Relevant bibliographies by topics / GAUSSIAN GAIN

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'GAUSSIAN GAIN'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "GAUSSIAN GAIN"

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Iparraguirre, I., and T. del Río Gaztelurrutia. "Analytic solutions for Gaussian gain profile resonators." Optics Communications 255, no. 4-6 (November 2005): 241–47. http://dx.doi.org/10.1016/j.optcom.2005.06.020.

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Hartman, Eric, and James D. Keeler. "Predicting the Future: Advantages of Semilocal Units." Neural Computation 3, no. 4 (December 1991): 566–78. http://dx.doi.org/10.1162/neco.1991.3.4.566.

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In investigating gaussian radial basis function (RBF) networks for their ability to model nonlinear time series, we have found that while RBF networks are much faster than standard sigmoid unit backpropagation for low-dimensional problems, their advantages diminish in high-dimensional input spaces. This is particularly troublesome if the input space contains irrelevant variables. We suggest that this limitation is due to the localized nature of RBFs. To gain the advantages of the highly nonlocal sigmoids and the speed advantages of RBFs, we propose a particular class of semilocal activation functions that is a natural interpolation between these two families. We present evidence that networks using these gaussian bar units avoid the slow learning problem of sigmoid unit networks, and, very importantly, are more accurate than RBF networks in the presence of irrelevant inputs. On the Mackey-Glass and Coupled Lattice Map problems, the speedup over sigmoid networks is so dramatic that the difference in training time between RBF and gaussian bar networks is minor. Gaussian bar architectures that superpose composed gaussians (gaussians-of-gaussians) to approximate the unknown function have the best performance. We postulate that an interesing behavior displayed by gaussian bar functions under gradient descent dynamics, which we call automatic connection pruning, is an important factor in the success of this representation.
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Holevo, A. S. "Gaussian classical-quantum channels: Gain from entanglement-assistance." Problems of Information Transmission 50, no. 1 (January 2014): 1–14. http://dx.doi.org/10.1134/s0032946014010013.

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Pyatakhin, M. V. "Gaussian beams in media with transverse gain inhomogeneity." Journal of Russian Laser Research 18, no. 5 (September 1997): 445–63. http://dx.doi.org/10.1007/bf02559669.

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Jirauschek, Christian, and Franz X. Kärtner. "Gaussian pulse dynamics in gain media with Kerr nonlinearity." Journal of the Optical Society of America B 23, no. 9 (September 1, 2006): 1776. http://dx.doi.org/10.1364/josab.23.001776.

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Ibison, M. C., and D. C. Hanna. "Analysis of Raman gain for focussed Gaussian pump beams." Applied Physics B Photophysics and Laser Chemistry 45, no. 1 (January 1988): 37–44. http://dx.doi.org/10.1007/bf00692339.

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Chang, R. J. "Optimal Linear Feedback Control for a Class of Nonlinear Nonquadratic Non-Gaussian Problems." Journal of Dynamic Systems, Measurement, and Control 113, no. 4 (December 1, 1991): 568–74. http://dx.doi.org/10.1115/1.2896459.

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An optimal linear feedback controller designed for a class of nonlinear stochastic systems with nonquadratic performance criteria by a non-Gaussian approach is presented. The non-Gaussian method is developed through expressing the unknown stationary output density function as a weighted sum of the Gaussian densities with undetermined parameters. With the aid of a Gaussian-sum density, the optimal feedback gain for a control system with complete state information is derived. By assuming that the separation principle is valid for the class of stochastic systems, a nonlinear precomputed-gain filter is then implemented. The method is illustrated by a Duffing-type control system and the performance of a linear feedback controller designed through both quadratic and nonquadratic performance indices is compared.
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Molnár, Etele, and Dan Stutman. "Direct Laser-Driven Electron Acceleration and Energy Gain in Helical Beams." Laser and Particle Beams 2021 (May 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/6645668.

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A detailed study of direct laser-driven electron acceleration in paraxial Laguerre–Gaussian modes corresponding to helical beams LG 0 m with azimuthal modes m = 1,2,3,4,5 is presented. Due to the difference between the ponderomotive force of the fundamental Gaussian beam LG 00 and helical beams LG 0 m , we found that the optimal beam waist leading to the most energetic electrons at full width at half maximum is more than twice smaller for the latter and corresponds to a few wavelengths Δ w 0 = 6,11,19 λ 0 for laser powers of P 0 = 0.1 , 1,10 PW. We also found that, for azimuthal modes m ≥ 3 , the optimal waist should be smaller than Δ w 0 < 19 λ 0 . Using these optimal values, we have observed that the average kinetic energy gain of electrons is about an order of magnitude larger in helical beams compared to the fundamental Gaussian beam. This average energy gain increases with the azimuthal index m leading to collimated electrons of a few 100 MeV energy in the direction of the laser propagation.
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Maes, Carl F., and Ewan M. Wright. "Mode properties of an external-cavity laser with Gaussian gain." Optics Letters 29, no. 3 (February 1, 2004): 229. http://dx.doi.org/10.1364/ol.29.000229.

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Filippov, Sergey, and Alena Termanova. "Superior Resilience of Non-Gaussian Entanglement against Local Gaussian Noises." Entropy 25, no. 1 (December 30, 2022): 75. http://dx.doi.org/10.3390/e25010075.

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Entanglement distribution task encounters a problem of how the initial entangled state should be prepared in order to remain entangled the longest possible time when subjected to local noises. In the realm of continuous-variable states and local Gaussian channels it is tempting to assume that the optimal initial state with the most robust entanglement is Gaussian too; however, this is not the case. Here we prove that specific non-Gaussian two-mode states remain entangled under the effect of deterministic local attenuation or amplification (Gaussian channels with the attenuation factor/power gain κi and the noise parameter μi for modes i=1,2) whenever κ1μ22+κ2μ12<14(κ1+κ2)(1+κ1κ2), which is a strictly larger area of parameters as compared to where Gaussian entanglement is able to tolerate noise. These results shift the “Gaussian world” paradigm in quantum information science (within which solutions to optimization problems involving Gaussian channels are supposed to be attained at Gaussian states).
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Dissertations / Theses on the topic "GAUSSIAN GAIN"

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Maes, Carl F. "Transverse mode properties of lasers with Gaussian gain." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289894.

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The modes and beam characteristics of a Gaussian gain laser resonator are analyzed. Such a gain is typically associated with an end pumped solid state laser. The beam propagation method is used to find the eigenmodes. The eigenmodes are non Gaussian in appearance and differ greatly from the modes of the same cavity with a quadratic gain. It is found that the cavity geometry strongly influences mode formation around degenerate cavity geometries throughout a broad range of operational parameters. The beam propagation method is used to evolve the field through the resonator, resulting in computation of the nonorthogonal eigenmodes. This permits evaluation of the excess noise dependence on geometric cavity parameters such as length and focal length. It is shown that the beam quality M² and Petermann K factor are related and are anticorrelated at degeneracies. An explanation is given based on the self Fourier transforming properties of degenerate cavity locations. It is shown how the empty cavity properties of transverse mode degeneracies are not revealed with a quadratic gain, but are strikingly present with a Gaussian gain. A confocal cavity is studied in detail and found to have the property that forces K to unity even in the presence of strong gains and narrow pump widths. The interplay between the diffraction effects of a geometrically stable cavity and the Gaussian gain will be studied to reveal the nature and implications of the non-normal modes encountered.
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Orndorff, Josh. "Amplified Total Internal Reflection at the Surface of Gain Medium." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1365156891.

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Sun, Yifan. "Theory of mode-locked lasers based on non-conventional cavity modes." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASP003.

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Cette thèse de doctorat porte principalement sur la dynamique et la robustesse d’un nouveau concept de verrouillage de mode dans les nanolasers semi-conducteurs ultracompacts. Un tel nanolaser présente des modes ermites-gaussiens créés par une cavité photonique harmonique pour confiner la lumière. Cela permet de mapper la cavité optique en oscillateur harmonique de mécanique quantique, avec des fréquences propres régulièrement espacées, une condition essentielle pour le verrouillage de mode. La période de verrouillage de mode est contrôlée par la conception du potentiel photonique, et non par la longueur de la cavité. Les régimes non linéaires possibles sont décrits par l’équation de Gross-Pitaevskii avec un potentiel parabolique et des termes non linéaires décrivant le gain et l’absorption. Pour étudier ces comportements dynamiques, des simulations numériques directes sont principalement mises en œuvre. Tout d’abord, la compétition de mode pour le gain entre les modes ermites et gaussiens en l’absence d’absorption saturable est étudiée. Deuxièmement, on prévoit que le verrouillage des modes se produira avec une saturation instantanée du gain et de l’absorption sur un large éventail de paramètres, correspondant à l’émergence d’une soliton dissipative. Troisièmement, dans le régime de saturation non instantanée du gain et de l’absorption, différents comportements dynamiques du nanolaser sont obtenus en faisant varier le gain et l’absorption. Ces différents régimes, y compris la commutation Q, le verrouillage de mode à commutation Q et le verrouillage de mode CW, sont décrits en détail. L’influence du facteur Henry sur le verrouillage de mode est également abordée. Quatrièmement, la robustesse du verrouillage de mode des modes ermite et gaussien au désordre de la cavité harmonique est étudiée en détail, y compris l’effet de la non-parabolicité du potentiel et les erreurs aléatoires dans la forme du potentiel
This PhD thesis mainly addresses the dynamics and the robustness of a novel concept of mode locking in ultracompact semiconductor nanolasers. Such a nanolaser exhibits Hermite-Gaussian modes created by a harmonic photonic cavity to confine light. This maps the optical cavity into quantum mechanical harmonic oscillator, with evenly spaced eigenfrequencies, an essential requirement for mode locking. The possible nonlinear regimes are described by the Gross-Pitaevskii equation with a parabolic potential and nonlinear terms describing gain and absorption. To investigate these dynamical behaviors, direct numerical simulations are mainly implemented. Continuation calculations are also performed using pde2path.First, the mode competition for gain among Hermite-Gaussian modes in the absence of saturable absorption is investigated and shown to be very different from usual resonators.Second, mode locking is predicted to occur with instantaneous saturation of gain and absorption over a broad range of parameters, corresponding to the emergence of dissipative soliton and multisoliton solutions. The mode locking period is controlled by the design of the photonic potential, and not by the cavity length. The dissipative soliton is well described by the coherent state of a quantum mechanical oscillator, namely a Gaussian envelope oscillating without deformation.Third, in the regime of noninstantaneous gain and absorption saturation, different dynamical behaviors of the nanolaser are obtained by varying the gain and the absorption. These different regimes, including Q-switching, Q-switched mode locking, and CW mode locking, are described in detail, illustrating the rich physics of this nonlinear system. The influence of the Henry factor on the mode locking is also discussed. Moreover, similar dynamical behaviors using spatially separated gain and absorber sections inside the cavity are obtained.Fourth, the robustness of mode locking of the Hermite-Gaussian modes to the disorder of the harmonic cavity is investigated in details. It includes the effect of non-parabolicity of the potential and the random errors in the shape of the potential
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Jaskowak, Daniel Joseph. "Detecting Transient Changes in Gait Using Fractal Scaling of Gait Variability in Conjunction with Gaussian Continuous Wavelet Transform." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87393.

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Accelerometer data can be analyzed using a variety of methods which are effective in the clinical setting. Time-series analysis is used to analyze spatiotemporal variables in various populations. More recently, investigators have focused on gait complexity and the structure of spatiotemporal variations during walking and running. This study evaluated the use of time-series analyses to determine gait parameters during running. Subjects were college-age female soccer players. Accelerometer data were collected using GPS-embedded trunk-mounted accelerometers. Customized Matlab® programs were developed that included Gaussian continuous wavelet transform (CWT) to determine spatiotemporal characteristics, detrended fluctuation analysis (DFA) to examine gait complexity and autocorrelation analyses (ACF) to assess gait regularity. Reliability was examined using repeated running efforts and intraclass correlation. Proof of concept was determined by examining differences in each variable between various running speeds. Applicability was established by examining gait before and after fatiguing activity. The results showed most variables had excellent reliability. Test-retest R2 values for these variables ranged from 0.8 to 1.0. Low reliability was seen in bilateral comparisons of gait symmetry. Increases in running speed resulted in expected changes in spatiotemporal and acceleration variables. Fatiguing exercise had minimal effects on spatiotemporal variables but resulted in noticeable declines in complexity. This investigation shows that GPS-embedded trunk-mounted accelerometers can be effectively used to assess running gait. CWT and DFA yield reliable measures of spatiotemporal characteristics of gait and gait complexity. The effects of running speed and fatigue on these variables provides proof of concepts and applicability for this analytical approach.
Master of Science
Fitness trackers have become widely accessible and easy to use. So much so that athletic teams have been using them to track activity throughout the season. Researchers are able to manipulate data generated from the fitness monitors to assess many different variables including gait. Monitoring gait may generate important information about the condition of the individual. As a person fatigues, running form is theorized to breakdown, which increases injury risk. Therefore the ability to monitor gait may be advantageous in preventing injury. The purpose of this study is to show that the methods in this study are reproducible, respond reasonably to changes in speed, and to observe the changes of gait in the presence of fatigue or on tired legs. Three analyses are used in this study. The first method called autocorrelation, overlays acceleration signals of consecutive foot strikes, and determines the similarity between them. The second method utilizes a wave transformation technique that is able to determine foot contact times. The final method attempts to determine any pattern in the running stride. This method looks for changes in the structure of the pattern. Less structure would indicate a stride that is fatigued. The results showed that the methods of gait analysis used in this study were reproducible and responded appropriately with changes in speed. Small changes in gait were observed due to the presence of fatigue. Further investigation into the use of these methods to determine changes in gait due to the presence of fatigue are warranted.
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Saad, Ali. "Detection of Freezing of Gait in Parkinson's disease." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0029/document.

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Le risque de chute provoqué par le phénomène épisodique de ‘Freeze of Gait’ (FoG) est un symptôme commun de la maladie de Parkinson. Cette étude concerne la détection et le diagnostic des épisodes de FoG à l'aide d'un prototype multi-capteurs. La première contribution est l'introduction de nouveaux capteurs (télémètres et goniomètres) dans le dispositif de mesure pour la détection des épisodes de FoG. Nous montrons que l'information supplémentaire obtenue avec ces capteurs améliore les performances de la détection. La seconde contribution met œuvre un algorithme de détection basé sur des réseaux de neurones gaussiens. Les performance de cet algorithme sont discutées et comparées à l'état de l'art. La troisième contribution est développement d'une approche de modélisation probabiliste basée sur les réseaux bayésiens pour diagnostiquer le changement du comportement de marche des patients avant, pendant et après un épisode de FoG. La dernière contribution est l'utilisation de réseaux bayésiens arborescents pour construire un modèle global qui lie plusieurs symptômes de la maladie de Parkinson : les épisodes de FoG, la déformation de l'écriture et de la parole. Pour tester et valider cette étude, des données cliniques ont été obtenues pour des patients atteints de Parkinson. Les performances en détection, classification et diagnostic sont soigneusement étudiées et évaluées
Freezing of Gait (FoG) is an episodic phenomenon that is a common symptom of Parkinson's disease (PD). This research is headed toward implementing a detection, diagnosis and correction system that prevents FoG episodes using a multi-sensor device. This particular study aims to detect/diagnose FoG using different machine learning approaches. In this study we validate the choice of integrating multiple sensors to detect FoG with better performance. Our first level of contribution is introducing new types of sensors for the detection of FoG (telemeter and goniometer). An advantage in our work is that due to the inconsistency of FoG events, the extracted features from all sensors are combined using the Principal Component Analysis technique. The second level of contribution is implementing a new detection algorithm in the field of FoG detection, which is the Gaussian Neural Network algorithm. The third level of contribution is developing a probabilistic modeling approach based on Bayesian Belief Networks that is able to diagnosis the behavioral walking change of patients before, during and after a freezing event. Our final level of contribution is utilizing tree-structured Bayesian Networks to build a global model that links and diagnoses multiple Parkinson's disease symptoms such as FoG, handwriting, and speech. To achieve our goals, clinical data are acquired from patients diagnosed with PD. The acquired data are subjected to effective time and frequency feature extraction then introduced to the different detection/diagnosis approaches. The used detection methods are able to detect 100% of the present appearances of FoG episodes. The classification performances of our approaches are studied thoroughly and the accuracy of all methodologies is considered carefully and evaluated
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Narozny, Michel. "Analyse en composantes indépendantes et compression de données." Paris 11, 2005. http://www.theses.fr/2005PA112268.

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Dans cette thèse nous nous intéressons à l'analyse en composantes indépendantes (ACI) lorsqu'elle est utilisée en compression de données. Nous montrons d'abord que tes transformations d'ACI sont moins performantes que la transformée de Karhunen-Loève (TKL) en codage d'images en niveaux de gris et d'un signal musical, mais plus performantes que la TKL sur certains signaux synthétiques. Dans le cas d'un codage à haut et moyen débits (respectivement bas débit), le débit de compression est obtenu en calculant l'entropie d'ordre 1 (respectivement d'ordre 2,4 et 9) des coefficients transformés. La mesure de distorsion utilisée est l'erreur quadratique moyenne entre le signal d'entrée et le signal décodé. Ensuite nous montrons que pour des signaux non gaussiens la recherche de la transformation linéaire optimale peut se ramener à un problème d'ACI modifié. Deux nouveaux algorithmes, GCGsup et ICAorth, sont proposés pour calculer la transformation linéaire optimale et la transformation orthogonale optimale respectivement. Dans nos simulations, nous montrons qu'il existe des images en niveaux de gris et des signaux synthétiques qui sont codés plus efficacement avec GCGsup et ICAorth qu'avec la TKL. Enfin, nous nous intéressons également à un schéma de codage d'images multicomposantes associant des décompositions en ondelettes pour la décorrélation spatiale avec les transformations retournées par GCGsup et ICAorth pour réduire la redondance spectrale. Dans ce cas, nous n'avons pas eu le temps de trouver des images multicomposantes pour lesquelles les nouvelles transformation permettent d'obtenir des gains de codage significatifs par rapport à la TKL
In this thesis we are interested in the performances of independent component analysis (ICA) when it is used for data compression. First we show that the ICA transformations yield poor performances compared to the Karhunen-Loeve transform (KIT) for the coding of some continuous-tone images and a musical signal, but can outperform the KTL on some synthetic signals. In medium-to-high (resp. Low) bit rate coding, the bit-rate measured is the empirical first (resp. Second, fourth and ninth) order entropy. The mean square error between the original signal and that reconstructed is used for the evaluation of the distortion. Then we show that for non Gaussian signals the problem of finding the optimal linear transform in transform coding is equivalent to finding the solution of a modified ICA problem. Two new algorithms, GCGsup and ICAorth, are then proposed to compute the optimal linear transform and the optimal orthogonal transform, respectively. In our simulations, we show that GCGsup and ICAorth can outperform the KLT or some continuous-tone images and some synthetic signals. Finally, we are also interested in a multicomponent images coding scheme which employs a wavelet transform for reducing the spatial redundancy and the transformations returned by GCGsup et ICAorth for reducing the spectral redundancy. In this case, further work has to be done in order to find some images whose compression using the new transforms is significantly better than that obtained with the TKL
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Rönnby, Karl. "Quantum Chemical Feasibility Study of Methylamines as Nitrogen Precursors in Chemical Vapor Deposition." Thesis, Linköpings universitet, Kemi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132812.

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The possibility of using methylamines instead of ammonia as a nitrogen precursor for the CVD of nitrides is studied using quantum chemical computations of reaction energies: reaction electronic energy (Δ𝑟𝐸𝑒𝑙𝑒𝑐) reaction enthalpy (Δ𝑟𝐻) and reaction free energy (Δ𝑟𝐺). The reaction energies were calculated for three types of reactions: Uni- and bimolecular decomposition to more reactive nitrogen species, adduct forming with trimethylgallium (TMG) and trimethylaluminum (TMA) followed by a release of methane or ethane and surface adsorption to gallium nitride for both the unreacted ammonia or methylamines or the decomposition products. The calculations for the reaction entropy and free energy were made at both STP and CVD conditions (300°C-1300°C and 50 mbar). The ab inito Gaussian 4 (G4) theory were used for the calculations of the decomposition and adduct reactions while the surface adsorptions were calculated using the Density Functional Theory method B3LYP. From the reactions energies it can be concluded that the decomposition was facilitated by the increasing number of methyl groups on the nitrogen. The adducts with mono- and dimethylamine were more favorable than ammonia and trimethylamine. 𝑁𝐻2 was found to be most readily to adsorb to 𝐺𝑎𝑁 while the undecomposed ammonia and methylamines was not willingly to adsorb.
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SHARMA, MONIKA. "AUTOMATED TEXTURE DEFECT DETECTION USING THE NON-EXTENSIVE ENTROPY WITH GAUSSIAN GAIN." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14881.

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Inefficient processes in industries can cost a lot of time, money and customer satisfaction. Quality assurance is a very important aspect for industries. As a result, to improve their processes and become more efficient at the global level, they have started to automate their certain tasks for which humans were generally considered to perform them. And one such popular task is Industrial Inspection . As a result, intelligent visual inspection systems are developed to ensure high quality of products in production lines. Advancement in image processing and computer vision techniques has led to the development of Automated Visual Inspection Systems. These systems are required in industries to inspect the manufactured products, so as to identify any discrepancies in them. Thus, they play an important role in industries by ensuring that only good quality products enter into the market because selling defective products in market can lead to large losses for goods manufacturing industry. One such industry is Textile Industry where these systems are of great importance. They identify defects occurring in textile cloth. Several algorithms have been developed based on different approaches so as to identify defects in texture patterns. Presence of complex defects is a major hurdle for many such algorithms and that is why new ideas keep on emerging to develop more efficient algorithms which can identify such type of defects in texture patterns. On the same lines, this major project report presents a new algorithm based on a new approach to identify complex defects in texture in a more efficient and accurate manner.
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Kouh, Minjoon, and Tomaso Poggio. "A general mechanism for tuning: Gain control circuits and synapses underlie tuning of cortical neurons." 2004. http://hdl.handle.net/1721.1/30512.

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Tuning to an optimal stimulus is a widespread property of neurons in cortex. We propose that such tuning is a consequence of normalization or gain control circuits. We also present a biologically plausible neural circuitry of tuning.
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Safari, Majid. "Relay-Assisted Free-Space Optical Communications." Thesis, 2011. http://hdl.handle.net/10012/5752.

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The atmospheric lightwave propagation is considerably influenced by the random variations in the refractive index of air pockets due to turbulence. This undesired effect significantly degrades the performance of free-space optical (FSO) communication systems. Interestingly, the severity of such random degradations is highly related to the range of atmospheric propagation. In this thesis, we introduce relay-assisted FSO communications as a very promising technique to combat the degradation effects of atmospheric turbulence. Considering different configurations of the relays, we quantify the outage behavior of the relay-assisted system and identify the optimum relaying scheme. We further optimize the performance of the relay-assisted FSO system subject to some power constraints and provide optimal power control strategies for different scenarios under consideration. Moreover, an application of FSO relaying technique in quantum communications is investigated. The results demonstrate impressive performance improvements for the proposed relay-assisted FSO systems with respect to the conventional direct transmission whether applied in a classical or a quantum communication channel.
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Book chapters on the topic "GAUSSIAN GAIN"

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Tevar, Niraj, Vedvyas Dwivedi, and Prarthan Mehta. "Multi-object Optimization of Corrugated Horn Antenna with Gaussian Profile Using Genetic Algorithm with High Gain for W Band." In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, 727–39. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6407-6_62.

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Álvarez, Lorena, Enrique Alexandre, Cosme Llerena, Roberto Gil-Pita, and Lucas Cuadra. "Speech Enhancement in Noisy Environments in Hearing Aids Driven by a Tailored Gain Function Based on a Gaussian Mixture Model." In Artificial Intelligence and Soft Computing, 503–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38658-9_45.

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Tilmanne, Joëlle, and Thierry Dutoit. "Expressive Gait Synthesis Using PCA and Gaussian Modeling." In Motion in Games, 363–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16958-8_34.

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Zhang, Yuan, and Shexiang Ma. "Power Allocation for Cooperative Communication of Gaussian Channel Gains." In Lecture Notes in Electrical Engineering, 1416–22. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2386-6_189.

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Castro, Pablo A. D., and Fernando J. Von Zuben. "GAIS: A Gaussian Artificial Immune System for Continuous Optimization." In Lecture Notes in Computer Science, 171–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14547-6_14.

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Long, Yi, Zhi-jiang Du, Wei Dong, and Wei-dong Wang. "Human Gait Trajectory Learning Using Online Gaussian Process for Assistive Lower Limb Exoskeleton." In Wearable Sensors and Robots, 165–79. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2404-7_14.

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Bortoletto, Roberto, Stefano Michieletto, Enrico Pagello, and Davide Piovesan. "Human Muscle-Tendon Stiffness Estimation During Normal Gait Cycle Based on Gaussian Mixture Model." In Intelligent Autonomous Systems 13, 1185–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_86.

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Arora, Parul, Smriti Srivastava, and Shivank Singhal. "Analysis of Gait Flow Image and Gait Gaussian Image Using Extension Neural Network for Gait Recognition." In Deep Learning and Neural Networks, 429–49. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch025.

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This paper proposes a new technique to recognize human gait by combining model free feature extraction approaches and a classifier. Gait flow image (GFI) and gait Gaussian image (GGI) are the two feature extraction techniques used in combination with ENN. GFI is a gait period based technique, uses optical flow features. So it directly focuses on dynamic part of human gait. GGI is another gait period based technique, computed by applying Gaussian membership function on human silhouettes. Next, ENN has been used as a classifier which combines the extension theory and neural networks. All the study has been done on CASIA-A and OU-ISIR treadmill B databases. The results derived using ENN are compared with SVM (support vector machines) and NN (Nearest neighbor) classifiers. ENN proved to give good accuracy and less iteration as compared to other traditional methods.
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Cañón-Tapia, Edgardo. "Volcano distribution and tectonics: A planetoidic perspective." In In the Footsteps of Warren B. Hamilton: New Ideas in Earth Science. Geological Society of America, 2022. http://dx.doi.org/10.1130/2021.2553(08).

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ABSTRACT Volcanic activity is ultimately controlled by processes that take place many kilometers beneath the surface of a planet. The deeper processes are unlikely to reach the surface without some degree of modification at shallower levels. Nevertheless, traces of those deeper processes may still be found when examining the final products at the surface. In this work, it is shown that it is possible to gain insights concerning the integrated contribution of deep structures through the study of the spatial distribution of volcanic vents at the surface. The method here described relies on the systematic use of increasing smoothing factors in Gaussian kernel estimations. The sequences of probability density functions thus generated are equivalent to images obtained with an increasing wavelength, which therefore have the power to penetrate deeper below the surface. Although the resolution of this method is much smaller than the resolution provided by seismic or other geophysical surveys, it has the advantages of ease of implementation, extremely low cost, and remote application. Thus, the reported method has great value as a first-order exploration tool to investigate the deep structure of a planet, and it can make important contributions to our understanding of the volcano-tectonic relationship, not only on Earth, but also across the various bodies of the solar system where volcanic activity has been documented.
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Fan, Guoliang, and Xin Zhang. "Gaussian Process-based Manifold Learning for Human Motion Modeling." In Intelligent Data Analysis for Real-Life Applications, 283–308. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1806-0.ch015.

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This chapter studies the human walking motion that is unique for every individual and could be used for many medical and biometric applications. The authors’ goal is to develop a general low-dimensional (LD) model from of a set of high-dimensional (HD) motion capture (MoCap) data acquired from different individuals, where there are two main factors involved, i.e., pose (a specific posture in a walking cycle) and gait (a specific walking style). Many Gaussian process (GP)-based manifold learning methods have been proposed to explore a compact LD manifold embedding for motion representation where only one factor (i.e., pose) is normally revealed explicitly with the other factor (i.e., gait) implicitly or independently treated. The authors recently proposed a new GP-based joint gait-pose manifold (JGPM) that unifies these two variables into one manifold structure to capture the coupling effect between them. As the result, JGPM is able to capture the motion variability both across different poses and among multiple gaits (i.e., individuals) simultaneously. In order to show advantages of joint modeling of combining the two factors in one manifold, they develop a validation technique to compare JGPM with recent GP-based methods in terms of their capability of motion interpolation, extrapolation, denoising, and recognition. The experimental results further demonstrate advantages of the proposed JGPM for human motion modeling.
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Conference papers on the topic "GAUSSIAN GAIN"

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Rusu, Corneliu, and Lacrimioara Grama. "Gain-phase relationships evaluation by Gaussian quadrature." In 2008 International Conference on Signals and Electronic Systems. IEEE, 2008. http://dx.doi.org/10.1109/icses.2008.4673347.

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La Porta, A., and R. E. Slusher. "High-gain spatial distortion limits for squeezing and quantum measurement." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.fbb1.

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The single-pass parametric downconver- sion amplifier is a simple optical arrangement that is useful for squeezed-light noise reduction and quantum nondemolition measurement.1 This device is pumped by a beam with a Gaussian spatial mode profile and acts on an input mode with a corresponding spatial profile. High parametric gain is required to achieve large squeezed noise reduction or accurate quantum measurement of a quadrature component of an input field. At large gains (>3 dB) the spatial variation of the pump field causes the parametrically amplified and deamplified quadrature field components to assume strongly non-Gaussian spatial profiles and to be distorted significantly with respect to each other. We analyze this distortion in the classical limit for an input beam with Gaussian profile and find that the gain measured by homodyne or direct detection differs from the low-gain limit. In the quantum limit, the case of squeezing is considered. It is shown that, in addition to the classical modifications, noise from higherorder spatial modes are coupled into the Gaussian mode, which is measured by a homodyne detection scheme using a Gauss- ian-profile local-oscillator beam. This high- gain mode-coupling process limits the degree of squeezing that can be obtained and the accuracy for quantum nondemolition measurement.
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Lin, Fuchun, and Frederique Oggier. "Secrecy gain of Gaussian wiretap codes from unimodular lattices." In 2011 IEEE Information Theory Workshop (ITW). IEEE, 2011. http://dx.doi.org/10.1109/itw.2011.6089529.

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Fujinami, Tesshu, Junya Yamauchi, Marco Omainska, and Masayuki Fujita. "Gaussian Process-based Visual Pursuit Control with Automatic Gain Tuning." In 2022 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2022. http://dx.doi.org/10.1109/ccta49430.2022.9966033.

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Drühl, Kai J. "Solutions of the Raman wave equation for focused pump beams." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.tua7.

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We solve the wave equation for stimulated Raman and Brillouin scattering from Gaussian pump beams by a transformation to a system of coexpanding and contracting coordinates in which the pump beam has constant radius. The resulting equation has a quadratic potential term and is equivalent to the Schrödinger equation for a harmonic oscillator in two dimensions. If the typical gain length is small compared to the Rayleigh range of the pump, the decrease of pump intensity away from the center will lead to strong narrowing of the amplified Stokes beam. The pump intensity distribution can then be expanded to second order in the radius about the center. In this approximation the wave equation can be solved exactly by Gaussians for arbitrary Gaussian initial Stokes fields. A lowest-order mode is found whose radius is narrower than the pump radius by about the inverse fourth root of the gain. For almost all initial Gaussian fields the amplified Stokes beam develops into this stationary mode. By transforming back to laboratory coordinates simple closed-form expressions for Stokes beam divergence and apparent location of the waist are found. Results agree very well with numerical calculations and recent experimental observations.
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Wei, Jing, Shifeng Ou, Suojin Shen, and Ying Gao. "Laplacian-Gaussian mixture based dual-gain wiener filter for speech enhancement." In 2016 IEEE International Conference on Signal and Image Processing (ICSIP). IEEE, 2016. http://dx.doi.org/10.1109/siprocess.2016.7888321.

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Lin, Fuchun, and Frederique Oggier. "Secrecy gain of Gaussian wiretap codes from 2- and 3-modular lattices." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283577.

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Yang, Shiyong, Tao Jiang, and Yang Cao. "Capacity region of Gaussian cognitive broadcast channel in low-interference-gain regime." In 2012 1st IEEE International Conference on Communications in China (ICCC). IEEE, 2012. http://dx.doi.org/10.1109/iccchina.2012.6356885.

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Balictsis, Constantinos M. "Unified Description of Gaussian Pulse Propagation in a Lorentz-Type Gain Medium." In Frontiers in Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/fio.2012.fw3a.4.

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Trimarchi, Biagio, Lorenzo Gentilini, Fabrizio Schiano, and Lorenzo Marconi. "Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors." In 2023 American Control Conference (ACC). IEEE, 2023. http://dx.doi.org/10.23919/acc55779.2023.10156223.

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