Relevant bibliographies by topics / Fitting technique

Academic literature on the topic 'Fitting technique'

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Published: 14 March 2023

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Journal articles on the topic "Fitting technique"

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Itou, Masaki. "Technique Inheritance of Machinery Fitting Design." Journal of The Japan Institute of Marine Engineering 41, no. 6 (2006): 811–14. http://dx.doi.org/10.5988/jime.41.6_811.

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Susan W, Samwel, Liang Zhipeng, Hanna Yousry S, Roman Adel T, Han Xingwei, and Ibrahim Makram. "Changchun SLR data analysis using different techniques." Annals of Mathematics and Physics 5, no. 2 (July 7, 2022): 074–80. http://dx.doi.org/10.17352/amp.000042.

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The aim of the present study is to investigate three different techniques for fitting the SLR data observed from the Changchun observatory in China which is characterized by its huge amount of data points and to examine which of the three techniques is more proper for fitting such kind of data. The first technique is the interpolation using the Chebyshev polynomial for fitting the total number of satellite laser ranging (SLR) data points. The second technique is the spline technique which is used for matching continuous intervals for fitting the SLR data. The third technique is the method, which is used at Changchun observatory, known as the Iterative 4th order polynomial fit. The three techniques are applied to 100 samples; 50 samples for the satellite LAGEOS I and the other 50 samples for the satellite Starlette that were observed during the first quarter of 2018. From the obtained results, it is found that the first two techniques, namely the Chebyshev polynomial and Spline techniques provide better standard deviation in comparison to the Iterative 4th order polynomial fit technique that is used at Changchun observatory, with merit to Spline technique over the Chebyshev polynomial.
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IMAMURA, Junya, and Takahiko TANAHASHI. "626 Adaptive Shape Fitting Technique for Voxel." Proceedings of the JSME annual meeting 2005.1 (2005): 77–78. http://dx.doi.org/10.1299/jsmemecjo.2005.1.0_77.

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Fonseca da Silva, M., Pedro M. Ramos, and A. Cruz Serra. "A new four parameter sine fitting technique." Measurement 35, no. 2 (March 2004): 131–37. http://dx.doi.org/10.1016/j.measurement.2003.08.006.

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Benner, D. Chris, Curtis P. Rinsland, V. Malathy Devi, Mary Ann H. Smith, and David Atkins. "A multispectrum nonlinear least squares fitting technique." Journal of Quantitative Spectroscopy and Radiative Transfer 53, no. 6 (June 1995): 705–21. http://dx.doi.org/10.1016/0022-4073(95)00015-d.

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Liang, Yabin, Qian Feng, Dongsheng Li, and Sijia Cai. "Loosening Monitoring of a Threaded Pipe Connection Using the Electro-Mechanical Impedance Technique—Experimental and Numerical Studies." Sensors 18, no. 11 (October 30, 2018): 3699. http://dx.doi.org/10.3390/s18113699.

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Threaded connections are the most common pipe fittings used in oil and gas transportation systems. Due to external vibrations, cyclic loads, and pollution, the fitting parts may start getting loose, which could result in pipeline leaks and other environmental disasters. It is of great significance to develop a reliable technique that could provide real-time monitoring of the looseness of pipeline fittings. In this paper, a piezoceramic-based active sensing method combined with the electro-mechanical impedance (EMI) technique was developed to monitor the health condition of threaded pipe connections in real time. Two pipe segments coupled with a threaded coupling fitting were assembled in the laboratory, and a lead zirconate titanate (PZT) patch was surface bonded onto the coupling part. In the experiment, the PZT impedance signatures were measured at each simulated loosening condition. A root-mean-square deviation (RMSD) method was employed to build a looseness index from the measured impedance signatures. To verify the effectiveness of the developed EMI technique, the experimental results were compared with those computed from a numerical simulation. The good agreement from experimental and numerical results highlights that the developed piezoceramic-based EMI technique has great potential for determining early looseness, as well as for monitoring the health status of the pipeline fitting during its service life.
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Ibrahim, Amr, Adriana Predoi-Cross, and Chad Povey. "Handling techniques for channel spectra in synchrotron-based Fourier transform spectra." Canadian Journal of Physics 91, no. 11 (November 2013): 910–23. http://dx.doi.org/10.1139/cjp-2013-0050.

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Recently, the high radiance of synchrotron sources has been used to enhance FTIR spectrometer performance. However, excessive channel spectra when synchrotron sources are used degrade the quality of retrieved spectral parameters. We have investigated seven different techniques for handling channel spectra. These techniques were used to reduce channel spectra for a test group of seven samples of CO2 mixed with air recorded using the synchrotron source at the Canadian Light Source. The increases in signal to noise ratio (SNR) of spectra handled with each technique were calculated. SNR results showed that transmission spectra, produced using synthetic background spectra with simulated channel spectra, achieved the highest SNR improvement. However, when the spectra groups were fitted using a nonlinear least square fit algorithm, the technique using channel spectra fitting produced the smallest fitting residual. Moreover, the retrieved intensities and air broadening coefficients of 21 spectral lines showed that the spectral fitting technique produced the most accurate values as compared to the HITRAN 2008 database (Rothman et al. J. Quant. Spectrosc. Radiat. Transfer, 110, 533 (2009)). Although the spectral fitting technique was accurate in retrieving spectral line parameters, applying the technique at wider spectral ranges reduced this accuracy.
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Mondol, S. I. M. M. Raton, Hyun Ji Kim, Kyu Sung Kim, and Sangmin Lee. "Machine Learning-Based Hearing Aid Fitting Personalization Using Clinical Fitting Data." Journal of Healthcare Engineering 2022 (October 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/1667672.

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The initial software fitting prescribed by the fitting formula largely depends on the patient’s hearing loss, which may not be the optimal preference for a particular user. Certain criteria must also be readjusted by an audiologist to meet the user-specific requirements. Therefore, this study focuses on the novel application of a neural network (NN) technique to build a suitable fitting algorithm with prescribed hearing loss and the corresponding preferred gain to minimize the gap between optimized fittings. The algorithm intended to learn the hearing preferences of an individual user such that the initial fitting may be optimized. These findings demonstrate the efficiency of the algorithm, with and without additional features. Using the clinical fitting data, the average mean square error (MSE) for the simple NN algorithm was 5.4183%. By adding additional features to the data, the algorithm performed better, and the average MSE was as low as 5.2530%. However, the algorithm outperformed Company A fitting software, as the MSE was the highest at 5.4748%. As the company’s automatic fitting has a noticeable discrepancy with clinical fitting records, the impeccable results from this study can lead to a better path towards fitting satisfaction, thus benefiting the hearing-impaired community to a larger extent.
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Ferranti, Francesco, Yves Rolain, Koen Vandermot, Luc Knockaert, and Tom Dhaene. "A Multivariate Orthonormal Vector Fitting based estimation technique." IFAC Proceedings Volumes 42, no. 10 (2009): 1632–37. http://dx.doi.org/10.3182/20090706-3-fr-2004.00271.

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Dilanian, Ruben A., Sophie R. Williams, Andrew V. Martin, Victor A. Streltsov, and Harry M. Quiney. "Whole-pattern fitting technique in serial femtosecond nanocrystallography." IUCrJ 3, no. 2 (February 12, 2016): 127–38. http://dx.doi.org/10.1107/s2052252516001238.

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Serial femtosecond X-ray crystallography (SFX) has created new opportunities in the field of structural analysis of protein nanocrystals. The intensity and timescale characteristics of the X-ray free-electron laser sources used in SFX experiments necessitate the analysis of a large collection of individual crystals of variable shape and quality to ultimately solve a single, average crystal structure. Ensembles of crystals are commonly encountered in powder diffraction, but serial crystallography is different because each crystal is measured individually and can be orientedviaindexing and merged into a three-dimensional data set, as is done for conventional crystallography data. In this way, serial femtosecond crystallography data lie in between conventional crystallography data and powder diffraction data, sharing features of both. The extremely small sizes of nanocrystals, as well as the possible imperfections of their crystallite structure, significantly affect the diffraction pattern and raise the question of how best to extract accurate structure-factor moduli from serial crystallography data. Here it is demonstrated that whole-pattern fitting techniques established for one-dimensional powder diffraction analysis can be feasibly extended to higher dimensions for the analysis of merged SFX diffraction data. It is shown that for very small crystals, whole-pattern fitting methods are more accurate than Monte Carlo integration methods that are currently used.
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Dissertations / Theses on the topic "Fitting technique"

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Ferreira, Ronaldo da Silva. "Interpretation of pressuremeter tests using a curve fitting technique." reponame:Repositório Institucional da UFSC, 1992. https://repositorio.ufsc.br/handle/123456789/111234.

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De, Wet Pierre. "Powered addition as modelling technique for flow processes." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4166.

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Thesis (MSc (Applied Mathematics))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: The interpretation – and compilation of predictive equations to represent the general trend – of collected data is aided immensely by its graphical representation. Whilst, by and large, predictive equations are more accurate and convenient for use in applications than graphs, the latter is often preferable since it visually illustrates deviations in the data, thereby giving an indication of reliability and the range of validity of the equation. Combination of these two tools – a graph for demonstration and an equation for use – is desirable to ensure optimal understanding. Often, however, the functional dependencies of the dependent variable are only known for large and small values of the independent variable; solutions for intermediate quantities being obscure for various reasons (e.g. narrow band within which the transition from one regime to the other occurs, inadequate knowledge of the physics in this area, etc.). The limiting solutions may be regarded as asymptotic and the powered addition to a power, s, of such asymptotes, f0 and f¥ , leads to a single correlating equation that is applicable over the entire domain of the dependent variable. This procedure circumvents the introduction of ad hoc curve fitting measures for the different regions and subsequent, unwanted jumps in piecewise fitted correlative equations for the dependent variable(s). Approaches to successfully implement the technique for different combinations of asymptotic conditions are discussed. The aforementioned method of powered addition is applied to experimental data and the semblances and discrepancies with literature and analytical models are discussed; the underlying motivation being the aspiration towards establishing a sound modelling framework for analytical and computational predictive measures. The purported procedure is revealed to be highly useful in the summarising and interpretation of experimental data in an elegant and simplistic manner.
AFRIKAANSE OPSOMMING: Die interpretasie – en samestelling van vergelykings om die algemene tendens voor te stel – van versamelde data word onoorsienbaar bygestaan deur die grafiese voorstelling daarvan. Ten spyte daarvan dat vergelykings meer akkuraat en geskik is vir die gebruik in toepassings as grafieke, is laasgenoemde dikwels verskieslik aangesien dit afwykings in die data visueel illustreer en sodoende ’n aanduiding van die betroubaarheid en omvang van geldigheid van die vergelyking bied. ’n Kombinasie van hierdie twee instrumente – ’n grafiek vir demonstrasie en ’n vergelyking vir aanwending – is wenslik om optimale begrip te verseker. Die funksionele afhanklikheid van die afhanklike veranderlike is egter dikwels slegs bekend vir groot en klein waardes van die onafhanklike veranderlike; die oplossings by intermediêre hoeveelhede onduidelik as gevolg van verskeie redes (waaronder, bv. ’n smal band van waardes waarbinne die oorgang tussen prosesse plaasvind, onvoldoende kennis van die fisika in hierdie area, ens.). Beperkende oplossings / vergelykings kan as asimptote beskou word en magsaddisie tot ’n mag, s, van sodanige asimptote, f0 en f¥, lei tot ’n enkel, saamgestelde oplossing wat toepaslik is oor die algehele domein van die onafhanklike veranderlike. Dié prosedure voorkom die instelling van ad hoc passingstegnieke vir die verskillende gebiede en die gevolglike ongewensde spronge in stuksgewyspassende vergelykings van die afhankilke veranderlike(s). Na aanleiding van die moontlike kombinasies van asimptotiese toestande word verskillende benaderings vir die suksesvolle toepassing van hierdie tegniek bespreek. Die bogemelde metode van magsaddisie word toegepas op eksperimentele data en die ooreenkomste en verskille met literatuur en analitiese modelle bespreek; die onderliggend motivering ’n strewe na die daarstelling van ’n modellerings-raamwerk vir analitiese- en rekenaarvoorspellingsmaatreëls. Die voorgestelde prosedure word aangetoon om, op ’n elegante en eenvoudige wyse, hoogs bruikbaar te wees vir die lesing en interpretasie van eksperimentele data.
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Adjei, Seth Akonor. "Refining Learning Maps with Data Fitting Techniques." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/178.

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Learning maps have been used to represent student knowledge for many years. These maps are usually hand made by experts in a given domain. However, these hand-made maps have not been found to be predictive of student performance. Several methods have been proposed to find bet-ter fitting learning maps. These methods include the Learning Factors Analysis (LFA) model and the Rule-space method. In this thesis we report on the application of one of the proposed operations in the LFA method to a small section of a skill graph and develop a greedy search algorithm for finding better fitting models for this graph. Additionally an investigation of the factors that influence the search for better data fitting models using the proposed algorithm is reported. We also present an empirical study in which PLACEments, an adaptive testing system that employs a skill graph, is modified to test the strength of prerequisite skill links in a given learning map and propose a method for refining learning maps based on those findings. It was found that the proposed greedy search algorithm performs as well as an original skill graph but with a smaller set of skills in the graph. Additionally it was found that, among other factors, the number of unnecessary skills, the number of items in the graph, and the guess and slip rates of the items tagged with skills in the graph have an impact on the search. Further, the size of the evaluation data set impacts the search. The more data there is for the search, the more predictive the learned skill graph. Additionally, PLACEments, an adaptive testing feature of ASSISTments, has been found to be useful for refining skill graphs by detecting the strengths of prerequisite links between skills in a graph.
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Assun??o, Joaquim Vinicius Carvalho. "Fitting techniques to knowledge discovery through stochastic models." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/7179.

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Modelos estoc?sticos podem ser ?teis para representar de maneira compacta cen?rios n?o determin?sticos. Al?m disso, simula??es aplicadas em um modelo compacto s?o mais r?pidas e demandam menos recursos computacionais do que t?cnicas de minera??o em grandes volumes de dados. O desafio est? na constru??o desses modelos. A acur?cia, juntamente com tempo e a quantidade de recursos usados para ajustar um modelo s?o fatores chave para sua utilidade. Tratamos aqui de t?cnicas de aprendizado de m?quina para ajustes de estruturas com a propriedade de Markov; especialmente formalismos complexos como Modelos Ocultos de Markov (HMM) e Redes de Automatos Estoc?sticos (SAN). Quanto a acur?cia, levamos em considera??o as atuais t?cnicas de ajuste, e medidas baseadas em verossimilhan?a. Quanto ao tempo de cria??o, automatizamos o processo de mapeamento de dados via s?ries temporais e t?cnicas de representa??o. Quanto aos recursos computacionais, usamos s?ries temporais e t?cnicas de redu??o de dimensionalidade, evitando assim, problemas com a explos?o do espa?o de estados. Tais t?cnicas s?o demonstradas em um processo que incorpora uma s?rie de passos comuns para o ajuste de modelos com s?ries temporais. Algo semelhante ao que o processo de descoberta de conhecimento em banco de dados (KDD) faz; por?m, tendo como componente principal, modelos estoc?sticos.
Stochastic models might be useful for creating compact representations of non-deterministic scenarios. Furthermore, simulations applied to a compact model, are faster and require fewer computational resources than the use of data mining techniques over large volumes of data. The challenge is to build such models. The accuracy as well as the time and the amount of resources used to fit such models, are the key factors related to their utility. We use machine learning techniques for the fitting of structures characterized by a Markov property; especially, complex formalisms such as Hidden Markov Models (HMM) and Stochastic Automata Networks (SAN). Regarding the accuracy, we considered the state of the art on fitting techniques and model measurements based on likelihood. Regarding the computational resources, we used time series and dimensionality reduction techniques to avoid the space state explosion. Such techniques are demonstrated in a process that embodies a set of common steps for the model fitting through time series. Similar to the knowledge discovery in databases (KDD), yet using stochastic models as a main component.
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LeMay, Valerie. "Comparison of fitting techniques for systems of forestry equations." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29137.

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In order to describe forestry problems, a system of equations is commonly used. The chosen system may be simultaneous, in that a variable which appears on the left hand side of an equation also appears on the right hand side of another equation in the system. Also, the error terms among equations of the system may be contemporaneously correlated, and error terms within individual equations may be non-iid in that they may be dependent (serially correlated) or not identically distributed (heteroskedastic) or both. Ideally, the fitting technique used to fit systems of equations should be simple; estimates of coefficients and their associated variances should be unbiased, or at least consistent, and efficient: small and large sample properties of the estimates should be known; and logical compatibility should be present in the fitted system. The first objective of this research was to find a fitting technique from the literature which meets the desired criteria for simultaneous, contemporaneously correlated systems of equations, in which the error terms for individual equations are non-iid. This objective was not met in that no technique was found in the literature which satisfies the desired criteria for a system of equations with this error structure. However, information from the literature was used to derive a new fitting technique as part of this research project, and labelled multistage least squares (MSLS). The MSLS technique is an extension of three stage least squares from econometrics research, and can be used to find consistent and asymptotically efficient estimates of coefficients, and confidence limits can also be calculated for large sample sizes. For small sample sizes, an iterative routine labelled iterated multistage least squares (IMSLS) was derived. The second objective was to compare this technique to the commonly used techniques of using ordinary least squares (simple or multiple linear regression and nonlinear least squares regresion), and of substituting all of the equations into a composite model and using ordinary least squares to fit the composite model. The three techniques were applied to three forestry problems for which a system of equations is used. The criteria for comparing the results included comparing goodness-of-fit measures (Fit Index, Mean Absolute Deviation, Mean Deviation), comparing the traces of the estimated coefficient co variance matrices, and calculating a summed rank, based on the presence or absence of desired properties of the estimates. The comparison indicated that OLS results in the best goodness-of-fit measures for all three forestry- problems; however, estimates of coefficients are biased and inconsistent for simultaneous systems. Also, the estimated coefficient covariance matrix cannot be used to calculate confidence intervals for the true parameters, or to test hypothesis statements. Finally, compatibility among equations is not assured. The fit of the composite model was attractive for the systems tested; however, only one left hand side variable was estimated, and, for larger systems with more variables and more equations, this technique may not be appropriate. The MSLS technique resulted in goodness-of-fit measures which were close to the OLS goodness-of-fit measures. Of most importance, however, is that the MSLS fit ensures compatibility among equations, estimates of coefficients and their variances are consistent, estimates are asymptotically efficient, and confidence limits can be calculated for large sample sizes using the estimated variances and probabilities from the normal distribution. Also, the number and difficulty of steps required for the MSLS technique were similar to the OLS fit of individual equations. The main disadvantage to using the MSLS technique is that a large amount of computer memory is required; for some forestry problems with very large sample sizes, the use of a subsample or the exclusion of the final step of the MSLS fit were suggested. This would result in some loss of efficiency, but estimated coefficients and their variances would be consistent.
Forestry, Faculty of
Graduate
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Hooli, Santosh. "Development of FPGA based low-power digital pulse height fitting." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4963.

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Thesis (M.S.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xi, 248 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 90-93).
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Voisin, Sophie. "3D model acquisition, segmentation and reconstruction using primitive fitting." Dijon, 2008. http://www.theses.fr/2008DIJOS056.

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La rétro-conception d'un objet 3D consiste à retrouver les parties principales, ou primitives, qui reconstruisent au mieux le nuage de points qui le décrit. Le succès du processus de reconstruction étant grandement influencé par les erreurs engendrées le long de la chaîne de rétro-conception, nous nous sommes intéressés à améliorer deux des étapes du procédé. Dans un premier temps, afin de minimiser les erreurs liées à l’acquisition du nuage de point au moyen d'un scanneur à projection de lumière structurée, nous présentons une méthode permettant de choisir les conditions optimales d’éclairage et les couleurs les plus adaptées pour l'apparence de l'objet en fonction des possibilités du scanneur utilisé. Puis, afin d’obtenir une représentation plus abstraite de l’objet tout en gardant une certaine précision et réalité des parties le composant, nous présentons des méthodes entrant dans le cadre de la représentation du modèle via les étapes de reconstruction et de segmentation. L’originalité de ces méthodes est l’utilisation des algorithmes génétiques permettant la représentation du modèle au moyen de primitives, dans notre cas des superquadriques ou des supershapes. Les particularités de ces méthodes résident dans la flexibilité apportée par les algorithmes génétiques dans le mécanisme de résolution des problèmes d’optimisation qui ne dépend pas de l’initialisation du processus, et dans possibilités de la représentation par supershapes permettant la reconstruction d’objets de formes très complexes. En dépit de temps de calcul relativement importants, les résultats obtenus montrent de bonnes performances en termes de reconstruction et de segmentation d’objets ou de scènes
The reverse engineering of a 3D object consists to identify the main parts or primitives, which best reconstruct its 3D point cloud. Because the success of the reconstruction process is greatly influenced by the errors generated along the reverse engineering chain, we focus our research on improving two phases of the process. Firstly, in order to minimize the point cloud acquisition errors associated with the use of a structured light projection scanner, we present a method to select the best illumination source and the best object appearance colors depending on the characteristics of the scanner used. Secondly, in order to obtain a simplified representation of the object while maintaining accuracy and realistic representation, we present novel 3D reconstruction and segmentation methods. The originality of these methods is the use of genetic algorithms to obtain the representation of the model using primitives, in our case using superquadriques or supershapes. The particularities of these methods lie in the flexibility provided by the genetic algorithms in solving optimization problems since they do not depend on the initialization process, and lie on the capabilities of the supershapes representation allowing to reconstruct very complex 3D shapes. Despite computing time relatively expensive, we present good performance results in terms of reconstruction and segmentation of objects and/or scenes
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Mouat, Cameron Thomas. "Fast algorithms and preconditioning techniques for fitting radial basis functions." Thesis, University of Canterbury. Mathematics and Statistics, 2001. http://hdl.handle.net/10092/5598.

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Radial basis functions are excellent interpolators for scattered data in Rd. Previously the use of RBFs had been restricted to small or medium sized data sets due to the high computational cost of solving the interpolation equations when using global basic functions. The construction of fast multipole methods, which reduce the cost of finding a matrix-vector product to O(N log N) or O(N) operations, has created the opportunity to dramatically reduce the cost of solving RBF equations. This thesis presents preconditioners which in conjunction with matrix iterative methods reduce the cost of solving these systems from O(N3) operations to O(N log N) operations. The usual formulation of the radial basis function interpolation equations are generally badly conditioned for large N. Thus the accuracy of the solution is less certain. However, it is not the problem that is badly conditioned but instead the basis built from the Φ functions. Preconditioners in this thesis improve the conditioning of the system by converting to a better basis.
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Balakrishnan, Purnima Parvathy. "Studies of optimal track-fitting techniques for the DarkLight experiment." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83813.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 49).
The DarkLight experiment is searching for a dark force carrier, the A' boson, and hopes to measure its mass with a resolution of approximately 1 MeV/c 2 . This mass calculation requires precise reconstruction to turn data, in the form of hits within the detector, into a particle track with known initial momentum. This thesis investigates the appropriateness of the Billoir optimal fit to reconstruct helical, low-energy lepton tracks while accounting for multiple scattering, using two separate track parameterizations. The first method approximates the track as a piecewise concatenation of parabolas in three-dimensions, and (wrongly) assumes that the y and z components of the track are independent. When tested using simulated data, this returns a track which geometrically fits the data. However, the momentum extracted from this geometrical representation is an order of magnitude higher than the true momentum of the track. The second method approximates the track as a piecewise concatenation of helical segments. This returns a track which geometrically fits the data even better than the parabolic parameterization, but which returns a momentum which depends on the seeds to the algorithm. Some further work must be done to modify this fitting method so that it will reliably reconstruct tracks.
by Purnima Parvathy Balakrishnan.
S.B.
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Babu, Prabhu. "Spectral Analysis of Nonuniformly Sampled Data and Applications." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180391.

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Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most important steps in signal processing and they are found in almost all of the modern day hardware. In most of the signal processing hardware, the signal of interest is sampled at uniform intervals satisfying some conditions like Nyquist rate. However, in some cases the privilege of having uniformly sampled data is lost due to some constraints on the hardware resources. In this thesis an important problem of signal reconstruction and spectral analysis from nonuniformly sampled data is addressed and a variety of methods are presented. The proposed methods are tested via numerical experiments on both artificial and real-life data sets. The thesis starts with a brief review of methods available in the literature for signal reconstruction and spectral analysis from non uniformly sampled data. The methods discussed in the thesis are classified into two broad categories - dense and sparse methods, the classification is based on the kind of spectra for which they are applicable. Under dense spectral methods the main contribution of the thesis is a non-parametric approach named LIMES, which recovers the smooth spectrum from non uniformly sampled data. Apart from recovering the spectrum, LIMES also gives an estimate of the covariance matrix. Under sparse methods the two main contributions are methods named SPICE and LIKES - both of them are user parameter free sparse estimation methods applicable for line spectral estimation. The other important contributions are extensions of SPICE and LIKES to multivariate time series and array processing models, and a solution to the grid selection problem in sparse estimation of spectral-line parameters. The third and final part of the thesis contains applications of the methods discussed in the thesis to the problem of radial velocity data analysis for exoplanet detection. Apart from the exoplanet application, an application based on Sudoku, which is related to sparse parameter estimation, is also discussed.
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Books on the topic "Fitting technique"

1

Baroudi, Djebar. Piecewise least squares fitting technique using finite interval method with Hermite polynomials. Espoo: Technical Research Centre of Finland, 1993.

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Ahuja, J. K. Numerical simulation of shock-induced combustion past blunt bodies using shock-fitting technique. Washington, D. C: American Institute of Aeronautics and Astronautiacs, 1994.

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editor, Butcher Ken, ed. Variable flow pipework systems: Valve solutions, supplement to CIBSE knowledge series KS7. London: Chartered Institution Of Building Services Engineers, 2009.

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J, Singh D., Tiwari S. N, and United States. National Aeronautics and Space Administration., eds. Numerical simulation of shock-induced combustion past blunt bodies using shock-fitting technique: Progress report for the period ended June 30, 1994. Norfolk, Va: Old Dominion University Research Foundation, 1994.

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Sandra, Lenker, Gaughan Phoebe, and Moore Helen, eds. Vogue fitting: The book of fitting techniques, adjustments, and alterations. New York: Harper & Row, 1987.

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McInerney, Timothy John. Finite element techniques for fitting deformable models to 3D data. Toronto: University of Toronto, Dept. of Computer Science, 1992.

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McInerney, Timothy John. Finite element techniques for fitting deformable models to 3D data. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Woodson, R. Dodge. International fuel gas code companion: Interpretation, tactics, and techniques. New York: Mcgraw-Hill, 2008.

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Architectural design: Integration of structural and environmental systems. New York: Van Nostrand Reinhold, 1991.

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Numerical simulation of shock-induced combustion past blunt bodies using shock-fitting technique: Progress report for the period ended June 30, 1994. Norfolk, Va: Old Dominion University Research Foundation, 1994.

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Book chapters on the topic "Fitting technique"

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Kühtreiber, Norbert, and Hussein Abd-Elmotaal. "Towards an Alternative Geoid Fitting Technique." In International Association of Geodesy Symposia, 391–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/1345_2015_94.

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Laurenczy, Csaba, Damien Berlie, and Jacques Jacot. "Ultrasonic Press–Fitting: A New Assembly Technique." In Lecture Notes in Computer Science, 22–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45586-9_4.

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Wan, Yan, Da Lu, and Xiaohua Wang. "Real-Time Virtual Fitting Technique Based on Kinect." In Advances in Intelligent Systems and Computing, 607–16. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8944-2_70.

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Zolfagharnasab, Hooshiar, Jaime S. Cardoso, and Hélder P. Oliveira. "Fitting of Breast Data Using Free Form Deformation Technique." In Lecture Notes in Computer Science, 608–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41501-7_68.

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Bonfiglioli, Aldo, Renato Paciorri, Lorenzo Campoli, Valentina De Amicis, and Marcello Onofri. "Development of an Unsteady Shock-Fitting Technique for Unstructured Grids." In 30th International Symposium on Shock Waves 2, 1501–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44866-4_124.

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Balona, Luis A. "Mode Identification from Line Profiles Using the Direct Fitting Technique." In Asteroseismology Across the HR Diagram, 121–24. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0799-2_16.

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Onofri, Marcello, Francesco Nasuti, Renato Paciorri, and Aldo Bonfiglioli. "The Shock Fitting Technique from Gino Moretti Towards the Future." In 30th International Symposium on Shock Waves 1, 59–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46213-4_9.

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Toraya, Hideo. "Applications of Whole-Powder-Pattern Fitting Technique in Materials Characterization." In Advances in X-Ray Analysis, 37–47. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2528-8_6.

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Assonitis, Alessia, Renato Paciorri, and Aldo Bonfiglioli. "Numerical Simulation of Shock Boundary Layer Interaction Using Shock Fitting Technique." In Lecture Notes in Mechanical Engineering, 124–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41057-5_10.

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Dohi, Hiroshi, and Mitsuru Ishizuka. "Automatic 3-D Facial Fitting Technique for a Second Life Avatar." In Lecture Notes in Computer Science, 227–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22024-1_25.

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Conference papers on the topic "Fitting technique"

1

Carminelli, Antonio, and Giuseppe Catania. "PB-Spline Hybrid Surface Fitting Technique." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87195.

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This work considers the fitting of data points organized in a rectangular array to parametric spline surfaces. Point Based (PB) splines, a generalization of tensor product splines, are adopted. The basic idea of this paper is to fit large scale data with a tensorial B-spline surface and to refine the surface until a specified tolerance is met. Since some isolated domains exceeding tolerance may result, detail features on these domains are modeled by a tensorial B-spline basis with a finer resolution, superimposed by employing the PB-spline approach. The present method leads to an efficient model of free form surfaces, since both large scale data and local geometrical details can be efficiently fitted. Two application examples are presented. The first one concerns the fitting of a set of data points sampled from an interior car trim with a central geometrical detail. The second one refers to the modification of the tensorial B-spline surface representation of a mould in order to create a local adjustment. Considerations regarding strengths and limits of the approach then follow.
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Chen, Li, Donald H. Cooley, and Lan Zhang. "Intelligent data fitting technique for 3D velocity reconstruction." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers, David B. Fogel, James C. Bezdek, and Bruno Bosacchi. SPIE, 1998. http://dx.doi.org/10.1117/12.304794.

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Pei, Yanrong, Pengzhi Lu, Hua Yang, Jing Li, Junxi Wang, and Jinmin Li. "New solar spectral fitting technique based on LED." In 2015 12th China International Forum on Solid State Lighting (SSLCHINA). IEEE, 2015. http://dx.doi.org/10.1109/sslchina.2015.7360707.

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Kumar, J. R. Harish, S. Harsha, Yogish Kamath, Rajani Jampala, and Chandra Sekhar Seelamantula. "Automatic optic cup segmentation using Kåsa's circle fitting technique." In TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8227830.

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Sarankumar, B., and L. T. Ong. "Phase offset estimation using least squares ellipse fitting technique." In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2013. http://dx.doi.org/10.1109/icspcs.2013.6723981.

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Thacker, N. A., D. Prendergast, and P. I. Rockett. "B-Fitting: An Estimation Technique with Automatic Parameter Selection." In British Machine Vision Conference 1996. British Machine Vision Association, 1996. http://dx.doi.org/10.5244/c.10.58.

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Mohamed, Najihah, Ahmad Abd Majid, and Abd Rahni Mt Piah. "Rational quadratic Bézier curve fitting by simulated annealing technique." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801215.

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Al-Hashem, Munder, Raneen Bani Hani, Yasmeen Al-Quraan, Sundos Al-Akhras, Eman Al-Omari, Qasem Qananwah, and Ali Mohammad Alqudah. "Blood Pressure Estimation Using Optical Technique and Surface Fitting." In 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME). IEEE, 2020. http://dx.doi.org/10.1109/mecbme47393.2020.9265116.

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Bingi, Kishore, and B. Rajanarayan Prusty. "Approximation of Time-Delay Systems Using Curve Fitting Technique." In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2021. http://dx.doi.org/10.1109/i-pact52855.2021.9696965.

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Farayola, Adedayo M., Ali N. Hasan, and Ahmad Ali. "Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking." In 2017 8th International Renewable Energy Congress (IREC). IEEE, 2017. http://dx.doi.org/10.1109/irec.2017.7926047.

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Reports on the topic "Fitting technique"

1

Sutherland, H., and T. Wilson. A generalized fitting technique for the LIFE2 fatigue analysis code. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/383615.

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Champagne, C., A. Bannari, K. Staenz, J. C. Deguise, and H. McNairn. Validation of a Hyperspectral Curve-Fitting Technique for Mapping Crop Water Status. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219853.

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