generation to balance future demand. These pose a threat both

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6

Banerjee, Debashis. "Intelligent real-time environment and process adaptive radio frequency front-ends for ultra low power applications." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53882.

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In the thesis the design of process tolerant, use-aware radio-frequency front-ends were explored. First, the design of fuzzy logic and equation based controllers, which can adapt to multi-dimensional channel conditions, are proposed. Secondly, the thesis proves that adaptive systems can have multiple modes of operation depending upon the throughput requirements of the system. Two such modes were demonstrated: one optimizing the energy-per-bit (energy priority mode) and another achieving the lowest power consumption at the highest throughput (data priority mode). Finally, to achieve process tol

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7

Nguyen, Linh Trung. "Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15984/.

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Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular. Time-Frequency Signal Processing (TFSP) provides eective tools for analyzing nonstationary signals where the frequency content of signals varies in time as well as for analyzing linear time-varying systems. This research aimed at exploiting the advantages of TFSP, in dealing with nonstationary signals, into the fundamental issues of signal processing, namely the signal estimation and signal separation. In particular, i

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8

Nguyen, Linh-Trung. "Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15984/1/Nguyen_Linh-Trung_Thesis.pdf.

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Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular. Time-Frequency Signal Processing (TFSP) provides eective tools for analyzing nonstationary signals where the frequency content of signals varies in time as well as for analyzing linear time-varying systems. This research aimed at exploiting the advantages of TFSP, in dealing with nonstationary signals, into the fundamental issues of signal processing, namely the signal estimation and signal separation. In particular,

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Moreira, Rodrigo Bossini Tavares. "Construção do livro de ofertas a partir de dados de alta frequência e um algoritmo de predição de valores baseado em técnicas de agrupamento e regressão linear." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24072013-231212/.

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A negociação algorítmica oferece algoritmos que tomam decisões de compra e/ou venda com base em parâmetros pré-determinados, oscilações de preços no mercado, dados históricos etc. Uma vantagem oferecida por ela é a possibilidade de atuação rápida no mercado, possivelmente aproveitando as melhores ofertas disponíveis. A Bovespa disponibiliza dados referentes à troca de mensagens entre as partes que constituem o mercado nanceiro. A partir dessas mensagens, geralmente é possível fazer a construção do livro de ofertas, que contém informações referentes às ofertas de compra e venda disponíveis em d

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10

Rulewski, Stenberg Louis. "High frequency rainfall data disaggregation with a random cascade model : Identifying regional differences in hyetographs in Sweden." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-434661.

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The field of urban hydrology is in need of high temporal resolution data series in order to effectively model and analyse existing and future trends in extreme precipitation. When high resolution data sets are, for any number of reasons, not available for a given location, the technique of disaggregation using a random cascade model can be applied. Previous studies have demonstrated the relevance of random cascades in the context of rainfall data disaggregation with temporal resolutions usually down to 1 hour. In this study, an attempt at disaggregation to a resolution of 1 minute was made. Us

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11

Samaan, Nader Amin Aziz. "Reliability assessment of electrical power systems using genetic algorithms." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1054.

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The first part of this dissertation presents an innovative method for the assessment of generation system reliability. In this method, genetic algorithm (GA) is used as a search tool to truncate the probability state space and to track the most probable failure states. GA stores system states, in which there is generation deficiency to supply system maximum load, in a state array. The given load pattern is then convoluted with the state array to obtain adequacy indices. In the second part of the dissertation, a GA based method for state sampling of composite generation-transmission power sys

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12

Savoie, Lee, David K. Lowenthal, Bronis R. de Supinski, et al. "I/O Aware Power Shifting." IEEE, 2016. http://hdl.handle.net/10150/622666.

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Power limits on future high-performance computing (HPC) systems will constrain applications. However, HPC applications do not consume constant power over their lifetimes. Thus, applications assigned a fixed power bound may be forced to slow down during high-power computation phases, but may not consume their full power allocation during low-power I/O phases. This paper explores algorithms that leverage application semantics-phase frequency, duration and power needs-to shift unused power from applications in I/O phases to applications in computation phases, thus improving system-wide performanc

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13

Mohd, Yusoff Sabariah. "Clustering classification and human perception of automative steering wheel transient vibrations." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15849.

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In the 21st century, the proliferation of steer-by-wire systems has become a central issue in the automobile industry. With such systems there is often an objective to minimise vibrations on the steering wheel to increase driver comfort. Nevertheless, steering wheel vibration is also recognised as an important medium that assists drivers in judging the vehicle's subsystems dynamics as well as to indicate important information such as the presence of danger. This has led to studies of the possible role of vibrational stimuli towards informing drivers of environment conditions such as road surfa

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14

Brunner, Manuela. "Hydrogrammes synthétiques par bassin et types d'événements. Estimation, caractérisation, régionalisation et incertitude." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAU003/document.

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L'estimation de crues de projet est requise pour le dimensionnement de barrages et de bassins de rétention, de même que pour la gestion des inondations lors de l’élaboration de cartes d’aléas ou lors de la modélisation et délimitation de plaines d’inondation. Généralement, les crues de projet sont définies par leur débit de pointe à partir d’une analyse fréquentielle univariée. Cependant, lorsque le dimensionnement d’ouvrages hydrauliques ou la gestion de crues nécessitent un stockage du volume ruisselé, il est également nécessaire de connaître les caractéristiques volume, durée et forme de l’

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15

Masoudi, Pedram. "Application of hybrid uncertainty-clustering approach in pre-processing well-logs." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S023/document.

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La thèse est principalement centrée sur l'étude de la résolution verticale des diagraphies. On outre, l'arithmétique floue est appliquée aux modèles expérimentaux pétrophysiques en vue de transmettre l'incertitude des données d'entrée aux données de sortie, ici la saturation irréductible en eau et la perméabilité. Les diagraphies sont des signaux digitaux dont les données sont des mesures volumétriques. Le mécanisme d'enregistrement de ces données est modélisé par des fonctions d'appartenance floues. On a montré que la Résolution Verticale de la Fonction d'Appartenance (VRmf) est supérieur d'e

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16

Nourbakhsh, Ghavameddin. "Reliability analysis and economic equipment replacement appraisal for substation and sub-transmission systems with explicit inclusion of non-repairable failures." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/40848/1/Ghavameddin_Nourbakhsh_Thesis.pdf.

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The modern society has come to expect the electrical energy on demand, while many of the facilities in power systems are aging beyond repair and maintenance. The risk of failure is increasing with the aging equipments and can pose serious consequences for continuity of electricity supply. As the equipments used in high voltage power networks are very expensive, economically it may not be feasible to purchase and store spares in a warehouse for extended periods of time. On the other hand, there is normally a significant time before receiving equipment once it is ordered. This situation has crea

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17

Nguyen, Hai Dang. "Déploiement et ordonnancement dans Wimax avec relais : IEEE802.16j." Phd thesis, Université d'Evry-Val d'Essonne, 2011. http://tel.archives-ouvertes.fr/tel-00878774.

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Les systèmes cellulaires modiles WiMAX ont pour objectif de fournir des services multimédias à haut débit à n'importe quel moment, n'importe quel endroit avec un prix abordable. La combinaison d'orthogonale accès multiples (OFDMA) et le relais en Wimax donnent plusieurs opportunités pour des réseaux moins coûteux et plus performances. La norme Wimax 802.16j élargit non seulement la couverture de la cellule, mais aussi augmente le débit moyen des utilisateurs. Plusieurs recherches de cette norme ont été publiées afin d'optimiser la performance du réseau. Cependant, lorsque nous étudions les arc

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18

Chiang, Wei-Hsuan, and 江韋炫. "Aquifer Identification Using Time-Frequency Analysis and Clustering Method." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/36776478107654972739.

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碩士<br>國立交通大學<br>土木工程系所<br>103<br>Groundwater supplies more than one third of the water demand in Taiwan. Therefore, proper groundwater management to reduce groundwater-related disasters and mitigate the water supply shortage is an important issue. A proper groundwater management mainly relies on the understanding of hydrogeological structure. In Taiwan, the groundwater monitoring network has collected large amount of groundwater level data. The groundwater level data can reflect the pressure changes in the aquifers responding to the factors such as, precipitation, pumping, earth tide and aquif

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19

余佳鍇. "A Fast k-modes clustering algorithm considering data attributes frequency." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/69049637774709197657.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>96<br>The k-modes algorithm extends the k-means algorithm to categorical domain. It has become a very useful technique for clustering categorical data sets. To improve the clustering accuracy, in this paper we develop a new dissimilarity measure and modify the method to determine the mode in a cluster. On the other hand, we implement a fast search algorithm to speedup the computing time of the modified k-modes algorithm.

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20

Pannu, Vaishali. "Conduits of Intratumor Heterogeneity: Centrosome Amplification, Centrosome Clustering and Mitotic Frequency." 2014. http://scholarworks.gsu.edu/biology_diss/153.

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Tumor initiation and progression is dependent on the acquisition and accumulation of multiple driver mutations that activate and fuel oncogenic pathways and deactivate tumor suppressor networks. This complex continuum of non-stochastic genetic changes in accompaniment with error-prone mitoses largely explains why tumors are a mosaic of different cells. Contrary to the long-held notion that tumors are dominated by genetically-identical cells, tumors often contain many different subsets of cells that are remarkably diverse and distinct. The extent of this intratumor heterogeneity has bewildered

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21

Yang, Gene-Ping, and 楊靖平. "Speech Separation with Time-and-Frequency Cross-DomainJoint Embedding and Clustering." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7gknjc.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>107<br>The main topic of this thesis is to explore Speaker Independent Speech Separation technique, that is, to separate two or more speaker in a mixed speech without the speaker information. This is useful in many speech processing systems, including speech recognition, speaker recognition, etc. When there are two or more speakers in the audio, our goal is to separate these voices with similar characteristics. At present, deep learning method is mainly divided into two major mainstreams: the frequency domain method and the time domain method. The biggest differe

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22

Su, Hsien-Kun, and 蘇憲堃. "Investigating Image Compression in Frequency Domain for Color Pictures via Clustering Algorithms." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/54668007145483030377.

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碩士<br>嶺東科技大學<br>資訊科技應用研究所<br>99<br>This study mainly investigates the image compression for color pictures in frequency domain via clustering methods. Color images are first transformed to YCbCr color domain and segmented by some given block sizes. By performing the discrete cosine transformation (DCT) in individual block with distinct color entries, some clustering algorisms are employed to appropriately choose code books to represent and the indexed compressed images. By experiment results, the proposed method can not only descent the block effect phenomenon but also improve the PSNR (Peak S

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23

Zhang, Zhihan. "Selected results from clustering and analyzing stock market trade data." 2018. http://hdl.handle.net/2097/39297.

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Master of Science<br>Department of Statistics<br>Michael Higgins<br>The amount of data generated from stock market trading is massive. For example, roughly 10 million trades are performed each day on the NASDAQ stock exchange. A significant proportion of these trades are made by high-frequency traders. These entities make on the order of thousands or more trades a day. However, the stock-market factors that drive the decisions of high-frequency traders are poorly understood. Recently, hybridized threshold clustering (HTC) has been proposed as a way of clustering large-to-massive datasets. In t

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Yang, Yu. "Clustering-Based Simultaneous Task and Voltage Scheduling for NoC Systems." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9130.

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Network-on-Chip (NoC) is emerging as a promising communication structure, which is scalable with respect to chip complexity. Meanwhile, latest chip designs are increasingly leveraging multiple voltage-frequency domains for energy-efficiency improvement. In this work, we propose a simultaneous task and voltage scheduling algorithm for energy minimization in NoC based designs. The energy-latency tradeoff is handled by Lagrangian relaxation. The core algorithm is a clustering based approach which not only assigns voltage levels and starting time to each task (or Processing Element) but also natur

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25

"Automatic Segmentation of Single Neurons Recorded by Wide-Field Imaging Using Frequency Domain Features and Clustering Tree." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.40696.

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abstract: Recent new experiments showed that wide-field imaging at millimeter scale is capable of recording hundreds of neurons in behaving mice brain. Monitoring hundreds of individual neurons at a high frame rate provides a promising tool for discovering spatiotemporal features of large neural networks. However, processing the massive data sets is impossible without automated procedures. Thus, this thesis aims at developing a new tool to automatically segment and track individual neuron cells. The new method used in this study employs two major ideas including feature extraction based on pow

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26

Sadri, Sara. "Frequency Analysis of Droughts Using Stochastic and Soft Computing Techniques." Thesis, 2010. http://hdl.handle.net/10012/5198.

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In the Canadian Prairies recurring droughts are one of the realities which can have significant economical, environmental, and social impacts. For example, droughts in 1997 and 2001 cost over $100 million on different sectors. Drought frequency analysis is a technique for analyzing how frequently a drought event of a given magnitude may be expected to occur. In this study the state of the science related to frequency analysis of droughts is reviewed and studied. The main contributions of this thesis include development of a model in Matlab which uses the qualities of Fuzzy C-Means (FCMs) clust

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27

Masanta, Swapan Kumar. "Approaches to Regional Analysis of Hydro-Meteorological Processes and Extremes." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5895.

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Regional analysis of hydrometeorological variables (e.g., evapotranspiration, precipitation), hydrological processes (e.g., runoff), and their extremes (e.g., drought, floods) is essential for various applications. The analysis can be effective when based on homogeneous regions (groups of sites). Conventionally, hard regions are formed using a regionalization approach considering lumped (time-invariant) statistics of different hydrometeorological variables as attributes. The information on the temporal dynamics of attributes and the degree of resemblance between different sites, which could pr

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Basu, Bidroha. "A New Mathematical Framework for Regional Frequency Analysis of Floods." Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3728.

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Reliable estimates of design flood quantiles are often necessary at sparsely gauged/ungauged target locations in river basins for various applications in water resources engineering. Development of effective methods for use in this task has been a long-standing challenge in hydrology for over five decades.. Hydrologists often consider various regional flood frequency analysis (RFFA) approaches that involve (i) use of regionalization approach to delineate a homogeneous group of watersheds resembling watershed of the target location, and (ii) use of a regional frequency analysis (RFA) approach

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Basu, Bidroha. "A New Mathematical Framework for Regional Frequency Analysis of Floods." Thesis, 2015. http://etd.iisc.ernet.in/2005/3728.

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Reliable estimates of design flood quantiles are often necessary at sparsely gauged/ungauged target locations in river basins for various applications in water resources engineering. Development of effective methods for use in this task has been a long-standing challenge in hydrology for over five decades.. Hydrologists often consider various regional flood frequency analysis (RFFA) approaches that involve (i) use of regionalization approach to delineate a homogeneous group of watersheds resembling watershed of the target location, and (ii) use of a regional frequency analysis (RFA) approach

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Gomes, Ana Luísa Gonçalves Neves. "Human activity recognition with accelerometry: novel time and frequency features." Master's thesis, 2014. http://hdl.handle.net/10362/14040.

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Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models applica

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