Relevant bibliographies by topics / Noisy feedback

Academic literature on the topic 'Noisy feedback'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Noisy feedback"

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Lam, V. M. T., C. R. Poole, and P. C. L. Yip. "Exact noise figure of a noisy two-port with feedback." IEE Proceedings G Circuits, Devices and Systems 139, no. 4 (1992): 473. http://dx.doi.org/10.1049/ip-g-2.1992.0074.

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Sworder, D. D., and D. S. Chou. "Feedforward/Feedback Controls in a Noisy Environment." IEEE Transactions on Systems, Man, and Cybernetics 16, no. 4 (July 1986): 522–31. http://dx.doi.org/10.1109/tsmc.1986.289255.

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Lurie, O. J. "Feedback representation of a noisy two-port." Proceedings of the IEEE 74, no. 1 (1986): 221–22. http://dx.doi.org/10.1109/proc.1986.13438.

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Goldobin, D., M. Rosenblum, and A. Pikovsky. "Coherence of noisy oscillators with delayed feedback." Physica A: Statistical Mechanics and its Applications 327, no. 1-2 (September 2003): 124–28. http://dx.doi.org/10.1016/s0378-4371(03)00463-1.

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Grossman, Zachary, and David Owens. "An unlucky feeling: Overconfidence and noisy feedback." Journal of Economic Behavior & Organization 84, no. 2 (November 2012): 510–24. http://dx.doi.org/10.1016/j.jebo.2012.08.006.

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Zhang, Liangyin, Michael Z. Q. Chen, Chanying Li, and Zhan Shu. "Event-Triggered Control Over Noisy Feedback Channels." IFAC Proceedings Volumes 47, no. 3 (2014): 10493–98. http://dx.doi.org/10.3182/20140824-6-za-1003.00335.

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Draper, Stark C., and Anant Sahai. "Variable-length channel coding with noisy feedback." European Transactions on Telecommunications 19, no. 4 (2008): 355–70. http://dx.doi.org/10.1002/ett.1288.

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Burnashev, M. V., and H. Yamamoto. "On using noisy feedback in a Gaussian channel." Problems of Information Transmission 50, no. 3 (July 2014): 217–31. http://dx.doi.org/10.1134/s0032946014030028.

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Olmstead, Anne J., Navin Viswanathan, Jacqueline M. Albor, and Olivia A. Billetdeaux. "Perceptual training affects linguistic release from masking." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A276. http://dx.doi.org/10.1121/10.0011323.

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Understanding speech in noisy conditions is a problem faced by all listeners. Previous studies have shown that listeners understand target speech better when background speech (masker) is in a different language. This is called Linguistic Release from Masking (LRM). In the current study, we examined whether training on identifying speech in noisy conditions can modulate LRM. In a pre-test/training/post-test design, 60 monolingual American English listeners transcribed English sentences presented in noisy backgrounds. In the pre-test and post-test, all listeners transcribed sentences presented with both English and Dutch maskers without feedback. During training, participants were randomly assigned to transcribe target sentences with Dutch, English, or white noise maskers and received feedback. Results showed an LRM effect in the pre-test; participants transcribed the target sentences better with a Dutch than with an English masker. After training, participants improved in all conditions, but greater improvements in the English masker condition eliminated LRM. Results provide insight into the role of perceptual learning as well as into the nature of informational masking effects underlying LRM. This study serves as a basis for future research examining improvement for speech in speech recognition and changes in LRM.
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Li, Gai, Liyang Wang, and Weihua Ou. "Robust Personalized Ranking from Implicit Feedback." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 01 (December 30, 2015): 1659001. http://dx.doi.org/10.1142/s0218001416590011.

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In this paper, we investigate the problem of personalized ranking from implicit feedback (PRIF). It is a more common scenario (e.g. purchase history, click log and page visitation) in recommender systems. The training data are only binary in these problems, reflecting the users’ actions or inactions. One shortcoming of previous PRIF algorithms is noise sensitivity: outliers in training data might bring significant fluctuations in the training process and lead to inaccuracy of the algorithm. In this paper, we propose two robust PRIF algorithms to solve the noise sensitivity problem of existing PRIF algorithms by using the pairwise sigmoid and pairwise fidelity loss functions. These two pairwise loss functions are flexible and can easily be adopted by popular collaborative filtering models such as the matrix factorization (MF) model and the K-nearest-neighbor (KNN) model. A learning process based on stochastic gradient descent with bootstrap sampling is utilized for the optimization. Experiments are conducted on practical datasets containing noisy data points or outliers. Results demonstrate that the proposed algorithms outperform several state-of-the-art one class collaborative filtering (OCCF) algorithms on both the MF and KNN models over different evaluation metrics.
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Dissertations / Theses on the topic "Noisy feedback"

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Quintero, Florez Victor. "Noisy channel-output feedback in the interference channel." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI128/document.

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Dans cette thèse, le canal Gaussien à interférence à deux utilisateurs avec voie de retour dégradée par un bruit additif (GIC-NOF) est étudié sous deux perspectives : les réseaux centralisés et décentralisés. Du point de vue des réseaux centralisés, les limites fondamentales du GIC-NOF sont caractérisées par la région de capacité. L’une des principales contributions de cette thèse est une approximation à un nombre constant de bits près de la région de capacité du GIC-NOF. Ce résultat est obtenu grâce à l’analyse d’un modèle de canal plus simple, le canal linéaire déterministe à interférence à deux utilisateurs avec voie de retour dégradée par un bruit additif (LDIC-NOF). L’analyse pour obtenir la région de capacité du LDIC-NOF fournit les idées principales pour l’analyse du GIC-NOF. Du point de vue des réseaux décentralisés, les limites fondamentales du GIC-NOF sont caractérisées par la région d’η-équilibre de Nash (η-EN). Une autre contribution de cette thèse est une approximation de la région η-EN du GIC-NOF, avec η > 1. Comme dans le cas centralisé, le cas décentralisé LDIC-NOF (D-LDIC-NOF) est étudié en premier et les observations sont appliquées dans le cas décentralisé GIC-NOF (D-GIC-NOF). La contribution finale de cette thèse répond à la question suivante : “À quelles conditions la voie de retour permet d’agrandir la région de capacité, la région η-EN du GIC-NOF ou du D-GIC-NOF ? ”. La réponse obtenue est de la forme : L’implémentation de la voie de retour de la sortie du canal dans l’émetteur-récepteur i agrandit la région de capacité ou la région η-EN si le rapport signal sur bruit de la voie de retour est supérieure à SNRi* , avec i ∈ {1, 2}. La valeur approximative de SNRi* est une fonction de tous les autres paramètres du GIC-NOF ou du D-GIC-NOF
In this thesis, the two-user Gaussian interference channel with noisy channel-output feedback (GIC-NOF) is studied from two perspectives: centralized and decentralized networks. From the perspective of centralized networks, the fundamental limits of the two-user GICNOF are characterized by the capacity region. One of the main contributions of this thesis is an approximation to within a constant number of bits of the capacity region of the two-user GIC-NOF. This result is obtained through the analysis of a simpler channel model, i.e., a two-user linear deterministic interference channel with noisy channel-output feedback (LDIC-NOF). The analysis to obtain the capacity region of the two-user LDIC-NOF provides the main insights required to analyze the two-user GIC-NOF. From the perspective of decentralized networks, the fundamental limits of the two-user decentralized GIC-NOF (D-GIC-NOF) are characterized by the η-Nash equilibrium (η-NE) region. Another contribution of this thesis is an approximation of the η-NE region of the two-user GIC-NOF, with η> 1. As in the centralized case, the two-user decentralized LDIC-NOF (D-LDIC-NOF) is studied first and the lessons learnt are applied in the two-user D-GIC-NOF. The final contribution of this thesis consists in a closed-form answer to the question: “When does channel-output feedback enlarge the capacity or η-NE regions of the two-user GIC-NOF or two-user D-GIC-NOF?”. This answer is of the form: Implementing channel-output feedback in transmitter-receiver i enlarges the capacity or η-NE regions if the feedback SNR is beyond SNRi* , with i ∈ {1, 2}. The approximate value of SNRi* is shown to be a function of all the other parameters of the two-user GIC-NOF or two-user D-GIC-NOF
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Sollund, Tomas. "Dirty-paper coding over noisy feedback channels with ISI." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97783.

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This work generalizes the Liu and Elia dirty-paper coding scheme to include feedback channels with additive white Gaussian noise (AWGN) and intersymbol interference (ISI). An optimal scheme is derived which achieves lossless interference cancellation, performs arbitrarily close to the feedback capacity for a fixed encoder dimension, and yields a probability of error which decays to zero doubly exponentially with the number of channel uses. This scheme is further modified to mitigate inherent numerical instability problems, avoiding the need to solve a non-convex optimization problem, and at the same time minimizing the coding delay for a given probability of symbol error, at a cost of larger transmission power. Noise and parametric model uncertainties for the channels are considered, and knowledge of upper bounds on the noise variances are shown to yield a guaranteed performance level for the coding scheme, where the performance measures are probability of symbol error vs. number of channel uses, as well as probability of symbol error vs. signal-to-noise ratio (SNR). Computer simulations are conducted to validate the results.
Cette thèse généralise la technique du Dirty Paper Coding de Liu et Elia en incluant un canal de renvoi avec bruit blanc Gaussien additif (BBGA) et brouillage intersymbole. Il en découle une approche optimale qui permet l’élimination sans perte de l’interférence et dont la performance peut être aussi proche que voulue de la capacité du model avec renvoi pour une taille de codeur donnée. De plus, la probabilité d’erreur associée à cette technique décroît doublement exponentiellement vers zéro en fonction du nombre d’usages du canal. Une modification additionnelle est apportée à notre algorithme pour éviter de résoudre un problème d’optimisation non-convexe tout en minimisant le délai de codage pour une probabilité d’erreur de symbole donnée, et ceci au prix d’un accroissement de la puissance de transmission requise. Cette modification permet en outre de rendre l’algorithme plus robuste face aux divers problèmes d’instabilités numériques. En prenant en compte aussi bien le bruit que les incertitudes du modèle paramétrique du canal, nous montrons que le fait de connaître les limites supérieures des variances du bruit, permet de garantir un certain niveau de performance pour la technique de codage. Ici les mesures de performance sont la probabilité d’erreur de symbole en fonction du nombre d’usages du canal et la probabilité d’erreur de symbole en fonction du rapport signal-bruit. Des simulations par ordinateur sont ensuite conduites pour valider nos résultats.
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Nagasubramanian, Karthik. "Code design for erasure channels with limited or noisy feedback." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2065.

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Tukhlina, Natalia. "Feedback control of complex oscillatory systems." Phd thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/1854/.

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In the present dissertation paper an approach which ensures an efficient control of such diverse systems as noisy or chaotic oscillators and neural ensembles is developed. This approach is implemented by a simple linear feedback loop. The dissertation paper consists of two main parts. One part of the work is dedicated to the application of the suggested technique to a population of neurons with a goal to suppress their synchronous collective dynamics. The other part is aimed at investigating linear feedback control of coherence of a noisy or chaotic self-sustained oscillator. First we start with a problem of suppressing synchronization in a large population of interacting neurons. The importance of this task is based on the hypothesis that emergence of pathological brain activity in the case of Parkinson's disease and other neurological disorders is caused by synchrony of many thousands of neurons. The established therapy for the patients with such disorders is a permanent high-frequency electrical stimulation via the depth microelectrodes, called Deep Brain Stimulation (DBS). In spite of efficiency of such stimulation, it has several side effects and mechanisms underlying DBS remain unclear. In the present work an efficient and simple control technique is suggested. It is designed to ensure suppression of synchrony in a neural ensemble by a minimized stimulation that vanishes as soon as the tremor is suppressed. This vanishing-stimulation technique would be a useful tool of experimental neuroscience; on the other hand, control of collective dynamics in a large population of units represents an interesting physical problem. The main idea of suggested approach is related to the classical problem of oscillation theory, namely the interaction between a self-sustained (active) oscillator and a passive load (resonator). It is known that under certain conditions the passive oscillator can suppress the oscillations of an active one. In this thesis a much more complicated case of active medium, which itself consists of thousands of oscillators is considered. Coupling this medium to a specially designed passive oscillator, one can control the collective motion of the ensemble, specifically can enhance or suppress it. Having in mind a possible application in neuroscience, the problem of suppression is concentrated upon. Second, the efficiency of suggested suppression scheme is illustrated by considering more complex case, i.e. when the population of neurons generating the undesired rhythm consists of two non-overlapping subpopulations: the first one is affected by the stimulation, while the collective activity is registered from the second one. Generally speaking, the second population can be by itself both active and passive; both cases are considered here. The possible applications of suggested technique are discussed. Third, the influence of the external linear feedback on coherence of a noisy or chaotic self-sustained oscillator is considered. Coherence is one of the main properties of self-oscillating systems and plays a key role in the construction of clocks, electronic generators, lasers, etc. The coherence of a noisy limit cycle oscillator in the context of phase dynamics is evaluated by the phase diffusion constant, which is in its turn proportional to the width of the spectral peak of oscillations. Many chaotic oscillators can be described within the framework of phase dynamics, and, therefore, their coherence can be also quantified by the way of the phase diffusion constant. The analytical theory for a general linear feedback, considering noisy systems in the linear and Gaussian approximation is developed and validated by numerical results.
In der vorliegenden Dissertation wird eine Näherung entwickelt, die eine effiziente Kontrolle verschiedener Systeme wie verrauschten oder chaotischen Oszillatoren und Neuronenensembles ermöglicht. Diese Näherung wird durch eine einfache lineare Rückkopplungsschleife implementiert. Die Dissertation besteht aus zwei Teilen. Ein Teil der Arbeit ist der Anwendung der vorgeschlagenen Technik auf eine Population von Neuronen gewidmet, mit dem Ziel ihre synchrone Dynamik zu unterdrücken. Der zweite Teil ist auf die Untersuchung der linearen Feedback-Kontrolle der Kohärenz eines verrauschten oder chaotischen, selbst erregenden Oszillators gerichtet. Zunächst widmen wir uns dem Problem, die Synchronisation in einer großen Population von aufeinander wirkenden Neuronen zu unterdrücken. Da angenommen wird, dass das Auftreten pathologischer Gehirntätigkeit, wie im Falle der Parkinsonschen Krankheit oder bei Epilepsie, auf die Synchronisation großer Neuronenpopulation zurück zu führen ist, ist das Verständnis dieser Prozesse von tragender Bedeutung. Die Standardtherapie bei derartigen Erkrankungen besteht in einer dauerhaften, hochfrequenten, intrakraniellen Hirnstimulation mittels implantierter Elektroden (Deep Brain Stimulation, DBS). Trotz der Wirksamkeit solcher Stimulationen können verschiedene Nebenwirkungen auftreten, und die Mechanismen, die der DBS zu Grunde liegen sind nicht klar. In meiner Arbeit schlage ich eine effiziente und einfache Kontrolltechnik vor, die die Synchronisation in einem Neuronenensemble durch eine minimierte Anregung unterdrückt und minimalinvasiv ist, da die Anregung stoppt, sobald der Tremor erfolgreich unterdrückt wurde. Diese Technik der "schwindenden Anregung" wäre ein nützliches Werkzeug der experimentellen Neurowissenschaft. Desweiteren stellt die Kontrolle der kollektiven Dynamik in einer großen Population von Einheiten ein interessantes physikalisches Problem dar. Der Grundansatz der Näherung ist eng mit dem klassischen Problem der Schwingungstheorie verwandt - der Interaktion eines selbst erregenden (aktiven) Oszillators und einer passiven Last, dem Resonator. Ich betrachte den deutlich komplexeren Fall eines aktiven Mediums, welches aus vielen tausenden Oszillatoren besteht. Durch Kopplung dieses Mediums an einen speziell hierür konzipierten, passiven Oszillator kann man die kollektive Bewegung des Ensembles kontrollieren, um diese zu erhöhen oder zu unterdrücken. Mit Hinblick auf eine möglichen Anwendung im Bereich der Neurowissenschaften, konzentriere ich mich hierbei auf das Problem der Unterdrückung. Im zweiten Teil wird die Wirksamkeit dieses Unterdrückungsschemas im Rahmen eines komplexeren Falles, bei dem die Population von Neuronen, die einen unerwünschten Rhythmus erzeugen, aus zwei nicht überlappenden Subpopulationen besteht, dargestellt. Zunächst wird eine der beiden Subpopulationen durch Stimulation beeinflusst und die kollektive Aktivität an der zweiten Subpopulation gemessen. Im Allgemeinen kann sich die zweite Subpopulation sowohl aktiv als auch passiv verhalten. Beide Fälle werden eingehend betrachtet. Anschließend werden die möglichen Anwendungen der vorgeschlagenen Technik besprochen. Danach werden verschiedene Betrachtungen über den Einfluss des externen linearen Feedbacks auf die Kohärenz eines verrauschten oder chaotischen selbst erregenden Oszillators angestellt. Kohärenz ist eine Grundeigenschaft schwingender Systeme und spielt ein tragende Rolle bei der Konstruktion von Uhren, Generatoren oder Lasern. Die Kohärenz eines verrauschten Grenzzyklus Oszillators im Sinne der Phasendynamik wird durch die Phasendiffusionskonstante bewertet, die ihrerseits zur Breite der spektralen Spitze von Schwingungen proportional ist. Viele chaotische Oszillatoren können im Rahmen der Phasendynamik beschrieben werden, weshalb ihre Kohärenz auch über die Phasendiffusionskonstante gemessen werden kann. Die analytische Theorie eines allgemeinen linearen Feedbacks in der Gaußschen, als auch in der linearen, Näherung wird entwickelt und durch numerische Ergebnisse gestützt.
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Chande, Vinay. "Progressive source-channel coding for multimedia transmission over noisy and lossy channels with and without feedback." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1752.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Duke, Cole Victor. "Analog Feedback Control of Broadband Fan Noise." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3646.

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Active noise control (ANC) has been implemented using analog filters to reduce broadband noise from a small axial cooling fan. Previous work successfully attenuated narrow-band, tonal portions of the noise using a digital controller. The practical performance limits of this system were reached and it was desirable to attenuate the noise further. Additional research, therefore, sought to attenuate broadband noise from the fan using a digital controller, but performance was limited by the group delay inherent in the digital signal processor (DSP). Current research attempts to further attenuate broadband noise and improve performance of the system by combining the tonal controller with an analog feedback controller. An analog controller is implemented in parallel with the digital controller without degrading the performance of either individual controller. Broadband noise is attenuated in a certain frequency region, but at the expense of increasing noise in adjacent frequency regions. Results show that a single-input single-output (SISO) controller is preferable to a multiple-input multiple-output (MIMO) controller for this system.
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Boglione, Luciano. "Low noise microwave feedback amplifier design with simultaneous signal and noise matching." Thesis, University of Leeds, 1998. http://etheses.whiterose.ac.uk/900/.

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This thesis looks into the problem of simultaneous signal and noise match at the input port of low noise amplifiers; feedback LNAs are considered because previous works show that they can achieve the simultaneous match condition. The investigation analyses the influence of both parallel and series feedback elements on the amplifier. Matrices are used to describe signal and noise parameters of each component of the model - parallel admittance, series impedance, active device. This approach allows the analysis to be applied to a wide range of networks, as long as noise and signal matrices are available. For this reason, the results are not limited to active devices in the microwave region of the spectrum but they are applicable to any linear 2-port circuit. The noise parameters of feedback networks are investigated thoroughly. Analytical expressions are worked out as functions of the feedback immittances and have been used to support experimental evidence previously published. A duality property for feedback networks is pointed out; new circles for constant equivalent noise resistance are devised; optimum values for the feedback impedance are determined; an investigation of a well-known noise model is carried out and its validity is extended. Based on the closed form expressions of the noise parameters, an original analytical procedure for the design of the optimum noise source reflection coefficient is presented. To the author's knowledge, no technique was available before. The design for simultaneous signal and noise match is now possible, because the input reflection coefficient can be set independently by properly choosing the load. Different devices are considered and their different behaviour is highlighted. A remarkable feature of the new design technique is to avoid the need of input matching when designing low noise amplifiers. Finally, experimental results are also presented and the performance of aI GHz single stage BJT LNA is shown. The fundamental achievement is that the noise figure of the LNA is equal to its minimum value within the measurement uncertainty.
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Pawełczyk, Marek. "Feedback control of acoustic noise at desired locations." Praca habilitacyjna, Wydawnictwo Politechniki Śląskiej, 2005. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=10178.

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Longtin, André. "Nonlinear oscillations, noise and chaos in neural delayed feedback." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74311.

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Bifurcations and complex oscillations in the human pupil light reflex (PLR) are studied. Autonomous pupil area oscillations are produced by substituting electronically controllable nonlinear feedback for the normal negative feedback of this reflex. A physiologically sound theoretical framework in which to study pupillary oscillations is developed. The model, framed as a delay-differential equation (DDE), agrees quantitatively with the simpler periodic behaviors and qualitatively with the complex behaviors. Much of the aperiodicity in the data can be ascribed to noise and transients rather than to chaos. The critical behavior of the PLR at oscillation onset is different with piecewise constant rather than smooth negative feedback. In the former, relative fluctuations in period are larger than those in amplitude, and vice versa in the latter. Properties of the time solutions and densities of a stochastic DDE are used to explain this experimental result. The Hopf bifurcation in this system is postponed by both additive and multiplicative colored noise. Theoretical insight into the behavior of stationary densities of DDE's and the origin of the postponement is given, and implications for analyzing bifurcations in neural delayed feedback systems are discussed.
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Raja, Ahmad Raja Mohd Kamil. "Minimum effort active noise control with feedback inclusion architecture." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443903.

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Books on the topic "Noisy feedback"

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Pawełczyk, Marek. Feedback control of acoustic noise at desired locations. Gliwice: Wydawn. Politechniki Śląskiej, 2000.

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Lütkemeyer, Christian. Konzeption eines Fractionally-Spaced Entzerrers mit quantisierter Rückkopplung und Noise-Whitening. Düsseldorf: VDI Verlag, 1999.

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Loh, Ching Y. Computing jet screech--a complex aeroacoustic feedback system. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Button, M. Design and construction of a S-band (2.5-2.7GHZ) low noise amplifier using feedback technique. Bradford: University of Bradford Postgraduate School of Electrical and Electronic Engineering, 1986.

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Juang, Jer-Nan. Recursive deadbeat controller design. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Tammi, Kari. Active control of radial rotor vibrations: Identification, feedback, feedforward, and repetitive control methods. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2007.

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Cassan, David J. A 1V transformer-feedback Low Noise amplifier for 5-6GHz WLAN in 0.18[mu]m CMOS. Ottawa: National Library of Canada, 2002.

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Laver, Michael, and Ernest Sergenti. The Evolutionary Dynamics of Decision Rule Selection. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0008.

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This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.
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United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. The Role of amplitude-to-phase conversion in the generation of oscillator flicker phase noise. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, ed. The Role of amplitude-to-phase conversion in the generation of oscillator flicker phase noise. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Book chapters on the topic "Noisy feedback"

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Ooi, James M. "Channels with Partial and Noisy Feedback." In Coding for Channels with Feedback, 141–68. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5719-7_6.

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Ahlswede, Rudolf. "Identification via Channels with Noisy Feedback." In Identification and Other Probabilistic Models, 103–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65072-8_5.

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Agarwal, Mudit, and Naresh Manwani. "Learning Multiclass Classifier Under Noisy Bandit Feedback." In Advances in Knowledge Discovery and Data Mining, 448–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75765-6_36.

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Gershon, Eli, and Uri Shaked. "Reduced-Order H ∞ Output-Feedback Control." In Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems, 61–74. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5070-1_3.

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Gershon, Eli, and Uri Shaked. "Non Linear Systems – Measurement Output-Feedback Control." In Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems, 139–54. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5070-1_8.

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Gershon, Eli, and Uri Shaked. "H ∞ Output-Feedback Control of Discrete-Time Systems." In Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems, 165–76. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5070-1_10.

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Girard, Agathe, and Roderick Murray-Smith. "Gaussian Processes: Prediction at a Noisy Input and Application to Iterative Multiple-Step Ahead Forecasting of Time-Series." In Switching and Learning in Feedback Systems, 158–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30560-6_7.

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Moir, Tom. "Systems with Random Noise." In Feedback, 303–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34839-7_12.

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Shafi, Kamran, and Hussein A. Abbass. "Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach." In Lecture Notes in Computer Science, 395–406. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13563-2_34.

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Ochoa, Agustin. "Noise and Mismatch." In Feedback in Analog Circuits, 51–81. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26252-9_4.

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Conference papers on the topic "Noisy feedback"

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Wang, Gang, Yanyuan Qin, and Chengjuan Chang. "Communication with partial noisy feedback." In 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2017. http://dx.doi.org/10.1109/iscc.2017.8024594.

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Draper, Stark C., and Anant Sahai. "Noisy feedback improves communication reliability." In 2006 IEEE International Symposium on Information Theory. IEEE, 2006. http://dx.doi.org/10.1109/isit.2006.261676.

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He, Hongliang, Pinyi Ren, Li Sun, Qinghe Du, and Yichen Wang. "Secure Communication Using Noisy Feedback." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7842249.

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Kim, Young-Han, Amos Lapidoth, and Tsachy Weissman. "The Gaussian Channel with Noisy Feedback." In 2007 IEEE International Symposium on Information Theory. IEEE, 2007. http://dx.doi.org/10.1109/isit.2007.4557421.

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Lei Wang, Guangrong Zhang, and Guo Wei. "Relay selection with noisy limited feedback." In 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011. http://dx.doi.org/10.1109/chinacom.2011.6158187.

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Shende, Nirmal V., and Aaron B. Wagner. "On very noisy channels with feedback." In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2017. http://dx.doi.org/10.1109/allerton.2017.8262828.

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Sharma, Rahul, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, and Rahul Gupta. "Federated Learning with Noisy User Feedback." In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.naacl-main.196.

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Gastpar, Michael, and Gerhard Kramer. "On Noisy Feedback for Interference Channels." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.356618.

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Hu, Xiaowan, Yuanhao Cai, Zhihong Liu, Haoqian Wang, and Yulun Zhang. "Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/101.

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Abstract:
The feedback mechanism in the human visual system extracts high-level semantics from noisy scenes. It then guides low-level noise removal, which has not been fully explored in image denoising networks based on deep learning. The commonly used fully-supervised network optimizes parameters through paired training data. However, unpaired images without noise-free labels are ubiquitous in the real world. Therefore, we proposed a multi-scale selective feedback network (MSFN) with the dual loss. We allow shallow layers to access valuable contextual information from the following deep layers selectively between two adjacent time steps. Iterative refinement mechanism can remove complex noise from coarse to fine. The dual regression is designed to reconstruct noisy images to establish closed-loop supervision that is training-friendly for unpaired data. We use the dual loss to optimize the primary clean-to-noisy task and the dual noisy-to-clean task simultaneously. Extensive experiments prove that our method achieves state-of-the-art results and shows better adaptability on real-world images than the existing methods.
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Bross, Shraga I., Yossef Steinberg, and Stephan Tinguely. "The noisy feedback interference channel with secrecy." In Electronics Engineers in Israel (IEEEI 2010). IEEE, 2010. http://dx.doi.org/10.1109/eeei.2010.5662125.

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Reports on the topic "Noisy feedback"

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Pei, Xiaomin. RHIC RF phase noise with phae loop feedback. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/1118890.

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Parkhomchuk, V. V., and V. D. Shiltsev. Is transverse feedback necessary for the SSC emittance preservation? (Vibration noise analysis and feedback parameters optimization). Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/69195.

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Kushner, Harold J., and W. Runggaldier. Nearly Optimal State Feedback Controls for Stochastic Systems with Wideband Noise Disturbances. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada162271.

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Lebedev, V., V. Parkhomchuk, V. Shiltsev, and G. Stupakov. Emittance growth due to noise and its suppression with the Feedback system in large hadron colliders. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/67494.

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