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Relevant bibliographies by topics / The information signal

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Academic literature on the topic 'The information signal'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "The information signal"

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Babak, Vitalii, Artur Zaporozhets, Yurii Kuts Yurii, and Leonid Shcherbak. "Some features of Hilbert transform and their use in energy informatics." Problems of General Energy 2022, no. 1-2 (2022): 90–96. http://dx.doi.org/10.15407/pge2022.01-02.090.

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Information-measuring technologies (IMT) are an important instrument for solving problems of energy informatics. They allow to form primary information based on the interaction of energy facilities with IMT sensors that form information signals. In many practical applications, the constructive model of information signals is the model of narrowband signals. The article summarizes the features of the discrete Hilbert transform and its application to obtain the primary characteristics of information signals – bypass and phase as functions of time. The main advantages of using the discrete Hilber

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Yan, Liuming, Yuefei Ma, and Jorge M. Seminario. "Encoding Information Using Molecular Vibronics." Journal of Nanoscience and Nanotechnology 6, no. 3 (2006): 675–84. http://dx.doi.org/10.1166/jnn.2006.087.

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Signals carrying information are encoded in molecular vibrational waves (vibronics) rather than in electric currents as widely done in microelectronics. We demonstrate theoretically that signals can be transmitted along a long polypeptide molecule; the signal is modulated in a terahertz carrier corresponding to a frequency of an intrinsic vibrational mode of the backbone of the polypeptide, via amplitude and frequency modulations. The modulated carrier is coupled as a vibrational wave to the polypeptide at one end of the molecule and propagates for more than 168 Å towards the other end. Digita

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Sodiqov, Baxtiyor Qahhor o'g'li. "ISSUES OF TRANSMITTING INFORMATION VIA COMMUNICATION SYSTEMS." Yosh Tadqiqotchi 1, no. 1 (2022): 34–38. https://doi.org/10.5281/zenodo.5957913.

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This article discusses the problems of data transmission through communication systems, such as:  signal attenuation, shadow zones, multipath propagation of signals, signal fading.  The characteristic features of signals transmitted through the connecting channels are highlighted and described. Such systems are affected as:  MIMO technologies — a method of spatial signal encoding that  allows  increasing  the  bandwidth  of  a  channel  in  which  data transmission and data reception are carried out by systems from several

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Taneva, Ina. "Information Design." American Economic Journal: Microeconomics 11, no. 4 (2019): 151–85. http://dx.doi.org/10.1257/mic.20170351.

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A designer commits to a signal distribution that is informative about a payoff-relevant state. Conditional upon the privately observed signals, agents take actions that affect their payoffs as well as those of the designer. We show how to derive the (designer) optimal information structure in static finite environments. We fully characterize it in a symmetric binary setting for a parameterized game. In this environment, conditionally independent private signals are never strictly optimal. (JEL C72, D78, D82, D83)

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Erdogmus, Deniz, and Jose C. Principe. "Information Theoretic Signal Processing." Signal Processing 85, no. 5 (2005): 873–74. http://dx.doi.org/10.1016/j.sigpro.2004.11.024.

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Djungha Okitadiowo, John P., Aimé Lay-Ekuakille, Tommaso Isernia, Vikrant Bhateja, and Satya Prakash Singh. "Beamforming-based algorithms for recovering information from fetal electrocardiographic sensors." Acta IMEKO 12, no. 2 (2023): 1–8. http://dx.doi.org/10.21014/actaimeko.v12i2.1470.

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We deal with the extraction of the fetal electrocardiography (ECG) signal from the raw ECG signals of the mother by the beamforming- based algorithms. The foetal ECG sensors bring out signals containing information from the pregnant mother and the infant. Detailed and separate signals are already provided by the foetal ECG instruments; but for some specific studies related to the infant conditions, it is necessary to improve the quality of the signal with a dedicated processing. In this paper, four techniques, with some enhancements, are proposed to perform the processing; we have applied the

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Jehiel, Philippe, and Jakub Steiner. "Selective Sampling with Information-Storage Constraints." Economic Journal 130, no. 630 (2019): 1753–81. http://dx.doi.org/10.1093/ej/uez068.

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Abstract A memoryless agent can acquire arbitrarily many signals. After each signal observation, she either terminates and chooses an action, or she discards her observation and draws a new signal. By conditioning the probability of termination on the information collected, she controls the correlation between the payoff state and her terminal action. We provide an optimality condition for the emerging stochastic choice. The condition highlights the benefits of selective memory applied to the extracted signals. Implications—obtained in simple examples—include (i) confirmation bias, (ii) speed-

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Pastushenko, M. S., M. A. Pastushenko, and T. А. Faizulaiev. "ESTIMATION OF FORMANT INFORMATION USING AUTOCORRELATION FUNCTION OF VOICE SIGNAL." Radio Electronics, Computer Science, Control, no. 3 (November 3, 2024): 144. http://dx.doi.org/10.15588/1607-3274-2024-3-12.

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Context. The current scientific problem of extracting biometric characteristics of a user of a voice authentication system, which can significantly increase its reliability, is considered. There has been performed estimation of formant information from the voice signal, which is a part of the user template in the voice authentication system and is widely used in the processing of speech signals in other applications, including in the presence of interfering noise components. The work is distinguished by the investigation of a polyharmonic signal. Objective. The purpose of the work is to develo

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Taylor, Ryan C., Barrett A. Klein, and Michael J. Ryan. "Inter-signal interaction and uncertain information in anuran multimodal signals." Current Zoology 57, no. 2 (2011): 153–61. http://dx.doi.org/10.1093/czoolo/57.2.153.

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Abstract Disentangling the influence of multiple signal components on receivers and elucidating general processes influencing complex signal evolution are difficult tasks. In this study we test mate preferences of female squirrel treefrogs Hyla squirella and female túngara frogs Physalaemus pustulosus for similar combinations of acoustic and visual components of their multimodal courtship signals. In a two-choice playback experiment with squirrel treefrogs, the visual stimulus of a male model significantly increased the attractivness of a relatively unattractive slow call rate. A previous stud

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Dzheniuk, Nataliia, Serhii Yevseiev, Bogdan Lazurenko, Oleksandr Serkov, and Oleg Kasilov. "A METHOD OF PROTECTING INFORMATION IN CYBER-PHYSICAL SPACE." Advanced Information Systems 7, no. 4 (2023): 80–85. http://dx.doi.org/10.20998/2522-9052.2023.4.11.

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The subject of the study is the processes of ensuring the reliability and security of information in cyber-physical space. The objective is to develop recommendations for the implementation of a method of information security in cyber-physical space. The development is based on the technology of ultra-wideband signals circulating in wireless communication channels. The task is to ensure the stable and reliable operation of the airborne wireless mobile communication network, which is the main component of cyberspace and its most vulnerable link to destructive influences. Methods used: methods o

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Dissertations / Theses on the topic "The information signal"

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Moose, Phillip J. "Approximate signal reconstruction from partial information." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06102009-063326/.

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Long, John Allen. "Bimodal information processing in radar signal identification." [Pensacola, Fla.] : University of West Florida, 2002. http://purl.fcla.edu/fcla/etd/WFE0000058.

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Lim, Taehyung. "Information-Theoretic Aspects of Signal Analysis and Reconstruction." Thesis, University of California, San Diego, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10637732.

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<p> The objective of this thesis is to develop a few approaches to <i> wave theory of information</i>. Specifically, this dissertation focuses on two special types of waveforms, bandlimited and multi-band signals. In both cases, we investigate the waveforms in the context of signal analysis and reconstructions. </p><p> In the first part of this thesis, we derive the amount of information that can be transmitted by bandlimited waveforms under perturbation, and the amount of information required to represent any bandlimited waveforms within a specific accuracy. These goals can be studied using

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Birch, Gary Edward. "Single trial EEG signal analysis using outlier information." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28626.

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The goal of this thesis work was to study the characteristics of the EEG signal and then, based on the insights gained from these studies, pursue an initial investigation into a processing method that would extract useful event related information from single trial EEG. The fundamental tool used to study the EEG signal characteristics was autoregressive modeling. Early investigations pointed to the need to employ robust techniques in both model parameter estimation and signal estimation applications. Pursuing robust techniques ultimately led to the development of a single trial processing meth

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Kim, Junmo 1976. "Spatio-temporal fMRI signal analysis using information theory." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/8982.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 111-112).<br>Functional MRI is a fast brain imaging technique which measures the spatio-temporal neuronal activity. The development of automatic statistical analysis techniques which calculate brain activation maps from JMRI data has been a challenging problem due to the limitation of current understanding of human brain physiology. In previous work a novel information-theoretic approach was introduced for calculating the activation map fo

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McMahon, Siobhan. "Information processing in molecular motifs and signal transduction." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/29429.

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Sensing and responding to the environment is a crucial function in all living organisms. The molecular mechanisms that facilitate these essential processes are however subject to a range of random effects and stochastic processes, which jointly affect the reliability of information transmission between receptors and e.g. the physiological downstream response. We employ an information theoretic framework to capture and characterise how extrinsic and intrinsic noise affect the transmission of signals along simple motifs of molecular interaction networks, and cell fate decision making pathways. W

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Holt, A. G. J. "Studies in signal processing." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248472.

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Forsling, Robin. "Decentralized Estimation Using Conservative Information Extraction." Licentiate thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171998.

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Sensor networks consist of sensors (e.g., radar and cameras) and processing units (e.g., estimators), where in the former information extraction occurs and in the latter estimates are formed. In decentralized estimation information extracted by sensors has been pre-processed at an intermediate processing unit prior to arriving at an estimator. Pre-processing of information allows for the complexity of large systems and systems-of-systems to be significantly reduced, and also makes the sensor network robust and flexible. One of the main disadvantages of pre-processing information is that inform

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Bergström, Andreas. "Timing-Based Localization using Multipath Information." Licentiate thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163073.

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The measurements of radio signals are commonly used for localization purposes where the goal is to determine the spatial position of one or multiple objects. In realistic scenarios, any transmitted radio signal will be affected by the environment through reflections, diffraction at edges and corners etc. This causes a phenomenon known as multipath propagation, by which multiple instances of the transmitted signal having traversed different paths are heard by the receiver. These are known as Multi-Path Components (MPCs). The direct path (DP) between transmitter and receiver may also be occluded

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Yang, Xun. "Information-based commodity pricing and the theory of signal processing with Levy information." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12229.

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In mathematical finance, increasing attention is being paid to (a) the construction of explicit models for the flow of market information, and (b) the use of such models as a basis for asset pricing. One notable approach in this spirit is the information-based asset pricing theory of Brody, Hughston and Macrina (BHM), in which so-called information processes are introduced and ingeniously integrated into the general theory of asset pricing. Building on the BHM theory, this thesis presents a number of new developments in this area. I begin with a brief review of the BHM framework, leading to a

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Books on the topic "The information signal"

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Das, Vinu V., and Passent Elkafrawy, eds. Signal Processing and Information Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11629-7.

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Das, Vinu V., Ezendu Ariwa, and Syarifah Bahiyah Rahayu, eds. Signal Processing and Information Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32573-1.

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Mohammed, Ismail. Analog VLSI: Signal and information processing. McGraw-Hill, 1994.

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Terri, Fiez, ed. Analog VLSI: Signal and information processing. McGraw-Hill, 1994.

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Kuc, Roman. Introduction to digital signal processing. BS Publications, 2008.

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Sun, Songlin, Tao Hong, Peng Yu, and Jiaqi Zou, eds. Signal and Information Processing, Networking and Computers. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4775-9.

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Sun, Songlin, ed. Signal and Information Processing, Networking and Computers. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1733-0.

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Bloch, Isabelle, ed. Information Fusion in Signal and Image Processing. ISTE, 2008. http://dx.doi.org/10.1002/9780470611074.

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Sun, Songlin, Na Chen, and Tao Tian, eds. Signal and Information Processing, Networking and Computers. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7521-6.

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Sun, Songlin, Meixia Fu, and Lexi Xu, eds. Signal and Information Processing, Networking and Computers. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7123-3.

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Book chapters on the topic "The information signal"

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Glaser, Wolfgang, and Otto Mildenberge. "Information und Signal." In Von Handy, Glasfaser und Internet. Vieweg+Teubner Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-91569-6_1.

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Weik, Martin H. "information-bearing signal." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8911.

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Arora, Neha, and Biswajit Mishra. "Signal Quality Assurance of ECG Signals for Automated Signal Processing Techniques." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-74701-4_1.

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Baras, C., N. Moreau, and T. Dutoit. "How could music contain hidden information?" In Applied Signal Processing. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-74535-0_7.

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Fasil, O. K., R. Rajesh, and T. M. Thasleema. "Fusion of Signal and Differential Signal Domain Features for Epilepsy Identification in Electroencephalogram Signals." In Advances in Data and Information Sciences. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8360-0_12.

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Yu, Francis T. S. "Diffraction and Signal Analysis." In Entropy and Information Optics. CRC Press, 2017. http://dx.doi.org/10.1201/b22443-2.

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Havlík, Jan, Ondřej Fousek, and Miroslav Ložek. "Patient Monitoring Using Bioimpedance Signal." In Information Technology in Bio- and Medical Informatics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32395-9_15.

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Darbellay, Georges A. "Predictability: An Information-Theoretic Perspective." In Signal Analysis and Prediction. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1768-8_18.

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Konishi, Tsuyoshi. "Diversity of Optical Signal Processing Led by Optical Signal Form Conversion." In Information Optics and Photonics. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7380-1_4.

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Amari, Shun-ichi. "Signal Processing and Optimization." In Information Geometry and Its Applications. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55978-8_13.

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Conference papers on the topic "The information signal"

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Opalikhina, Olga V., and Mikhail A. Zhelavskiy. "Markov Evaluation of Information Signal." In 2025 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2025. https://doi.org/10.1109/weconf65186.2025.11017152.

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Guo, Yu, Lifeng Li, Fangyuan Deng, and Zhang Hongying. "Optimization of Power Communication Signal by Signal-Wave Judgment Method." In 2024 Global Conference on Communications and Information Technologies (GCCIT). IEEE, 2024. https://doi.org/10.1109/gccit63234.2024.10862707.

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McDonnell, Mark D. "Signal Estimation Via Averaging of Coarsely Quantised Signals." In 2007 Information, Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/idc.2007.374533.

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Yanbin, Sun, Zhou Jianmei, Chen Shanshan, Zeng Xiangkai, and Sun Xia. "Signal processing for extracting velocity information from spatial filtering signals." In 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2020. http://dx.doi.org/10.1109/cyberc49757.2020.00058.

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Nyssen, E., P. De Muynck, E. Mechele, and J. Cornelis. "ECG signal information and diagnostic information in multipoles." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94435.

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Fang, Chengzhi, Liya Huang, and Ying Zhang. "OFDM Blind Signal Detection Using the Signal Probability Information." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5305576.

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Rossignol, Stephane, and Olivier Pietquin. "Precise Voicing Information Extraction in Speech Signals Using the Analytic Signal." In 2008 8th IEEE International Symposium on Signal Processing and Information Technology. ISSPIT 2008. IEEE, 2008. http://dx.doi.org/10.1109/isspit.2008.4775673.

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Dowski, Edward R. "An Information Theory Approach To Three Incoherent Information Processing Systems." In Signal Recovery and Synthesis. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/srs.1995.rwd1.

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Many incoherent optical/digital systems can be used for non-imaging purposes, such as passive ranging. These systems cannot effectively be analyzed or designed in terms of traditional image-forming systems. Instead, such systems should be analyzed in terms of information theory. Through mathematical modelling of the sampled image, information theory can be used to optimize a given system.

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Shah, Shaik Basheeruddin, and Vijay Kumar Chakka. "Signal Representation Using Ramanujan Subspaces Utilizing A Prior Signal Information." In 2020 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2020. http://dx.doi.org/10.1109/spcom50965.2020.9179618.

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Cole, Aaron, Azad Siahmakoun, Sergio Granieri, and Mohammad Sayeh. "Optical Accumulator for Signal Processing." In Information Photonics. OSA, 2005. http://dx.doi.org/10.1364/ip.2005.itua4.

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Reports on the topic "The information signal"

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Spina, John F. Integrated RF Sensor Signal/Data Processing Information Analysis Center (IAC). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401075.

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Blum, Rick S. Networking Sensors for Information Dominance - Joint Signal Processing and Communication Design. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada566200.

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Schafer, Ronald W. Two-Dimensional Signal Processing, Optical Information Storage and Processing, and Electromagnetic Measurements. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada281937.

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Vecherin, Sergey, Stephen Ketcham, Aaron Meyer, Kyle Dunn, Jacob Desmond, and Michael Parker. Short-range near-surface seismic ensemble predictions and uncertainty quantification for layered medium. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45300.

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To make a prediction for seismic signal propagation, one needs to specify physical properties and subsurface ground structure of the site. This information is frequently unknown or estimated with significant uncertainty. This paper describes a methodology for probabilistic seismic ensemble prediction for vertically stratified soils and short ranges with no in situ site characterization. Instead of specifying viscoelastic site properties, the methodology operates with probability distribution functions of these properties taking into account analytical and empirical relationships among viscoela

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Nestleroth. L52117 Dual Magnetization MFL for Enhanced Assessment of Corrosion Anomalies. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010957.

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Magnetic flux leakage (MFL) is the most commonly used in-line inspection method for pipelines and will most likely remain the preferred technology for many decades. However, MFL does have its limitations on sizing corrosion anomalies. This work investigates an enhanced MFL implementation to improve assessment of corrosion anomalies. This implementation uses signals recorded at two magnetization levels: high levels typical of modern commercial MFL tools and low levels near the knee of the nonlinear magnetization curve. A method for combining signals from both field levels was developed, which c

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Via, Dennis L. The Division G6 - Strategic Signal Leadership for Information Superiority in the Army After Next. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363198.

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Schafer, Ronald W. Multidimensional Digital Signal Processing Optical Devices for Information Processing and Electromagnetic Analysis and Measurement. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada384663.

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Saldivar-Carranza, Enrique, Howell Li, Jijo K. Mathew, Saumabha Gayen, Haydn Malackowski, and Darcy M. Bullock. Trajectory-Based Arterial Traffic Signal Performance Measures Reports. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317633.

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Traffic signal performance measures based on connected vehicle (CV) trajectory data can provide practitioners actionable information on the operational state of their systems. A visualization framework that can enable agencies to quickly assess arterial-level performance by time-of-day (TOD) to identify challenges and opportunities has been recently developed. The framework provides information on four relevant signal performance measures over a corridor, including traditional Highway Capacity Manual (HCM) level of service (LOS), arrivals on green (AOG), split failures (SF), and downstream blo

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Skolnik, Merrill I. Radar Information from the Partial Derivatives of the Echo Signal Phase from a Point Scatterer. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada193402.

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Ehiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.

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Review question / Objective: A systematic review of Mental health diagnosis/prognoses of mental disorders using Machine Learning techniques with information from biometric signals. A review of the trend and status of these ML techniques in mental health diagnosis and an investigation of how these signals are used to help increase the efficiency of mental health disease diagnosis. Using Machine learning techniques to classify mental health diseases as against using only expert knowledge for diagnosis. Feature Extraction from signal gotten from biometric signals that help classify sleep disorder

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