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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Šaliga, Ján, Ondrej Kováč, and Imrich Andráš. "Analog-to-Information Conversion with Random Interval Integration." Sensors 21, no. 10 (2021): 3543. http://dx.doi.org/10.3390/s21103543.

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A novel method of analog-to-information conversion—the random interval integration—is proposed and studied in this paper. This method is intended primarily for compressed sensing of aperiodic or quasiperiodic signals acquired by commonly used sensors such as ECG, environmental, and other sensors, the output of which can be modeled by multi-harmonic signals. The main idea of the method is based on input signal integration by a randomly resettable integrator before the AD conversion. The integrator’s reset is controlled by a random sequence generator. The signal reconstruction employs a commonly
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12

Gerber, Susanne, and Illia Horenko. "Improving clustering by imposing network information." Science Advances 1, no. 7 (2015): e1500163. http://dx.doi.org/10.1126/sciadv.1500163.

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Cluster analysis is one of the most popular data analysis tools in a wide range of applied disciplines. We propose and justify a computationally efficient and straightforward-to-implement way of imposing the available information from networks/graphs (a priori available in many application areas) on a broad family of clustering methods. The introduced approach is illustrated on the problem of a noninvasive unsupervised brain signal classification. This task is faced with several challenging difficulties such as nonstationary noisy signals and a small sample size, combined with a high-dimension
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13

Zamula, A. A. "Technologies of forming OFDM signals in modern information and communication systems." Radiotekhnika, no. 193 (May 15, 2018): 152–58. http://dx.doi.org/10.30837/rt.2018.2.193.15.

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Technologies of forming signals used in communication and telecommunications systems are considered, and the analysis of promising technologies that can be used in wireless broadband access communication systems is given. It is shown that a widely used OFDM modulation scheme has a number of shortcomings that can lead to a decrease in the system efficiency indicators. Alternative signal generation technologies are presented, in particular, signal-based signal processing based on window signal processing (W-OFDM), which eliminate the shortcomings of the OFDM technology.
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14

Gavrilovich, Misha, and Victoria Kreps. "Games with Symmetric Incomplete Information and Asymmetric Computational Resources." International Game Theory Review 20, no. 02 (2018): 1750034. http://dx.doi.org/10.1142/s0219198917500347.

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We consider random public signals on the state of two-person zero-sum game with incomplete information on both sides (both players do not know the state of the game). To learn the state, each player chooses a finite automaton which receives the public signal; the player only sees the output of the automaton chosen. Supposing that the size of automata available to Player 1 is essentially bigger than that available to Player 2, we give an example of public signal with random length of output strings where the posterior belief of Player 1 is the state and the posterior belief of Player 2 is close
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15

KRIUCHKOVA, LARYSA, IVAN TSMOKANYCH, and MAKSYM VOVK. "ADVANCED METHOD OF PROTECTION OF CONFIDENTIAL INFORMATION FROM INTERCEPTION BY HIGH-FREQUENCY IMPOSITION METHODS." Computer systems and information technologies, no. 3 (April 14, 2022): 14–20. http://dx.doi.org/10.31891/csit-2021-5-2.

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The processes of formation of technical channels of leakage of confidential information on objects of information activity by methods of high-frequency imposition, physical essence of process of formation of dangerous signals by modulation of probing high-frequency signal by acoustic signals, conditions of formation of basic and auxiliary technical means and systems of dangerous signals are considered. As a basis for improvement, a method of blocking information interception channels by high-frequency imposition is used, in which target active noise protection signals are introduced into the m
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16

Yang, Dong, Wei Xin Ren, and Xiang Xiao. "Structure Dynamic Signal Denoise Using Multi-Scale EMD." Advanced Materials Research 168-170 (December 2010): 2611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.168-170.2611.

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For structure dynamic signals with low signal to noise ratio (SNR), Multi-scale EMD is proposed to extract useful information from signals contaminated by noise. This method is an adaptive way, and achieves better performance than traditional methods. A complex signal composed of signal and noise, which is first decompose into a series of different characteristic IMFs. Then sum of the first few IMFs including useful information and noise are further decomposed by EMD, and iterate this process for several times in order to extract useful information. The final step is deleting some IMFs obtaine
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17

RITTGERS, STANLEY E. "Signal Processing of Doppler Information." Echocardiography 4, no. 1 (1987): 7–15. http://dx.doi.org/10.1111/j.1540-8175.1987.tb01317.x.

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18

Johnson, D. H., and P. N. Shami. "The Signal Processing Information Base." IEEE Signal Processing Magazine 10, no. 4 (1993): 36–42. http://dx.doi.org/10.1109/79.248556.

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19

Irwin, Robert D., and Daniel L. Weber. "Information integration of signal frequency." Journal of the Acoustical Society of America 99, no. 4 (1996): 2490–500. http://dx.doi.org/10.1121/1.415615.

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20

Kitura, O. V., О. R. Zhukova, V. О. Zavatskyi, A. H. Zakharzhevsky, and V. V. Dmytrenko. "Information transmission systems based on multidimensional signals." Connectivity 159, no. 5 (2022). http://dx.doi.org/10.31673/2412-9070.2022.050310.

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Modern approaches to the formation and processing of multidimensional signals are based on the use of amplitude-phase-difference modulation with a change in the start time of the integration interval and special coding methods. The paper proposes methods for forming a multidimensional signal for mobile networks of the latest generations, which will increase the noise immunity by a factor of 2 compared to two-dimensional multi-position signals. The increase in noise immunity is achieved by increasing the equivalent signal energy, which is determined by the distance in the geometric representati
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21

Kim, Eunhee, and Suil Pae. "Voluntary Disclosure When Information Quality Is Unknown." Accounting Review, November 1, 2024, 1–29. http://dx.doi.org/10.2308/tar-2023-0540.

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ABSTRACT This paper presents a costly voluntary disclosure model in which the information quality of a signal about a firm’s future cash flow is unknown, where the information quality, also called signal quality, refers to signal precision. Disclosure plays a dual role in firm valuation, providing information about both the cash flow and signal quality. We identify a necessary and sufficient condition under which the firm price under disclosure is a nonmonotonic and bounded function of the signal. Under this condition, as the disclosure cost increases, the equilibrium changes from an intermedi
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22

Sharma, Salil, Elias Tsakas, and Mark Voorneveld. "Procuring Unverifiable Information." Mathematics of Operations Research, June 10, 2024. http://dx.doi.org/10.1287/moor.2022.0085.

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We study settings where information in the form of Bayesian signals is acquired by an expert on behalf of a principal. Information acquisition is costly for the expert and crucially not verifiable by the principal. The expert is compensated by the principal with a menu of state-contingent payments. We provide a full characterization of the set of all menus that implement (respectively, strictly implement) each signal. Moreover, we provide a closed-form characterization for the expected cost for the cheapest such menu, which we call proxy cost of the signal. Surprisingly, in general, the proxy
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23

Qin, Zhehan, and Zhong-Zhi Xianyu. "Phase information in cosmological collider signals." Journal of High Energy Physics 2022, no. 10 (2022). http://dx.doi.org/10.1007/jhep10(2022)192.

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Abstract Massive particles produced during the cosmic inflation can imprint in the primordial non-Gaussianities as characteristic oscillating functions of various momentum ratios, known as cosmological collider signals. We initiate a study of the phase of the oscillating signals which can be unambiguously defined and measured. The phase can provide useful new information about the spin and the couplings of the intermediate heavy particles that cannot be obtained from the signal frequency and angular dependences alone. We also present new analytical results for full nonlocal signals from two ty
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24

Zali, Zahra, Matthias Ohrnberger, Frank Scherbaum, Fabrice Cotton, and Eva P. S. Eibl. "Volcanic Tremor Extraction and Earthquake Detection Using Music Information Retrieval Algorithms." Seismological Research Letters, July 21, 2021. http://dx.doi.org/10.1785/0220210016.

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Abstract Volcanic tremor signals are usually observed before or during volcanic eruptions and must be monitored to evaluate the volcanic activity. A challenge in studying seismic signals of volcanic origin is the coexistence of transient signal swarms and long-lasting volcanic tremor signals. Separating transient events from volcanic tremors can, therefore, contribute to improving upon our understanding of the underlying physical processes. Exploiting the idea of harmonic–percussive separation in musical signal processing, we develop a method to extract the harmonic volcanic tremor signals and
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25

Skachkov, V. V. "IMAGE RESTORATION METHOD, INVARIANT TO SIGNAL CORRELATION IN THE INFORMATION SYSTEM WITH ADAPTIVE ANTENNA ARRAY." Digital Technologies, 2020, 64–76. http://dx.doi.org/10.33243/2313-7010-28-64-76.

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The problem of image signal processing in the information system with adaptive antenna array based on the inversion of sample estimates of correlation matrix of observations is considered. The example of the maximum signal-to-noise ratio criterion shows the problem, inherent in classical methods of finding the optimal weight vector under a priori uncertainty conditions when detecting correlated image signals. It has been concluded that the dependence of these methods on the inverse of estimation of the correlation matrix of observations leads to the impossibility of separating correlated image
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26

"Application of Entropy Information on Bearing Fault Diagnosis." Journal of Robotics and Automation Research 2, no. 2 (2021). http://dx.doi.org/10.33140/jrar.02.02.04.

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In order to solve the problem of nonlinear, nonstationary, complex components and redundant information of rolling bearing vibration signal in single scale, a rolling bearing fault feature extraction method based on wavelet packet decomposition and permutation entropy and sample entropy is proposed. Firstly, wavelet packet decomposition is used to decompose the original signal of rolling bearing into several sub bands with different frequencies, and the permutation entropy and sample entropy of signal data at different frequencies are calculated. Secondly, the sample entropy and permutation en
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Tjalma, Age J., Vahe Galstyan, Jeroen Goedhart, Lotte Slim, Nils B. Becker, and Pieter Rein ten Wolde. "Trade-offs between cost and information in cellular prediction." Proceedings of the National Academy of Sciences 120, no. 41 (2023). http://dx.doi.org/10.1073/pnas.2303078120.

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Living cells can leverage correlations in environmental fluctuations to predict the future environment and mount a response ahead of time. To this end, cells need to encode the past signal into the output of the intracellular network from which the future input is predicted. Yet, storing information is costly while not all features of the past signal are equally informative on the future input signal. Here, we show for two classes of input signals that cellular networks can reach the fundamental bound on the predictive information as set by the information extracted from the past signal: Push–
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28

"Signaling Information Management in Entrepreneurial Firms’ Financing Acquisition." Journal of Global Information Management 29, no. 6 (2021): 0. http://dx.doi.org/10.4018/jgim.287590.

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Research has identified the significant effect of new ventures’ signaling information management on their ability to secure private equity financing. This study adopts an integrated signaling and screening perspective to investigate investors’ differing perceptions of signals from ventures, across early financing stages. It proposes a three-step interpretation process. Based on an inductive multiple case study of signaler‒receiver dyads, it finds that to reach a financing decision, angel investors extract a characteristic signal as the fundamental type, orchestrate an acting signal as a supple
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29

Gonge, Sudhanshu S., and Rekha.Lathi. "Digital Watermarking Technique used for Security of Digital Images during Broadcasting and Telecasting by Using DWT." International Journal of Electronics Signals and Systems, January 2012, 188–94. http://dx.doi.org/10.47893/ijess.2012.1036.

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Signals are any time varying quantity having lot of Information and have its own frequency. Signal can be classified into random signal, periodic signals, and non-periodic signals, discrete or digital signal. Signal may contain various data like audio, vedio, or in text format. Signal also has information like images. But question arises of security of signal. So; Signals can be making secure by using the different Security techniques such as encryption and decryption by using RSA algorithm, Stegnography, Digital watermarking techniques. In this paper we are going to discuss transmission of Si
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30

Wang, Jingru, Zhiyuan Zhen, and Qiang Yan. "Information sharing and leakage in the two-echelon supply chain." RAIRO - Operations Research, June 24, 2019. http://dx.doi.org/10.1051/ro/2019066.

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We consider ex post demand information sharing and leakage in a two-echelon supply chain consisting of one supplier and two retailers competing in quantities. The incumbent retailer has an advantage to acquire information about the market at a cost. If he invests in information acquisition, he privately acquires a signal about the market demand. We examine the incumbent’s incentive of information acquisition and sharing, and the upstream supplier’s information leakage strategy. We confirm that the incumbent’s information acquisition and sharing decisions depend on whether the information acqui
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31

Fuster, Andreas, Ricardo Perez-Truglia, Mirko Wiederholt, and Basit Zafar. "Expectations with Endogenous Information Acquisition: An Experimental Investigation." Review of Economics and Statistics, October 30, 2020, 1–54. http://dx.doi.org/10.1162/rest_a_00994.

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We use a survey experiment to generate direct evidence on how people acquire and process information. Participants can buy different information signals that could help them forecast future national home prices. We elicit their valuations and exogenously vary the cost of information. Participants put substantial value on their preferred signal and, when acquired, incorporate the signal in their beliefs. However, they disagree on which signal to buy. As a result, making information cheaper does not decrease the cross-sectional dispersion of expectations. We provide a model with costly acquisiti
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32

Turovskyy, O. L. "Signal modeling of means of tacit information acquisition using spline functions." Modern Information Security 57, no. 1 (2024). http://dx.doi.org/10.31673/2409-7292.2024.010003.

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The article deals with the problem of recognizing signals from systems of unauthorized covert acquisition of confidential information. The general problem of detecting signals from the means of covert information acquisition (CIL) consists in the direct formation of a technique that would allow submitting the detected signal from CIL using the legal data transmission range in an analytical form convenient for further analysis and direct detection of a malicious signal. An analysis of the meaning, signs and properties of the means of covertly obtaining information was carried out, and their unm
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33

Liu, Yuchen, Jianfa Li, Zhicong Chen, Weiren Huang, and Zhiming Cai. "Synthesizing artificial devices that redirect cellular information at will." eLife 7 (January 10, 2018). http://dx.doi.org/10.7554/elife.31936.

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Natural signaling circuits could be rewired to reprogram cells with pre-determined procedures. However, it is difficult to link cellular signals at will. Here, we describe signal-connectors—a series of RNA devices—that connect one signal to another signal at the translational level. We use them to either repress or enhance the translation of target genes in response to signals. Application of these devices allows us to construct various logic gates and to incorporate feedback loops into gene networks. They have also been used to rewire a native signaling pathway and even to create novel pathwa
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34

Lemus, Jorge, and Emil Temnyalov. "Diversification and information in contests." Economic Theory, November 3, 2023. http://dx.doi.org/10.1007/s00199-023-01532-x.

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AbstractWe study contests with technological uncertainty, where contestants can invest in different technologies of uncertain value. The principal, who is also uncertain about the value of the technologies, can disclose an informative yet noisy public signal about the merit of each technology. The signal can focus contestants’ investments into more promising technologies or increase diversification. We characterize the principal’s optimal disclosure of information about the technologies, which depends on the value of diversification, the informativeness of available signals, and the ex-ante be
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35

"IEEE Signal Processing Society Information." IEEE Journal of Selected Topics in Signal Processing 16, no. 5 (2022): C3. http://dx.doi.org/10.1109/jstsp.2022.3191277.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 30 (2021): C3. http://dx.doi.org/10.1109/tip.2021.3129405.

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Feldman, Jacob. "Information-theoretic signal detection theory." Psychological Review, July 19, 2021. http://dx.doi.org/10.1037/rev0000300.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 27, no. 9 (2018): C3. http://dx.doi.org/10.1109/tip.2018.2864480.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 27, no. 10 (2018): C3. http://dx.doi.org/10.1109/tip.2018.2864493.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 27, no. 11 (2018): C3. http://dx.doi.org/10.1109/tip.2018.2871540.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 27, no. 12 (2018): C3. http://dx.doi.org/10.1109/tip.2018.2871583.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 1 (2019): C3. http://dx.doi.org/10.1109/tip.2018.2877879.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 2 (2019): C3. http://dx.doi.org/10.1109/tip.2018.2878296.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 3 (2019): C3. http://dx.doi.org/10.1109/tip.2018.2882323.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 5 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2910631.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 6 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2915848.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 7 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2922017.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 8 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2928088.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 9 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2934268.

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"IEEE Signal Processing Society Information." IEEE Transactions on Image Processing 28, no. 10 (2019): C3. http://dx.doi.org/10.1109/tip.2019.2937621.

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