Relevant bibliographies by topics / Analytical signal

Academic literature on the topic 'Analytical signal'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Analytical signal"

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Guers, Manton J., and Tyler P. Dare. "Signal classification with machine learning." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A268. http://dx.doi.org/10.1121/10.0011298.

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This paper investigates and evaluates several Machine Learning techniques for the proper identification and classification of analytical signals. Signals having different “shapes” and periods were defined analytically to have pre-determined class associations. Supervised Machine Learning techniques were then investigated to evaluate the Machine Learning methodology’s ability to properly classify the analytical signals based on characteristics of interest.
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Padma Priyanka, Gaddam, Mosali Geetha Priya, M. Harshali, and M. Venu Gopala Rao. "Image compression using Analytical and Learned Dictionaries." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 553. http://dx.doi.org/10.14419/ijet.v7i2.7.10881.

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The modern signal and image processing deals with large data such as images and this data deals with complex statistics and high dimensionality. Sparsity is one powerful tool used signal and image processing applications. The mainly used applications are compression and denoising. A dictionary contains information of the signals in the form of coefficients. Recently dictionary learning has emerged for efficient representation of signals. In this paper we study the image compression using both analytical and learned dictionaries. The results show that the effectiveness of learned dictionaries in the application of image compression.
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Maheswaran, A., and B. R. Davis. "Analytical signal processing for pattern recognition." IEEE Transactions on Acoustics, Speech, and Signal Processing 38, no. 9 (1990): 1645–49. http://dx.doi.org/10.1109/29.60087.

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Ibrahim, Tamer S. "Analytical approach to the MR signal." Magnetic Resonance in Medicine 54, no. 3 (2005): 677–82. http://dx.doi.org/10.1002/mrm.20600.

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Khan, Sibghatullah I., Ganjikunta Ganesh Kumar, Pandya Vyomal Naishadkumar, and Sarvade Pedda Subba Rao. "Analysis of Normal and Adventitious Lung Sound Signals Using Empirical Mode Decomposition and Central Tendency Measure." Traitement du Signal 38, no. 3 (June 30, 2021): 731–38. http://dx.doi.org/10.18280/ts.380320.

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Diagnosing chronic obstructive pulmonary disease (COPD) from lung sounds is time consuming, onerous, and subjective to the expertise of pulmonologists. The preliminary diagnosis of COPD is often based on adventitious lung sounds (ALS). This paper proposes to objectively analyze the lung sound signals associated with COPD. Specifically, empirical mode decomposition (EMD), a data adaptive signal decomposition technique suitable for analyzing non-stationary signals, was adopted to decompose non-stationary lung sound signals. The use of EMD on lung sound signal results in intrinsic mode functions (IMFs), which are symmetric and band limited. The analytic IMFs were then computed through the Hilbert transform, which reveals the instantaneous frequency content of each IMF. The Hilbert transformed signal is analytic, and has a complex representation containing real and imaginary parts. Next, the central tendency measure (CTM) was introduced to quantify the circular shape of the analytical IMF plot. The result was taken as a useful feature to distinguish normal lung sound signal with ALS. Simulation results show that the CTM of analytic IMFs has a strong ability to distinguish between normal lung sound signals and ALS.
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LIU, Hongchao, Jie ZHANG, and Dingxin CHENG. "Analytical Approach to Evaluating Transit Signal Priority." Journal of Transportation Systems Engineering and Information Technology 8, no. 2 (April 2008): 48–57. http://dx.doi.org/10.1016/s1570-6672(08)60017-3.

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van der Veen, A. J. "Analytical method for blind binary signal separation." IEEE Transactions on Signal Processing 45, no. 4 (April 1997): 1078–82. http://dx.doi.org/10.1109/78.564198.

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Teeter, D. A., J. R. East, R. K. Mains, and G. I. Haddad. "Large-signal numerical and analytical HBT models." IEEE Transactions on Electron Devices 40, no. 5 (May 1993): 837–45. http://dx.doi.org/10.1109/16.210188.

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Zitouni, Sihem, Khaled Rouabah, Djamel Chikouche, Karim Mokrani, Salim Atia, Rachid Harba, and Philippe Ravier. "General analytical models characterizing MBOC modulated signal." Aerospace Science and Technology 50 (March 2016): 112–26. http://dx.doi.org/10.1016/j.ast.2015.12.027.

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Sorbello, Alfred, Anna Ripple, Joseph Tonning, Monica Munoz, Rashedul Hasan, Thomas Ly, Henry Francis, and Olivier Bodenreider. "Harnessing scientific literature reports for pharmacovigilance." Applied Clinical Informatics 26, no. 01 (2017): 291–305. http://dx.doi.org/10.4338/aci-2016-11-ra-0188.

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Summary Objectives: We seek to develop a prototype software analytical tool to augment FDA regulatory reviewers’ capacity to harness scientific literature reports in PubMed/MEDLINE for pharmacovigilance and adverse drug event (ADE) safety signal detection. We also aim to gather feedback through usability testing to assess design, performance, and user satisfaction with the tool. Methods: A prototype, open source, web-based, software analytical tool generated statistical disproportionality data mining signal scores and dynamic visual analytics for ADE safety signal detection and management. We leveraged Medical Subject Heading (MeSH) indexing terms assigned to published citations in PubMed/MEDLINE to generate candidate drug-adverse event pairs for quantitative data mining. Six FDA regulatory reviewers participated in usability testing by employing the tool as part of their ongoing real-life pharmacovigilance activities to provide subjective feedback on its practical impact, added value, and fitness for use. Results: All usability test participants cited the tool’s ease of learning, ease of use, and generation of quantitative ADE safety signals, some of which corresponded to known established adverse drug reactions. Potential concerns included the comparability of the tool’s automated literature search relative to a manual ‘all fields’ PubMed search, missing drugs and adverse event terms, interpretation of signal scores, and integration with existing computer-based analytical tools. Conclusions: Usability testing demonstrated that this novel tool can automate the detection of ADE safety signals from published literature reports. Various mitigation strategies are described to foster improvements in design, productivity, and end user satisfaction.
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Dissertations / Theses on the topic "Analytical signal"

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Pai, Hung-Chuan. "Analytical methods for mixed signal processing systems /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487949508368344.

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Schiavi, Simona. "Homogenized and analytical models for the diffusion MRI signal." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLX083/document.

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L'imagerie par résonance magnétique de diffusion (IRMD) est une technique d'imagerie qui teste les propriétés diffusives d'un échantillon en le soumettant aux impulsions d'un gradient de champ magnétique. Plus précisément, elle détecte le mouvement de l'eau dû à la diffusion et s'avère donc être un outil puissant pour obtenir des informations sur la microstructure des tissus. Le signal acquis par le scanner IRM est une mesure moyennée sur un volume physique appelé voxel, dont la taille, pour des raisons techniques, est bien plus grande que l'échelle de variations microscopiques de la structure cellulaire. Ceci implique que les composants microscopiques des tissus ne sont pas visibles à la résolution spatiale de l'IRM et que les caractéristiques géométriques se trouvent agréger dans le signal macroscopique provenant du voxel. Une importante quantité mesurée par l'IRMD dans chaque voxel est le Coefficient de Diffusion Apparent (CDA) dont la dépendance au temps de diffusion est actée par de nombreuses expériences d'imagerie effectuées in vivo. Il existe dans la littérature un nombre important de modèles macroscopiques décrivant le CDA allant du plus simple au plus complexe (modèles phénoménologiques, stochastiques, géométriques, fondés sur des EDP, etc.), chacun étant valide sous certaines hypothèses techniques bien précises. Le but de cette thèse est de construire des modèles simples, disposant d'une bonne validité applicative, en se fondant sur une modélisation de la diffusion à l'échelle microscopique à l'aide d'EDP et de techniques d'homogénéisation.Dans un article antérieur, le modèle homogénéisé FPK a été déduit de l’EDP de Bloch-Torrey sous l'hypothèse que la perméabilité de la membrane soit petite et le temps de diffusion long. Nous effectuons tout d'abord une analyse de ce modèle et établissons sa convergence vers le modèle classique de Kärger lorsque la durée des impulsions magnétiques tend vers 0. Notre analyse montre que le modèle FPK peut être vu comme une généralisation de celui de Kärger, permettant la prise en compte de durées d'impulsions magnétiques arbitraires. Nous donnons aussi une nouvelle définition, motivée par des raisons mathématiques, du temps de diffusion pour le modèle de Kärger (celle impliquant la plus grande vitesse de convergence).Le CDA du modèle FPK est indépendant du temps ce qui entre en contradiction avec nombreuses observations expérimentales. Par conséquent, notre objectif suivant est de corriger ce modèle pour de petites valeurs de ce que l'on appelle des b-valeurs afin que le CDA homogénéisé qui en résulte soit sensible à la fois à la durée des impulsions et à la fois au temps de diffusion. Pour atteindre cet objectif, nous utilisons une technique d'homogénéisation similaire à celle utilisée pour le FPK, tout en proposant un redimensionnement adapté de l'échelle de temps et de l'intensité du gradient pour la gamme de b-valeurs considérées. Nous montrons, à l'aide de simulations numériques, l'excellente qualité de l'approximation du signal IRMD par ce nouveau modèle asymptotique pour de faibles b-valeurs. Nous établissons aussi (grâce à des développements en temps court des potentiels de surface associés à l'équation de la chaleur ou grâce à une décomposition de sa solution selon les fonctions propres) des résultats analytiques d'approximation du modèle asymptotique qui fournissent des formules explicites de la dépendance temporelle du CDA. Nos résultats sont en accord avec les résultats classiques présents dans la littérature et nous améliorons certains d'entre eux grâce à la prise en compte de la durée des impulsions. Enfin nous étudions le problème inverse consistant en la détermination d'information qualitative se rapportant à la fraction volumique des cellules à partir de signaux IRMD mesurés. Si trouver la distribution de sphères semble possible à partir de la mesure du signal IRMD complet, il nous est apparu que la mesure du seul CDA ne serait pas suffisante
Diffusion magnetic resonance imaging (dMRI) is an imaging modality that probes the diffusion characteristics of a sample via the application of magnetic field gradient pulses. More specifically, it encodes water displacement due to diffusion and is then a powerful tool to obtain information on the tissue microstructure. The signal measured by the MRI scanner is a mean-value measurement in a physical volume, called a voxel, whose size, due to technical reasons, is much larger than the scale of the microscopic variations of the cellular structure. It follows that the microscopic components of the tissues are not visible at the spatial resolution of dMRI. Rather, their geometric features are aggregated into the macroscopic signal coming from the voxels. An important quantity measured in dMRI in each voxel is the Apparent Diffusion Coefficient (ADC) and it is well-established from imaging experiments that, in the brain, in-vivo, the ADC is dependent on the diffusion time. There is a large variety (phenomenological, probabilistic, geometrical, PDE based model, etc.) of macroscopic models for ADC in the literature, ranging from simple to complicated. Indeed, each of these models is valid under a certain set of assumptions. The goal of this thesis is to derive simple (but sufficiently sound for applications) models starting from fine PDE modelling of diffusion at microscopic scale using homogenization techniques.In a previous work, the homogenized FPK model was derived starting from the Bloch-Torrey PDE equation under the assumption that membrane's permeability is small and diffusion time is large. We first analyse this model and establish a convergence result to the well known K{"a}rger model as the magnetic pulse duration goes to 0. In that sense, our analysis shows that the FPK model is a generalisation of the K{"a}rger one for the case of arbitrary duration of the magnetic pulses. We also give a mathematically justified new definition of the diffusion time for the K{"a}rger model (the one that provides the highest rate of convergence).The ADC for the FPK model is time-independent which is not compatible with some experimental observations. Our goal next is to correct this model for small so called $b$-values so that the resulting homogenised ADC is sensitive to both the pulses duration and the diffusion time. To achieve this goal, we employed a similar homogenization technique as for FPK, but we include a suitable time and gradient intensity scalings for the range of considered $b$-values. Numerical simulations show that the derived asymptotic new model provides a very accurate approximation of the dMRI signal at low $b$-values. We also obtain some analytical approximations (using short time expansion of surface potentials for the heat equation and eigenvalue decompositions) of the asymptotic model that yield explicit formulas of the time dependency of ADC. Our results are in concordance with classical ones in the literature and we improved some of them by accounting for the pulses duration.Finally we explored the inverse problem of determining qualitative information on the cells volume fractions from measured dMRI signals. While finding sphere distributions seems feasible from measurement of the whole dMRI signal, we show that ADC alone would not be sufficient to obtain this information
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Vitanov, Ivan. "Kernel-based fault diagnosis of inertial sensors using analytical redundancy." Thesis, Cranfield University, 2017. http://dspace.lib.cranfield.ac.uk/handle/1826/12741.

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Kernel methods are able to exploit high-dimensional spaces for representational advantage, while only operating implicitly in such spaces, thus incurring none of the computational cost of doing so. They appear to have the potential to advance the state of the art in control and signal processing applications and are increasingly seeing adoption across these domains. Applications of kernel methods to fault detection and isolation (FDI) have been reported, but few in aerospace research, though they offer a promising way to perform or enhance fault detection. It is mostly in process monitoring, in the chemical processing industry for example, that these techniques have found broader application. This research work explores the use of kernel-based solutions in model-based fault diagnosis for aerospace systems. Specifically, it investigates the application of these techniques to the detection and isolation of IMU/INS sensor faults – a canonical open problem in the aerospace field. Kernel PCA, a kernelised non-linear extension of the well-known principal component analysis (PCA) algorithm, is implemented to tackle IMU fault monitoring. An isolation scheme is extrapolated based on the strong duality known to exist between probably the most widely practiced method of FDI in the aerospace domain – the parity space technique – and linear principal component analysis. The algorithm, termed partial kernel PCA, benefits from the isolation properties of the parity space method as well as the non-linear approximation ability of kernel PCA. Further, a number of unscented non-linear filters for FDI are implemented, equipped with data-driven transition models based on Gaussian processes - a non-parametric Bayesian kernel method. A distributed estimation architecture is proposed, which besides fault diagnosis can contemporaneously perform sensor fusion. It also allows for decoupling faulty sensors from the navigation solution.
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Sun, Jingyuan. "Optimization of high-speed CMOS circuits with analytical models for signal delay." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0002/MQ43548.pdf.

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Desmond, Allan Peter. "An analytical signal transform derived from the Walsh Transform for efficient detection of dual tone multiple frequency (DTMF) signals." Thesis, Bucks New University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401474.

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Pachnicke, Stephan [Verfasser]. "Fast Analytical Assessment of the Signal Quality in Transparent Optical Networks / Stephan Pachnicke." Aachen : Shaker, 2005. http://d-nb.info/1186576782/34.

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MacKay, James D. "Analytical method for turbine blade temperature mapping to estimate a pyrometer input signal." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45797.

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The purpose of this thesis is to develop a method to estimate local blade temperatures in a gas turbine for comparison with the output signal of an experimental pyrometer. The goal of the method is to provide a temperature measurement benchmark based on a knowledge of blade geometry and engine operating conditions. A survey of currently available methods is discussed including both experimental and analytical techniques.The purpose of this thesis is to develop a method to estimate local blade temperatures in a gas turbine for comparison with the output signal of an experimental pyrometer. The goal of the method is to provide a temperature measurement benchmark based on a knowledge of blade geometry and engine operating conditions. A survey of currently available methods is discussed including both experimental and analytical techniques.

An analytical approach is presented as an example, using the output from a cascade flow solver to estimate local blade temperatures from local flow conditions. With the local blade temperatures, a grid is constructed which maps the temperatures onto the blade. A predicted pyrometer trace path is then used to interpolate temperature values from the grid, predicting the temperature history a pyrometer would record as the blade rotates through the pyrometer line of sight. Plotting the temperature history models a pyrometer input signal. An analytical approach is presented as an example, using the output from a cascade flow solver to estimate local blade temperatures from local flow conditions. With the local blade temperatures, a grid is constructed which maps the temperatures onto the blade. A predicted pyrometer trace path is then used to interpolate temperature values from the grid, predicting the temperature history a pyrometer would record as the blade rotates through the pyrometer line of sight. Plotting the temperature history models a pyrometer input signal.


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Воргуль, О. В. "Approaches Half Band Filter Realization for Means FPGA." Thesis, NURE, MC&FPGA, 2019. https://mcfpga.nure.ua/conf/2019-mcfpga/10-35598-mcfpga-2019-015.

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Воргуль, О. В. "Approaches Half Band Filter Realization for Means FPGA." Thesis, NURE, MC&FPGA, 2019. https://mcfpga.nure.ua/conf/2019-mcfpga/10-35598-mcfpga-2019-015.

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Wang, Liang. "Myocardial motion estimation from 2D analytical phases and preliminary study on the hypercomplex signal." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0140/document.

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Les signaux analytiques multidimensionnels nous permettent d'avoir des possibilités de calculer les phases et modules. Cependant, peu de travaux se trouvent sur les signaux analytiques multidimensionnels qui effectuent une extensibilité appropriée pour les applications à la fois sur du traitement des données médicales 2D et 3D. Cette thèse a pour objectif de proposer des nouvelles méthodes pour le traitement des images médicales 2D/3D pour les applications de détection d'enveloppe et d'estimation du mouvement. Premièrement, une représentation générale du signal quaternionique 2D est proposée dans le cadre de l'algèbre de Clifford et cette idée est étendue pour modéliser un signal analytique hypercomplexe 3D. La méthode proposée décrit que le signal analytique complexe 2D, est égal aux combinaisons du signal original et de ses transformées de Hilbert partielles et totale. Cette écriture est étendue au cas du signal analytique hypercomplexe 3D. Le résultat obtenu est que le signal analytique hypercomplexe de Clifford peut être calculé par la transformée de Fourier complexe classique. Basé sur ce signal analytique de Clifford 3D, une application de détection d'enveloppe en imagerie ultrasonore 3D est présentée. Les résultats montrent une amélioration du contraste de 7% par rapport aux méthodes de détection d'enveloppe 1D et 2D. Deuxièmement, cette thèse propose une approche basée sur deux phases spatiales du signal analytique 2D appliqué aux séquences cardiaques. En combinant l'information de ces phases des signaux analytiques de deux images successives, nous proposons un estimateur analytique pour les déplacements locaux 2D. Pour améliorer la précision de l'estimation du mouvement, un modèle bilinéaire local de déformation est utilisé dans un algorithme itératif. Cette méthode basée sur la phase permet au déplacement d'être estimé avec une précision inférieure au pixel et est robuste à la variation d'intensité des images dans le temps. Les résultats de sept séquences simulées d'imagerie par résonance magnétique (IRM) marquées montrent que notre méthode est plus précise comparée à des méthodes récentes utilisant la phase du signal monogène ou des méthodes classiques basées sur l'équation du flot optique. Les erreurs d'estimation de mouvement de la méthode proposée sont réduites d'environ 33% par rapport aux méthodes testées. En outre, les déplacements entre deux images sont cumulés en temps, pour obtenir la trajectoire d'un point du myocarde. En effet, des trajectoires ont été calculées sur deux patients présentant des infarctus. Les amplitudes des trajectoires des points du myocarde appartenant aux régions pathologiques sont clairement réduites par rapport à celles des régions normales. Les trajectoires des points du myocarde, estimées par notre approche basée sur la phase de signal analytique, sont donc un bon indicateur de la dynamique cardiaque locale. D'ailleurs, elles s'avèrent cohérentes à la déformation estimée du myocarde
Different mathematical tools, such as multidimensional analytic signals, provide possibilities to calculate multidimensional phases and modules. However, little work can be found on multidimensional analytic signals that perform appropriate extensibility for the applications on both of the 2D and 3D medical data processing. In this thesis, based on the Hahn 1D complex analytic, we aim to proposed a multidimensional extension approach from the 2D to a new 3D hypercomplex analytic signal in the framework of Clifford algebra. With the complex/hypercomplex analytic signals, we propose new 2D/3D medical image processing methods for the application of ultrasound envelope detection and cardiac motion estimation. Firstly, a general representation of 2D quaternion signal is proposed in the framework of Clifford algebra and this idea is extended to generate 3D hypercomplex analytic signal. The proposed method describes that the complex/hypercomplex 2D analytic signals, together with 3D hypercomplex analytic signal, are equal to different combinations of the original signal and its partial and total Hilbert transforms, which means that the hypercomplex Clifford analytic signal can be calculated by the classical Fourier transform. Based on the proposed 3D Clifford analytic signal, an application of 3D ultrasound envelope detection is presented. The results show a contrast optimization of about 7% comparing with 1D and 2D envelope detection methods. Secondly, this thesis proposes an approach based on two spatial phases of the 2D analytic signal applied to cardiac sequences. By combining the information of these phases issued from analytic signals of two successive frames, we propose an analytical estimator for 2D local displacements. To improve the accuracy of the motion estimation, a local bilinear deformation model is used within an iterative estimation scheme. This phase-based method allows the displacement to be estimated with subpixel accuracy and is robust to image intensity variation in time. Results from seven realistic simulated tagged magnetic resonance imaging (MRI) sequences show that our method is more accurate compared with the state-of-the-art method. The motion estimation errors (end point error) of the proposed method are reduced by about 33% compared with that of the tested methods. In addition, the frame-to-frame displacements are further accumulated in time, to allow for the calculation of myocardial point trajectories. Indeed, from the estimated trajectories in time on two patients with infarcts, the shape of the trajectories of myocardial points belonging to pathological regions are clearly reduced in magnitude compared with the ones from normal regions. Myocardial point trajectories, estimated from our phase-based analytic signal approach, are therefore a good indicator of the local cardiac dynamics. Moreover, they are shown to be coherent with the estimated deformation of the myocardium
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Books on the topic "Analytical signal"

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Ravelo, Blaise, ed. Analytical Methodology of Tree Microstrip Interconnects Modelling For Signal Distribution. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0552-2.

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Filippini, Daniel. Autonomous Sensor Networks: Collective Sensing Strategies for Analytical Purposes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Mirko, Lehmann, and SpringerLink (Online service), eds. Solid State Gas Sensors - Industrial Application. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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System theory and practical applications of biomedical signals. [Piscataway, N.J.]: IEEE Press, 2002.

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McCool, Michael David. Analytic signal processing for computer graphics using multivariate polyhedral splines. Toronto: University of Toronto, Dept. of Computer Science, 1994.

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Bedrosian, Edward. Concept-level analytical procedures for loading nonprocessing communication satellites with nonantijam signals. Santa Monica, CA: Rand, 1996.

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RF and digital signal processing for software-defined radio: A system-analytic approach. Burlington, MA: Elsevier/Newnes, 2008.

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1940-, Huth Gaylord, ed. Concept-Level analytical procedures for loading nonprocessing commnunication satellites with direct-sequence, spread-spectrum signals. Santa Monica, CA: Rand, 1996.

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Man'kovskaya, Zoya. English language for technical colleges. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1033835.

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The textbook is designed to develop students ' skills of analytical, viewing and search reading of General scientific texts, retelling texts based on reference signals, as well as to form grammatical and lexical competencies, the ability to participate in a dialogue on the topic studied, extract information to discuss issues related to the history and current state of physics, biology, computer science, innovation and other areas of knowledge necessary for a modern specialist. It includes a basic course, a grammar workshop, lesson tests, and final tests. Current scientific and technical problems that are widely discussed in the world information space are revealed, which allows the student to maintain a dialogue on current topics of modern science and technology. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For first-and second-year students of technical universities of any orientation.
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Westgard, James O. Six sigma risk analysis: Designing analytic QC plans for the medical laboratory. Madison, WI: Westgard QC, 2011.

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Book chapters on the topic "Analytical signal"

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Picinbono, B. "The Analytical Signal and Related Problem." In Time and Frequency Representation of Signals and Systems, 1–9. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2620-2_1.

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Kroutil, Robert T., John T. Ditillo, and Gary W. Small. "Signal Processing Techniques for Remote Infrared Chemical Sensing." In Computer-Enhanced Analytical Spectroscopy, 71–111. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-1312-0_4.

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Lyman, Charles E., Joseph I. Goldstein, Alton D. Romig, Patrick Echlin, David C. Joy, Dale E. Newbury, David B. Williams, et al. "SE Signal Components." In Scanning Electron Microscopy, X-Ray Microanalysis, and Analytical Electron Microscopy, 67–72. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0635-1_12.

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Lyman, Charles E., Joseph I. Goldstein, Alton D. Romig, Patrick Echlin, David C. Joy, Dale E. Newbury, David B. Williams, et al. "SE Signal Components." In Scanning Electron Microscopy, X-Ray Microanalysis, and Analytical Electron Microscopy, 251–62. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0635-1_41.

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Bastiaens, Philippe I. H., and Thomas M. Jovin. "Fret Microscopy in Cellular Signal Transduction." In Analytical Use of Fluorescent Probes in Oncology, 53–57. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-5845-3_5.

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Radojičić, Una, and Klaus Nordhausen. "Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace." In Analytical Methods in Statistics, 101–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48814-7_6.

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Bachu, Vinay, and Pranab Goswami. "Bioelectrochemiluminescence as an Analytical Signal of Extreme Sensitivity." In Advanced Materials and Techniques for Biosensors and Bioanalytical Applications, 233–50. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003083856-11.

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Lazarov, Andon Dimitrov, and Todor Pavlov Kostadinov. "Analytical Geometrical Determination of BSAR Resolution." In Bistatic SAR/GISAR/FISAR Geometry, Signal Models and Imaging Algorithms, 65–75. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118863473.ch5.

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Dutta Roy, Suhash Chandra. "Analytical Solution to the Problem of Charging a Capacitor Through a Lamp." In Circuits, Systems and Signal Processing, 131–34. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6919-2_16.

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Smit, H. C., and H. Steigstra. "Noise and Detection Limits in Signal-Integrating Analytical Methods." In ACS Symposium Series, 126–48. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1988-0361.ch007.

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Conference papers on the topic "Analytical signal"

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Zhao Xinghao, Tao Ran, and Wang Yue. "Analytical expression of GSM signal ambiguity function." In 2008 9th International Conference on Signal Processing (ICSP 2008). IEEE, 2008. http://dx.doi.org/10.1109/icosp.2008.4697604.

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Xin Li, Dengyu Qiao, and Ye Li. "An analytical model for regular respiratory signal." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943539.

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Paonni, M., J. G. Jang, B. Eissfeller, S. Wallner, J. A. Avila Rodriguez, J. Samson, and F. Amarillo Fernandez. "Innovative interference mitigation approaches: Analytical analysis, implementation and validation." In European Workshop on GNSS Signals and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/navitec.2010.5708055.

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Sastry Rambhatla, G., and P. Ranjan Pujari. "Stabilized Analytical Signal Method in Electrical Resistivity Tomography." In 59th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609-pdb.131.gen1997_p135.

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Petrovic, Predrag B. "Power harmonics estimation based on analytical signal concept." In 2017 International Symposium on Power Electronics (Ee). IEEE, 2017. http://dx.doi.org/10.1109/pee.2017.8171700.

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Papola, Natale, and Gaetano Fusco. "A New Analytical Model for Traffic Signal Synchronization." In Second International Conference on Transportation and Traffic Studies (ICTTS ). Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)78.

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Oktem, Figen S., and Farzad Kamalabadi. "Analytical precision limits in slitless spectroscopy." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319734.

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Chepuri, Sundeep Prabhakar, Mario Coutino, Antonio G. Marques, and Geert Leus. "Distributed Analytical Graph Identification." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461484.

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Matejcek, Miroslav, and Mikulas Sostronek. "Analytical Hierarchic Method in Decision Making Process." In 2020 New Trends in Signal Processing (NTSP). IEEE, 2020. http://dx.doi.org/10.1109/ntsp49686.2020.9229533.

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Kr. Mondal, Uttam, and Mandal J.K. "An Analytical Approach to Generate Unique Song Signal ( AUSS )." In Third International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3623.

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Reports on the topic "Analytical signal"

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Corriveau, Elizabeth, Ashley Mossell, Holly VerMeulen, Samuel Beal, and Jay Clausen. The effectiveness of laser-induced breakdown spectroscopy (LIBS) as a quantitative tool for environmental characterization. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40263.

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Laser-induced breakdown spectroscopy (LIBS) is a rapid, low-cost analytical method with potential applications for quantitative analysis of soils for heavy metal contaminants found in military ranges. The Department of Defense (DoD), Army, and Department of Homeland Security (DHS) have mission requirements to acquire the ability to detect and identify chemicals of concern in the field. The quantitative potential of a commercial off-the-shelf (COTS) hand-held LIBS device and a classic laboratory bench-top LIBS system was examined by measuring heavy metals (antimony, tungsten, iron, lead, and zinc) in soils from six military ranges. To ensure the accuracy of the quantified results, we also examined the soil samples using other hand-held and bench-top analytical methods, to include Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) and X-Ray Fluorescence (XRF). The effects of soil heterogeneity on quantitative analysis were reviewed with hand-held and bench-top systems and compared multivariate and univariate calibration algorithms for heavy metal quantification. In addition, the influence of cold temperatures on signal intensity and resulting concentration were examined to further assess the viability of this technology in cold environments. Overall, the results indicate that additional work should be performed to enhance the ability of LIBS as a reliable quantitative analytical tool.
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Rokhlin, Vladimir. Analytical Tools for Real-Time Delta-Sigma Multibeam Processing. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada428954.

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Bai, Z. D., and C. R. Rao. Spectral Analytic Methods for the Estimation of Number of Signals and Directions of Arrival. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada217219.

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Pizzillo, Thomas J., and Jerry Silvious. An Analytic Description of a Harmonic Decomposition Technique for Correcting Signal Errors Due to Wideband Radar Phase Detector. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada390876.

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Oneschuk, D., and G. Kilfoil. Analytic signal of the magnetic field, airborne geophysical data compilation, north-central Newfoundland, Newfoundland and Labrador, parts of NTS 2-C, D, E and F. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329230.

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Edwards, Thomas. Phase II of a Six sigma Initiative to Study DWPF SME Analytical Turnaround Times: SRNL's Evaluation of Carbonate-Based Dissolution Methods. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/881427.

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Perdigão, Rui A. P. Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211028.

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We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geosciences. Taking aim at complex multiscale planetary problems, the roles of our flagships are put into evidence in different contexts, ranging from I) Interdisciplinary analytics, model design and dynamic prediction of hydro-climatic and broader geophysical criticalities and extremes across multiple spatiotemporal scales; to II) Sensing the pulse of our planet and detecting early warning signs of geophysical phenomena from Space with our Meteoceanics QITES Constellation, at the interface between our latest developments in non-linear dynamics and emerging quantum technologies.
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Oneschuk, D., and G. Kilfoil. Analytic signal of the magnetic field, characterization of a highly prospective fault system with airborne geophysics data, west-central Newfoundland, Newfoundland and Labrador, NTS 12-A and parts of NTS 1-M, 2-D, 11-O, P and 12-B. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328205.

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Yatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.

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The article investigates functional techniques of extralinguistic expression in multimedia texts; the effectiveness of figurative expressions as a reaction to modern events in Ukraine and their influence on the formation of public opinion is shown. Publications of journalists, broadcasts of media resonators, experts, public figures, politicians, readers are analyzed. The language of the media plays a key role in shaping the worldview of the young political elite in the first place. The essence of each statement is a focused thought that reacts to events in the world or in one’s own country. The most popular platform for mass information and social interaction is, first of all, network journalism, which is characterized by mobility and unlimited time and space. Authors have complete freedom to express their views in direct language, including their own word formation. Phonetic, lexical, phraseological and stylistic means of speech create expression of the text. A figurative word, a good aphorism or proverb, a paraphrased expression, etc. enhance the effectiveness of a multimedia text. This is especially important for headlines that simultaneously inform and influence the views of millions of readers. Given the wide range of issues raised by the Internet as a medium, research in this area is interdisciplinary. The science of information, combining language and social communication, is at the forefront of global interactions. The Internet is an effective source of knowledge and a forum for free thought. Nonlinear texts (hypertexts) – «branching texts or texts that perform actions on request», multimedia texts change the principles of information collection, storage and dissemination, involving billions of readers in the discussion of global issues. Mastering the word is not an easy task if the author of the publication is not well-read, is not deep in the topic, does not know the psychology of the audience for which he writes. Therefore, the study of media broadcasting is an important component of the professional training of future journalists. The functions of the language of the media require the authors to make the right statements and convincing arguments in the text. Journalism education is not only knowledge of imperative and dispositive norms, but also apodictic ones. In practice, this means that there are rules in media creativity that are based on logical necessity. Apodicticity is the first sign of impressive language on the platform of print or electronic media. Social expression is a combination of creative abilities and linguistic competencies that a journalist realizes in his activity. Creative self-expression is realized in a set of many important factors in the media: the choice of topic, convincing arguments, logical presentation of ideas and deep philological education. Linguistic art, in contrast to painting, music, sculpture, accumulates all visual, auditory, tactile and empathic sensations in a universal sign – the word. The choice of the word for the reproduction of sensory and semantic meanings, its competent use in the appropriate context distinguishes the journalist-intellectual from other participants in forums, round tables, analytical or entertainment programs. Expressive speech in the media is a product of the intellect (ability to think) of all those who write on socio-political or economic topics. In the same plane with him – intelligence (awareness, prudence), the first sign of which (according to Ivan Ogienko) is a good knowledge of the language. Intellectual language is an important means of organizing a journalistic text. It, on the one hand, logically conveys the author’s thoughts, and on the other – encourages the reader to reflect and comprehend what is read. The richness of language is accumulated through continuous self-education and interesting communication. Studies of social expression as an important factor influencing the formation of public consciousness should open up new facets of rational and emotional media broadcasting; to trace physical and psychological reactions to communicative mimicry in the media. Speech mimicry as one of the methods of disguise is increasingly becoming a dangerous factor in manipulating the media. Mimicry is an unprincipled adaptation to the surrounding social conditions; one of the most famous examples of an animal characterized by mimicry (change of protective color and shape) is a chameleon. In a figurative sense, chameleons are called adaptive journalists. Observations show that mimicry in politics is to some extent a kind of game that, like every game, is always conditional and artificial.
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Russo, Margherita, Fabrizio Alboni, Jorge Carreto Sanginés, Manlio De Domenico, Giuseppe Mangioni, Simone Righi, and Annamaria Simonazzi. The Changing Shape of the World Automobile Industry: A Multilayer Network Analysis of International Trade in Components and Parts. Institute for New Economic Thinking Working Paper Series, January 2022. http://dx.doi.org/10.36687/inetwp173.

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In 2018, after 25 years of the North America Trade Agreement (NAFTA), the United States requested new rules which, among other requirements, increased the regional con-tent in the production of automotive components and parts traded between the three part-ner countries, United States, Canada and Mexico. Signed by all three countries, the new trade agreement, USMCA, is to go into force in 2022. Nonetheless, after the 2020 Presi-dential election, the new treaty's future is under discussion, and its impact on the automo-tive industry is not entirely defined. Another significant shift in this industry – the acceler-ated rise of electric vehicles – also occurred in 2020: while the COVID-19 pandemic largely halted most plants in the automotive value chain all over the world, at the reopen-ing, the tide is now running against internal combustion engine vehicles, at least in the an-nouncements and in some large investments planned in Europe, Asia and the US. The definition of the pre-pandemic situation is a very helpful starting point for the analysis of the possible repercussions of the technological and geo-political transition, which has been accelerated by the epidemic, on geographical clusters and sectorial special-isations of the main regions and countries. This paper analyses the trade networks emerg-ing in the past 25 years in a new analytical framework. In the economic literature on inter-national trade, the study of the automotive global value chains has been addressed by us-ing network analysis, focusing on the centrality of geographical regions and countries while largely overlooking the contribution of countries' bilateral trading in components and parts as structuring forces of the subnetwork of countries and their specific position in the overall trade network. The paper focuses on such subnetworks as meso-level structures emerging in trade network over the last 25 years. Using the Infomap multilayer clustering algorithm, we are able to identify clusters of countries and their specific trades in the automotive internation-al trade network and to highlight the relative importance of each cluster, the interconnec-tions between them, and the contribution of countries and of components and parts in the clusters. We draw the data from the UN Comtrade database of directed export and import flows of 30 automotive components and parts among 42 countries (accounting for 98% of world trade flows of those items). The paper highlights the changes that occurred over 25 years in the geography of the trade relations, with particular with regard to denser and more hierarchical network gener-ated by Germany’s trade relations within EU countries and by the US preferential trade agreements with Canada and Mexico, and the upsurge of China. With a similar overall va-riety of traded components and parts within the main clusters (dominated respectively by Germany, US and Japan-China), the Infomap multilayer analysis singles out which com-ponents and parts determined the relative positions of countries in the various clusters and the changes over time in the relative positions of countries and their specialisations in mul-tilateral trades. Connections between clusters increase over time, while the relative im-portance of the main clusters and of some individual countries change significantly. The focus on US and Mexico and on Germany and Central Eastern European countries (Czech Republic, Hungary, Poland, Slovakia) will drive the comparative analysis.
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