Relevant bibliographies by topics / Spin noise signal

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spin noise signal'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Spin noise signal"

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Shi Ping, Ma Jian, Qian Xuan, Ji Yang, and Li Wei. "Signal-to-noise ratio of spin noise spectroscopy in rubidium vapor." Acta Physica Sinica 66, no. 1 (2017): 017201. http://dx.doi.org/10.7498/aps.66.017201.

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Chaudhari, Abhijit P., Shane P. Kelly, Riccardo J. Valencia-Tortora, and Jamir Marino. "Zeno crossovers in the entanglement speed of spin chains with noisy impurities." Journal of Statistical Mechanics: Theory and Experiment 2022, no. 10 (October 1, 2022): 103101. http://dx.doi.org/10.1088/1742-5468/ac8e5d.

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Abstract We use a noisy signal with finite correlation time to drive a spin (dissipative impurity) in the quantum XY spin chain and calculate the dynamics of entanglement entropy (EE) of a bipartition of spins, for a stochastic quantum trajectory. We compute the noise averaged EE of a bipartition of spins and observe that its speed of spreading decreases at strong dissipation, as a result of the Zeno effect. We recover the Zeno crossover and show that noise averaged EE can be used as a proxy for the heating and Zeno regimes. Upon increasing the correlation time of the noise, the location of the Zeno crossover shifts at stronger dissipation, extending the heating regime.
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Ma, Yintao, Zhixia Qiao, Mingzhi Yu, Yanbin Wang, Yao Chen, Guoxi Luo, Ping Yang, et al. "Single-beam integrated hybrid optical pumping spin exchange relaxation free magnetometer for biomedical applications." Applied Physics Letters 121, no. 11 (September 12, 2022): 114001. http://dx.doi.org/10.1063/5.0105945.

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An ingenious approach to accomplish the high signal strengthen and relatively homogeneous spin polarization has been presented in a hybrid optical pumping spin-exchange-relaxation-free atomic magnetometer only utilizing single-beam configuration. We have experimentally demonstrated an approximately three-fold enhancement of the output signal at the optimal spin polarization by optically pumping the thin vapor due to the same spin evolution behavior of the two different kinds of vapor atoms. Eventually, a measuring sensitivity of 30 fT/Hz1/2 was achieved combined with the homemade differential detection system for attenuating large background offset and suppressing optical power noise. This scheme provides a prospect for the development of ultra-highly sensitive and chip-scale atomic magnetometer for the applications that desire both high signal-to-noise ratio and uniform spin polarization, such as magnetocardiography and magnetoencephalography.
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Mokhtari, S. Abolfazl, and Mehdi Sabzehparvar. "Spin flight mode identification with OEEMD algorithm." Aircraft Engineering and Aerospace Technology 91, no. 4 (April 1, 2019): 582–600. http://dx.doi.org/10.1108/aeat-12-2017-0280.

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Purpose The paper aims to present an innovative method for identification of flight modes in the spin maneuver, which is highly nonlinear and coupled dynamic. Design/methodology/approach To fix the mode mixing problem which is mostly happen in the EMD algorithm, the authors focused on the proposal of an optimized ensemble empirical mode decomposition (OEEMD) algorithm for processing of the flight complex signals that originate from FDR. There are two improvements with the OEEMD respect to the EEMD. First, this algorithm is able to make a precise reconstruction of the original signal. The second improvement is that the OEEMD performs the task of signal decomposition with fewer iterations and so with less complexity order rather than the competitor approaches. Findings By applying the OEEMD algorithm to the spin flight parameter signals, flight modes extracted, then with using systematic technique, flight modes characteristics are obtained. The results indicate that there are some non-standard modes in the nonlinear region due to couplings between the longitudinal and lateral motions. Practical implications Application of the proposed method to the spin flight test data may result accurate identification of nonlinear dynamics with high coupling in this regime. Originality/value First, to fix the mode mixing problem in EMD, an optimized ensemble empirical mode decomposition algorithm is introduced, which disturbed the original signal with a sort of white Gaussian noise, and by using white noise statistical characteristics the OEEMD fix the mode mixing problem with high precision and fewer calculations. Second, by applying the OEEMD to the flight output signals and with using the systematic method, flight mode characteristics which is very important in the simulation and controller designing are obtained.
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Dai, Weiying, Gopal Varma, Rachel Scheidegger, and David C. Alsop. "Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI." Journal of Cerebral Blood Flow & Metabolism 36, no. 3 (November 5, 2015): 463–73. http://dx.doi.org/10.1177/0271678x15615339.

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Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) has been widely used to investigate spontaneous low-frequency signal fluctuations across brain resting state networks. However, BOLD only provides relative measures of signal fluctuations. Arterial Spin Labeling (ASL) MRI holds great potential for quantitative measurements of resting state network fluctuations. This study systematically quantified signal fluctuations of the large-scale resting state networks using ASL data from 20 healthy volunteers by separating them from global signal fluctuations and fluctuations caused by residual noise. Global ASL signal fluctuation was 7.59% ± 1.47% relative to the ASL baseline perfusion. Fluctuations of seven detected resting state networks vary from 2.96% ± 0.93% to 6.71% ± 2.35%. Fluctuations of networks and residual noise were 6.05% ± 1.18% and 6.78% ± 1.16% using 4-mm resolution ASL data applied with Gaussian smoothing kernel of 6mm. However, network fluctuations were reduced by 7.77% ± 1.56% while residual noise fluctuation was markedly reduced by 39.75% ± 2.90% when smoothing kernel of 12 mm was applied to the ASL data. Therefore, global and network fluctuations are the dominant structured noise sources in ASL data. Quantitative measurements of resting state networks may enable improved noise reduction and provide insights into the function of healthy and diseased brain.
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Wilson, Richard H., Rachel McArdle, Kelly L. Watts, and Sherri L. Smith. "The Revised Speech Perception in Noise Test (R-SPIN) in a Multiple Signal-to-Noise Ratio Paradigm." Journal of the American Academy of Audiology 23, no. 08 (September 2012): 590–605. http://dx.doi.org/10.3766/jaaa.23.7.9.

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Background: The Revised Speech Perception in Noise Test (R-SPIN; Bilger, 1984b) is composed of 200 target words distributed as the last words in 200 low-predictability (LP) and 200 high-predictability (HP) sentences. Four list pairs, each consisting of two 50-sentence lists, were constructed with the target word in a LP and HP sentence. Traditionally the R-SPIN is presented at a signal-to-noise ratio (SNR, S/N) of 8 dB with the listener task to repeat the last word in the sentence. Purpose: The purpose was to determine the practicality of altering the R-SPIN format from a single SNR paradigm into a multiple SNR paradigm from which the 50% points for the HP and LP sentences can be calculated. Research Design: Three repeated measures experiments were conducted. Study Sample: Forty listeners with normal hearing and 184 older listeners with pure-tone hearing loss participated in the sequence of experiments. Data Collection and Analysis: The R-SPIN sentences were edited digitally (1) to maintain the temporal relation between the sentences and babble, (2) to establish the SNRs, and (3) to mix the speech and noise signals to obtain SNRs between –1 and 23 dB. All materials were recorded on CD and were presented through an earphone with the responses recorded and analyzed at the token level. For reference purposes the Words-in-Noise Test (WIN) was included in the first experiment. Results: In Experiment 1, recognition performances by listeners with normal hearing were better than performances by listeners with hearing loss. For both groups, performances on the HP materials were better than performances on the LP materials. Performances on the LP materials and on the WIN were similar. Performances at 8 dB S/N were the same with the traditional fixed level presentation and the descending presentation level paradigms. The results from Experiment 2 demonstrated that the four list pairs of R-SPIN materials produced good first approximation psychometric functions over the –4 to 23 dB S/N range, but there were irregularities. The data from Experiment 2 were used in Experiment 3 to guide the selection of the words to be used at the various SNRs that would provide homogeneous performances at each SNR and would produce systematic psychometric functions. In Experiment 3, the 50% points were in good agreement for the LP and HP conditions within both groups of listeners. The psychometric functions for List Pairs 1 and 2, 3 and 4, and 5 and 6 had similar characteristics and maintained reasonable separations between the HP and LP functions, whereas the HP and LP functions for List Pair 7 and 8 bisected one another at the lower SNRs. Conclusions: This study indicates that the R-SPIN can be configured into a multiple SNR paradigm. A more in-depth study with the R-SPIN materials is needed to develop lists that are systematic and reasonably equivalent for use on listeners with hearing loss. The approach should be based on the psychometric characteristics of the 200 HP and 200 LP sentences with the current R-SPIN lists discarded. Of importance is maintaining the synchrony between the sentences and their accompanying babble.
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Adilakshmi, D., Kousik Chandra, and K. V. Ramanathan. "Enhancement of the Nuclear Spin Noise Signal Using Wavelet Transform." ChemPhysChem 20, no. 3 (December 4, 2018): 456–62. http://dx.doi.org/10.1002/cphc.201800938.

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Ginthör, Stephan J., Judith Schlagnitweit, Matthias Bechmann, and Norbert Müller. "Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique (SART) processing." Magnetic Resonance 1, no. 2 (August 6, 2020): 165–73. http://dx.doi.org/10.5194/mr-1-165-2020.

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Abstract. We report three-dimensional spin noise imaging (SNI) of nuclear spin density from spin noise data acquired by Faraday detection. Our approach substantially extends and improves the two-dimensional SNI method for excitation-less magnetic resonance tomography reported earlier (Müller and Jerschow, 2006). This proof of principle was achieved by taking advantage of the particular continuous nature of spin noise acquired in the presence of constant magnitude magnetic field gradients and recent advances in nuclear spin noise spectroscopy acquisition as well as novel processing techniques. In this type of projection–reconstruction-based spin noise imaging the trade-off between signal-to-noise ratio (or image contrast) and resolution can be adjusted a posteriori during processing of the original time-domain data by iterative image reconstruction in a unique way not possible in conventional rf-pulse-dependent magnetic resonance imaging (MRI). The 3D SNI is demonstrated as a proof of concept on a commercial 700 MHz high-resolution NMR spectrometer, using a 3D-printed polymeric phantom immersed in water.
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KRAWIECKI, A., S. MATYJAŚKIEWICZ, J. A. HOŁYST, and K. KACPERSKI. "FRACTAL SPECTROSCOPY BY NOISE-FREE STOCHASTIC MULTIRESONANCE AT HIGHER HARMONICS." International Journal of Bifurcation and Chaos 14, no. 01 (January 2004): 141–59. http://dx.doi.org/10.1142/s0218127404009235.

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Noise-free stochastic resonance is investigated in two chaotic maps with periodically modulated control parameter close to a boundary crisis: the Hénon map and the kicked spin model. Response of the maps to the periodic signal at the fundamental frequency and its higher harmonics is examined. The systems show noise-free stochastic multiresonance, i.e. multiple maxima of the signal-to-noise ratio at the fundamental frequency as a function of the control parameter. The maxima are directly related to the fractal structure of the attractors and basins of attraction colliding at the crisis point. The signal-to-noise ratios at higher harmonics show more maxima, as well as dips where the signal-to-noise ratio is zero. This opens a way to use noise-free stochastic resonance to probe the fractal structure of colliding sets by a method which can be called "fractal spectroscopy". Using stochastic resonance at higher harmonics can reveal smaller details of the fractal structures, but the interpretation of results becomes more difficult. Quantitative theory based on a model of a colliding fractal attractor and a fractal basin of attraction is derived which agrees with numerical results for the signal-to-noise ratio at the fundamental frequency and at the first two harmonics, quantitatively for the Hénon map, and qualitatively for the kicked spin model. It is also argued that the maps under study belong to a more general class of threshold-crossing stochastic resonators with a modulated control parameter, and qualitative discussion of conditions under which stochastic multiresonance appears in such systems is given.
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Strakholis, Andrey A., Vladimir T. Oleynikov, and Andrey N. Petrenko. "Noise-like signals and their conversion used in radio communication systems." T-Comm 16, no. 7 (2022): 14–20. http://dx.doi.org/10.36724/2072-8735-2022-16-7-14-20.

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The actual problem of determining the principle of the transmission signal formation and its transformation into an initial signal providing stable radio communication in a radio interference situation is considered. This is typical when organizing the management of fire extinguishing units, especially in forests and steppes. The subject of the study is the use of a reprogrammable matched filter (PPSF), in which a spin echo processor with a working substance 59Co is used to convert phase-manipulated noise-like signals. The purpose of the work is to propose the use of a spin processor in the PPSF, which ensures the conversion of FM SHPS even in the presence of dynamically changing multipath. With this configuration of the radio-transmitting device, it becomes possible to organize multicast radio communication without deploying a base station. The results of the study include the results of machine modeling of the conversion of FM SHPS to PPSF under unfavorable conditions of formation of a three-beam signal at the input of a radio receiver. The structural diagrams of the FM SHPS and PPSF shaper of the laboratory installation on which the research was carried out are given. The obtained results of laboratory studies within the permissible error, when removing the results and in measuring instruments coincide with the results of machine modeling. Therefore, the considered principle of converting FM SHPS into PPSF, which is based on the principle of converting FM SHPS into a primary signal, can be successfully implemented in radio stations used by units of the Ministry of Emergency Situations of Russia in fire extinguishing areas.
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Dissertations / Theses on the topic "Spin noise signal"

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RODRIGUES, JUNIOR ORLANDO. "Desenvolvimento de um programa computacional para o tratamento de sinais obtidos pela Ressonancia Paramagnetica Eletronica na dosimetria de doses altas." reponame:Repositório Institucional do IPEN, 2003. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11145.

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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Fong, Kin Chung. "High Sensitivity Electron Spin Resonance by Magnetic Resonance Force Microscopy at Low Temperature." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1228338129.

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Jbili, Nadia. "Conception et analyse des schémas d'optimisation pour la résonance magnétique nucléaire Optimal periodic control of spin systems : Application to the maximization of the signal to noise ratio per unit time." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED025.

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Cette thèse porte sur des techniques de contrôle optimal pour des systèmes issus de la mécanique quantique et de la résonance magnétique nucléaire. Le travail présenté dans ce mémoire est divisé en quatre parties.Dans la première partie, nous nous sommes intéressés au contrôle optimal simultané de l’équation de Schrödinger dépendante du temps via un champ laser qui représente le contrôle et que nous supposons soumis à une famille de perturbations. Ceci nous conduit à considérer un problème d’optimisation multi-critère via l’introduction d’un ensemble de fonctionnelles de coût à minimiser (au sens de Pareto).Dans la deuxième partie, nous étudions le cadre mathématique de l’équation de Bloch périodique. Les conditions d’optimalité nécessaires du premier ordre sont étudiées. Plus précisément, nous prouvons l’existence d’une solution périodique, ainsi que l’existence d’un optimum.Dans la troisième partie, nous présentons un nouvel algorithme d’optimisation pour les dynamiques périodiques. Cet algorithme est appliqué à la maximisation du signal sur bruit en résonance magnétique nucléaire. Le travail réalisé est ici avant tout numérique et algorithmique. Il s’agit à notre connaissance du premier algorithme de contrôle quantique permettant de considérer des dynamiques périodiques en temps. Nous avons montré l’efficacité de cette méthode pour le cas d’un système de spins homogènes et inhomogènes.La dernier partie permet de présenter l’algorithme de Shinnar-Le-Roux (SLR) qui est une méthode d’optimisation analytique. Des résultats numériques ont été réalisés en comparant cette méthode avec une méthode itérative de type GRAPE introduite dans les chapitres précédents. Le résultat de cette comparaison donne un avantage à l’algorithme SLR
This thesis deals with optimal control techniques for systems related to quantum mechanics and nuclear magnetic resonance. The work presented in this memory is divided into four parts.In the first part, we focus on to the simultaneous optimal control of the Schrödinger time-dependent equations via a laser field that represents a control term and that is assumed to be submitted to a family of perturbations. This lead us to consider a multi-criteria optimization problem through the introduction of a set of cost functional to be minimized (in the sense of Pareto).In the second part, we study the mathematical framework of the periodic Bloch equation. The necessary first-order optimality conditions are derived. More precisely, we prove the existence of a periodic solution, as well as the existence of an optimum.In the third part, we present a new optimization algorithm for periodic dynamics. This algorithm is applied to the maxi- mization of SNR in NMR. The work here is more of an numerical and algorithmic nature. To our knowledge, this is the first quantum control algorithm to consider periodic dynamics in time. We have shown the efficiency of this method in the case of a homogeneous and inhomogeneous spin system.The last part presents the Shinnar-Le-Roux algorithm (SLR), which is an analytical optimization method. Numerical results were obtained by comparing this method with an iterative grape-type method introduced in previous chapters. The result of this comparison gives an advantage to the SLR algorithm
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Amorosi, Davide. "Analog signal generation with Raspberry Pi boards for short-range communications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The aim of this thesis is to realise a low-cost wireless application for short range underwater communications, using ultrasonic frequencies. The project can be described in four main steps. The first one is a detailed study of the serial peripheral interface. It has been carried out in order to understand how to physically and logically connect, through SPI, the hardware involved in this work: a Raspberry Pi 3 model B and the MCP4822 digital to analog converter embedded in the ADC-DAC Pi Zero module. The second phase concerns a Simulink model created in order to reduce the complexity of the problem. It has been useful as a guideline for the development of the software. Then, the implementation step includes the full execution of the code, which processes information data and digital samples of a sine wave and converts them in their respective analog signals. Configurable parameters, as the amplitude and the frequency of the sinusoidal carrier, provide more flexibility to the system. The last testing phase consists in several measurements on the hardware to assess the reliability of the system, varying some parameters and comparing these results with the simulations, run on Simulink. The overall performance respects the low-cost nature of the Raspberry Pi: the analog signals exhibit phase noise due to the not perfect periodicity of the SPI clock but they are still reliable and clear enough for project purposes.
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Garcés, Francisco. "Identification of civil engineering structures." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470540.

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This thesis presents three methods to estimate and locate damage in framed buildings, simply-supported beams and cantilever structures, based on experimental measurements of their fundamental vibration modes. Numerical simulations and experimental essays were performed to study the effectiveness of each method. A numerical simulation of a multi-storey framed building, a real bridge and a real chimney were carried out to study the effectiveness of the methodologies in identifying damage. The influence of measurement errors and noise in the modal data was studied in all cases. To validate the experimental effectiveness of the damage estimation methods, static and dynamics tests were performed on a framed model, a simply supported beam, and a cantilever beam in order to determine the linear behavior changes due to the increase of the level of damage. The structural identification algorithms during this thesis were based on the knowledge type of the stiffness matrix or flexibility matrix to reduce the number of modal shapes and required coordinates for the structural assessment. The methods are intended to develop tools to produce a fast response and support for future decision procedures regarding to structures widely used, by excluding experimental information, thereby allowing a cost reduction of extensive and specific testing
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Krchňavý, Jan. "Akvizice a předzpracování MRI obrazových sekvencí pro klinické perfusní zobrazování." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219512.

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This thesis describes the theory for static and dynamic magnetic-resonance imaging using contrast agents affecting T1 relaxation time. The available acquisition methods in the specified facility of Masaryk Oncological Institute in Brno are described. The sequences for subsequent experimental measurements are selected. The used phantoms are described. Acquisition protocol for measuring is described briefly and the evaluation method for the measured data is suggested. The best acquisition sequence and a method of measurements is chosen influenced by estimation of relaxation time T1, sensitivity and signal to noise ratio. Perfusion analysis is executed and perfusion parameters are calculated. The work was supported by the European Regional Development Fund and the State Budget of the Czech Republic (RECAMO, CZ.1.05/2.1.00/03.0101).
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Bouhier, Marie Edith. "Amélioration des performances en portée et en précision de localisation angulaire des systèmes de navigation sous-marine." Grenoble INPG, 1986. http://www.theses.fr/1986INPG0122.

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L'amelioration de la precision de localisation angulaire des systemes de navigation base-courte et ultra-courte necessite de considerer des bruits correles ou non sur les deux capteurs de reception selon la taille de la base acoustique par rapport au rayon de correlation spatiale du bruit
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Kratochvíl, Petr. "Generátor přesného kmitočtu - DDS." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217814.

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This work deals with frequency generators based on the direct digital synthesis method DDS. Basic principles and attributes of the frequency generator DDS are explained. The text describes parameters influencing and defining a quality of the generated signal. The list of available integrated circuits realizing the direct digital synthesis is mentioned. A construction of the DDS generator with a device AD9954 and the generator control are described. At the end of the work, the function and parameters of the designed generator are verified.
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Pasquet, Guillaume. "Conception, réalisation et mise en oeuvre d'un microsystème pour la micro spectroscopie par résonance magnétique nucléaire." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00611547.

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Ce travail de thèse porte sur la conception, la réalisation et l'évaluation expérimentale d' un microsystème d'analyse dont l'originalité repose sur l'intégration d'une micro antenne planaire de spectroscopie par résonance magnétique nucléaire (SRMN) sur un système micro fluidique à base d'un polymère, le Cyclique Oléfine Copolymère (COC). La détermination des caractéristiques géométriques optimales du microsystème afin d'optimiser le couplage électromagnétique entre la micro antenne de détection et l'échantillon est effectuée à l'aide d'un modèle de calcul numérique, ce qui permet l'optimisation du rapport signal sur bruit (RSB). La réalisation du microsystème avec des procédés de micro fabrication développés au laboratoire ont permis de valides son fonctionnement dans un spectromètre dont le champ magnétique statique atteint 11.74 Tesla (fréquence de Larmor du proton égale à 500MHz). Travailler dans un champ aussi intense permet d'améliorer la sensibilité de détection mais nécessite de porter une attention particulière à l'homogénéité du champ magnétique qui, dans notre cas, peut être dégradée en raison de l'introduction du microsystème dans le spectromètre. En effet, les distorsions du champ magnétique, dues aux différentes susceptibilités magnétiques des matériaux constituant la microsonde, ont un impact direct sur la résolution spectrale. C'est pourquoi, une modélisation 3D par éléments finis est proposée afin de prévoir l'influence du microsystème sur la forme des raies spectrales et donc d'en déduire la résolution spectrale pouvant être espérée. La comparaison des résultats expérimentaux et ceux issus des simulations permet de valider le modèle de calcul numérique. Il apparait cependant nécessaire d'inclure le phénomène d'amortissement radiatif afin de pouvoir rendre compte des résultats expérimentaux relatifs à la résolution spectrale effectivement observée.
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Books on the topic "Spin noise signal"

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ICA 2004 (2004 Granada, Spain). Independent component analysis and blind signal separation: Fifth international conference, ICA 2004, Granada, Spain, September 22-24, 2004 : proceedings. Berlin: Springer, 2004.

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ICA 2004 (2004 Granada, Spain). Database and expert systems applications: 5th international conference, ICA 2004, Granada, Spain, September 22-24, 2004 : proceedings. Berlin: Springer, 2004.

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Römer, Heiner. Acoustic communication. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0012.

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This chapter, takes a broad look at insect acoustic communication, by including near-field and far-field sound, as well as substrate vibration, as signals. These mechanical disturbances differ greatly in their physical properties—they propagate in their natural environments over distances that can span from a few millimetres up to several hundred metres. Therefore, background information is provided to understand how the insect sound-emitting systems for the different signals work and in which behavioral contexts they are used. Evidence is also provided to describe the substantial changes signals undergo on their way to receivers, the effects of background noise on communication and how unintended receivers may represent costs in this system. Finally, a short overview of the structure and evolution of the tremendous diversity of sensory receptors is presented.
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(Editor), Carlos G. Puntonet, and Alberto Prieto (Editor), eds. Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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Book chapters on the topic "Spin noise signal"

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Shi, Yilin, Richard W. Quine, George A. Rinard, Laura Buchanan, Sandra S. Eaton, Gareth R. Eaton, Boris Epel, Simone Wanless Seagle, and Howard J. Halpern. "Triarylmethyl Radical OX063d24 Oximetry: Electron Spin Relaxation at 250 MHz and RF Frequency Dependence of Relaxation and Signal-to-Noise." In Advances in Experimental Medicine and Biology, 327–34. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55231-6_43.

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Li, Lili, Hao Luo, He Qi, and Feiyu Wang. "Sensor Fault Diagnosis Method of Bridge Monitoring System Based on FS-LSTM." In Advances in Frontier Research on Engineering Structures, 487–501. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_44.

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AbstractAn improved long-short-term memory neural network (FS-LSTM) fault diagnosis method is proposed based on the problems of damage false alarm, data of health monitoring system incorrect caused by sensor fault in bridge structure health monitoring system. The method is verified by simulating three-span continuous beams to install several sensors and considering the five failures of one sensor, the faults such as: constant, gain, bias, gain linearity bias, and noise. At first, several pieces of white noise data are randomly generated, and each piece of white noise data is applied as a ground pulsation excitation to the structure support, and the acceleration response of the structure at the sensor location is calculated. Simultaneously, each structural response record of each sensor adds white noise with the same signal-to-noise ratio to obtain the test value of each sensor; Secondly, in order to study the generality, except for the five types of faulty sensors in sequence, one sensor is randomly selected from each of the remaining spans, to verify whether there will be a situation where an intact sensor is misdiagnosed as a faulty sensor; Finally, the FS-LSTM network is constructed through the training set to predict the acceleration data, determine the sensor fault threshold, and compare the residual sequence with the fault threshold to diagnose whether the sensor is faulty. The case research of a three-span continuous beam shows that when the above-mentioned five types of faults occur in the sensor, the proposed method can correctly determine whether the sensor is faulty, and it will not be misdiagnosed, which can be used for daily bridge health monitoring. Furthermore, it provides a new method for the maintenance of the bridge health monitoring system.
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MALLINSON, JOHN C. "Read Amplifiers and Signal-to-Noise Ratios." In Magneto-Resistive and Spin Valve Heads, 157–65. Elsevier, 2002. http://dx.doi.org/10.1016/b978-012466627-6/50021-7.

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"Spain." In A Loud but Noisy Signal?, 275–307. Cambridge University Press, 2020. http://dx.doi.org/10.1017/9781108777896.008.

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Adavi, Zohreh, and Robert Weber. "Application of the Total Variation Method in Near Real-Time GNSS Tropospheric Tomography." In International Association of Geodesy Symposia. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/1345_2022_174.

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AbstractGNSS tomography is an all-weather remote sensing technique to capture the spatiotemporal behavior of the atmospheric water vapor using the standing infrastructure of GNSS satellites and networks. In this method, the troposphere is discretized to a finite number of 3D elements (voxel) in horizontal and vertical directions. Then, the wet refractivity in these voxels is reconstructed using the Slant Wet Delay (SWD) observations in the desired tomography domain by means of the discrete inverse concept. Due to the insufficient spatial coverage of GNSS signals in the voxels within the given time window, some of the voxels are intersected by a few signals or plenty of signals, and others are not passed by any signals at all. Therefore, the design matrix is sparse, and the observation equation system of the tomography model is mixed-determined. Some constraints have to be applied or external data sources should be added to the tomography problem in order to reconstruct the wet refractivity field. Moreover, the GNSS tomography is a kind of discrete ill-posed problem, as all singular values of the structure matrix (A) in the tomography problem decay gradually to zero without any noticeable gap in the spectrum. Hence, slight changes in the measurements can lead to extremely unstable parameter solutions. In consequence, the regularization method should be applied to the inversion process and ensure a stable and unique solution for the tomography problem. In this research, the Total Variation (TV) method is suggested to retrieve a regularized solution. TV is a nonlinear technique, which resists noise and efficiently preserves discontinuities in the model. This method can also reconstruct the wet refractivity field without any initial field in a shorter time span. For this purpose, observation data from the EPOSA (Echtzeit Positionierung Austria) GNSS network located in the eastern part of Austria is processed within the period DoYs 232-245 in 2019. Then, the TV method is performed in six different tomography windows (10–60 min) with a time step of 10 min by focusing on near-real-time applications. Finally, radiosonde measurements in the area of interest are utilized to compare the estimated wet refractivity field in order to obtain the accuracy of the proposed method.
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Conference papers on the topic "Spin noise signal"

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Nagal, Rachana, Pradeep Kumar, and Poonam Bansal. "Optimization of Adaptive Noise Canceller with Grey Wolf Optimizer for EEG/ERP Signal Noise Cancellation." In 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2019. http://dx.doi.org/10.1109/spin.2019.8711735.

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Li, Wei. "A spin noise spectrometer based on FPGA." In 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2017. http://dx.doi.org/10.1109/isspit.2017.8388322.

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Joshi, Piyush, and Surya Prakash. "Image quality assessment based on noise detection." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6777055.

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Priya, Devi K., Sasibhushana G. Rao, and Subba Rao PSVS. "A Novel TNN Model for PLI Noise Reduction in ECG Signal." In 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2019. http://dx.doi.org/10.1109/spin.2019.8711654.

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Bansal, Malti, and Jyoti. "Low Noise Amplifier in Smart Healthcare Applications." In 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2019. http://dx.doi.org/10.1109/spin.2019.8711705.

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Vivekanand, V., L. Vidya, U. Shyam Kumar, and Deepak Mishra. "Noise immunity analysis of compressed sensing recovery algorithms." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6776916.

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Sajil, C. K., C. L. Biji, and Achuthsankar S. Nair. "Effect of Transducer Positioning in Active Noise Control." In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474254.

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Mallary, M. L. "Signal to noise comparison between GMR and spin tunneling sensors." In IEEE International Magnetics Conference. IEEE, 1999. http://dx.doi.org/10.1109/intmag.1999.837323.

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Gupta, Meenal, and Amit Garg. "An efficient technique for speckle noise reduction in ultrasound images." In 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2017. http://dx.doi.org/10.1109/spin.2017.8049939.

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Ravi, Bhat Raghavendra, S. P. Deepu, M. Ramesh Kini, and David S. Sumam. "Wavelet based Noise Reduction Techniques for Real Time Speech Enhancement." In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474210.

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Reports on the topic "Spin noise signal"

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Whitecloud, Simone, Holly VerMeulen, Franz Lichtner, Nadia Podpora, Timothy Cooke, Christopher Williams, Michael Musty, Irene MacAllister, and Jason Dorvee. Understanding plant volatiles for environmental awareness : chemical composition in response to natural light cycles and wounding. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45961.

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Plants emit a bouquet of volatile organic compounds (VOCs) in response to both biotic and abiotic stresses and, simultaneously, eavesdrop on emit-ted signals to activate direct and indirect defenses. By gaining even a slight insight into the semantics of interplant communications, a unique aware-ness of the operational environment may be obtainable (e.g., knowledge of a disturbance within). In this effort, we used five species of plants, Arabidopsis thaliana, Panicum virgatum, Festuca rubra, Tradescantia zebrina, and Achillea millefolium, to produce and query VOCs emitted in response to mechanical wounding and light cycles. These plants provide a basis for further investigation in this communication system as they span model organisms, common house plants, and Arctic plants. The VOC com-position was complex; our parameter filtering often enabled us to reduce the noise to fewer than 50 compounds emitted over minutes to hours in a day. We were able to detect and measure the plant response through two analytical methods. This report documents the methods used, the data collected, and the analyses performed on the VOCs to determine if they can be used to increase environmental awareness of the battlespace.
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