Relevant bibliographies by topics / Unlimited sampling

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Academic literature on the topic 'Unlimited sampling'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Unlimited sampling"

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Zhao, Hui, and Bing-Zhao Li. "Unlimited Sampling Theorem Based on Fractional Fourier Transform." Fractal and Fractional 7, no. 4 (April 18, 2023): 338. http://dx.doi.org/10.3390/fractalfract7040338.

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The recovery of bandlimited signals with high dynamic range is a hot issue in sampling research. The unlimited sampling theory expands the recordable range of traditional analog-to-digital converters (ADCs) arbitrarily, and the signal is folded back into a low dynamic range measurement, avoiding the saturation problem. Since the non-bandlimited signal in the Fourier domain cannot be directly applied to its existing theory, the non-bandlimited signal in the Fourier domain may be bandlimited in the fractional Fourier domain. Therefore, this brief report studies the unlimited sampling problem of high dynamic non-bandlimited signals in the Fourier domain based on the fractional Fourier transform. Firstly, a mathematical signal model for unlimited sampling is proposed. Secondly, based on this mathematical model, the annihilation filtering method is used to estimate the arbitrary folding time. Finally, a novel fractional Fourier domain unlimited sampling theorem is obtained. The theory proves that, based on the folding characteristics of the self-reset ADC, the number of samples is not affected by the modulo threshold, and any folding time can be handled.
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Andradóttir, Sigrún, Daniel P. Heyman, and Teunis J. Ott. "Potentially unlimited variance reduction in importance sampling of Markov chains." Advances in Applied Probability 28, no. 1 (March 1996): 166–88. http://dx.doi.org/10.2307/1427916.

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We consider the application of importance sampling in steady-state simulations of finite Markov chains. We show that, for a large class of performance measures, there is a choice of the alternative transition matrix for which the ratio of the variance of the importance sampling estimator to the variance of the naive simulation estimator converges to zero as the sample path length goes to infinity. Obtaining this ‘optimal’ transition matrix involves computing the performance measure of interest, so the optimal matrix cannot be computed in precisely those situations where simulation is required to estimate steady-state performance. However, our results show that alternative transition matrices of the form Q = P + E/T, where P is the original transition matrix and T is the sample path length, can be expected to provide good results. Moreover, we provide an iterative algorithm for obtaining alternative transition matrices of this form that converge to the optimal matrix as the number of iterations increases, and present an example that shows that spending some computer time iterating this algorithm and then conducting the simulation with the resulting alternative transition matrix may provide considerable variance reduction when compared to naive simulation.
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Andradóttir, Sigrún, Daniel P. Heyman, and Teunis J. Ott. "Potentially unlimited variance reduction in importance sampling of Markov chains." Advances in Applied Probability 28, no. 01 (March 1996): 166–88. http://dx.doi.org/10.1017/s0001867800027312.

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We consider the application of importance sampling in steady-state simulations of finite Markov chains. We show that, for a large class of performance measures, there is a choice of the alternative transition matrix for which the ratio of the variance of the importance sampling estimator to the variance of the naive simulation estimator converges to zero as the sample path length goes to infinity. Obtaining this ‘optimal’ transition matrix involves computing the performance measure of interest, so the optimal matrix cannot be computed in precisely those situations where simulation is required to estimate steady-state performance. However, our results show that alternative transition matrices of the form Q = P + E/T, where P is the original transition matrix and T is the sample path length, can be expected to provide good results. Moreover, we provide an iterative algorithm for obtaining alternative transition matrices of this form that converge to the optimal matrix as the number of iterations increases, and present an example that shows that spending some computer time iterating this algorithm and then conducting the simulation with the resulting alternative transition matrix may provide considerable variance reduction when compared to naive simulation.
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Balz, J. G., R. A. Bernheim, L. P. Gold, and T. Linn. "Unlimited data acquisition at moderately high sampling frequencies with a microcomputer." Computers & Chemistry 9, no. 1 (January 1985): 53–55. http://dx.doi.org/10.1016/0097-8485(85)80019-x.

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Florescu, Dorian, Felix Krahmer, and Ayush Bhandari. "The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments." IEEE Transactions on Signal Processing 70 (2022): 616–30. http://dx.doi.org/10.1109/tsp.2022.3142507.

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Hurriyati, Dwi, and Desy Arisandy. "Perilaku Konsumen Mobile Internet dalam Penggunaan Paket Layanan Unlimited." Jurnal Ilmiah Psyche 13, no. 2 (December 10, 2019): 138–47. http://dx.doi.org/10.33557/jpsyche.v13i2.708.

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.Indonesia is the most active country in using social media. Indonesia is also the largest online market with the fastest growth in Southeast Asia. This has caused many adult mobile internet users to purchase service packages that are considered satisfactory in terms of both quantity and quality. The phenomenon of internet growth and adult mobile internet users in Indonesia is certainly a potential target of telecommunications operators in marketing products in accordance with the wishes of consumers. The population in this study is consumers of mobile users who are equipped with modems for the internet (mobile internet) aged 18-40 years, especially who bought the unlimited Smartfren service package in Palembang. The sampling technique used was accidental sampling. The measuring instrument used in the form of a scale of mobile internet consumer behavior and purchasing decisions. The analysis technique used is quantitative analysis using simple regression analysis (simple regression) with SPSS Version 20 for Windows aids. Based on the results of data analysis, it is known that the correlation coefficient between mobile internet consumer behavior and purchasing decisions is r = 0.846 with p = 0.000 where p ≤ 0.01. Thus, the hypothesis which states that there is a relationship between consumer behavior of mobile internet with the decision to purchase unlimited smartfren service packages in Palembang is proven. Thus, there is a very significant relationship between the behavior of consumers of mobile internet with the decision to purchase an unlimited smartfren service package in Palembang.
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Sofina, Sofina, and Finisica Dwijayati Patrikha. "PENGARUH CITRA MEREK, KUALITAS PRODUK DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN PAKET DATA INTERNET 4G UNLIMITED INDOSAT OOREDOO (STUDI PADA KONSUMEN KABUPATEN SIDOARJO)." Jurnal Pendidikan Tata Niaga (JPTN) 10, no. 1 (August 13, 2021): 1530–36. http://dx.doi.org/10.26740/jptn.v10n1.p1530-1536.

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Penelitian ini bertujuan untuk menganalisis dan mengkaji pengaruh citra merek, kualitasproduk dan harga terhadap keputusan pembelian paket data internet 4G unlimited IndosatOoredoo. Penelitian kuantitatif merupakan jenis penelitian ini. Pelanggan paket data internetIndosat Ooredoo 4G Unlimited di kabupaten sidoarjo adalah populasi dalam penelitian ini.Metode purposive sampling digunakan untuk memilih sampel dengan jumlah respondensebanyak 50 responden. Metode analisis yang digunakan adalah analisis linier bergandadengan menggunakan program SPSS versi 26. Hasil penelitian ini menunjukkan bahwa citramerek secara parsial berpengaruh positif dan signifikan terhadap keputusan pembelian,kualitas produk secara parsial tidak berpengaruh terhadap keputusan pembelian, dan hargasecara parsial berpengaruh positif dan signifikan terhadap keputusan pembelian. Citramerek, kualitas produk dan harga secara simultan berpengaruh positif dan signifikanterhadap keputusan pembelian
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Agata Safira Rahma Dany and Ari Susanti. "PENGARUH PENDAPATAN, LITERASI KEUANGAN DAN KONTROL DIRI TERHADAP PERILAKU KONSUMTIF MAHASISWA DI SURAKARTA." Juremi: Jurnal Riset Ekonomi 2, no. 4 (December 29, 2022): 453–64. http://dx.doi.org/10.53625/juremi.v2i4.4452.

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This study aims to analyze and measure the effect of income, financial literacy and self-control in students on consumptive behavior. This study uses quantitative descriptive analysis techniques. This research uses an unlimited size or an unknown number because of the large number of active students in universities throughout in Surakarta. Sampling using purposive sampling technique amounted to 100 respondents using the Hair formula. The results obtained are income and self-control in stud ents affect consumptive behavior, while financial literacy in students does not affect consumptive behavior.
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Norvell, Russell E., Frank P. Howe, and Jimmie R. Parrish. "A Seven-Year Comparison of Relative-Abundance and Distance-Sampling Methods." Auk 120, no. 4 (October 1, 2003): 1013–28. http://dx.doi.org/10.1093/auk/120.4.1013.

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AbstractWe used data from statewide surveys of riparian birds in Utah, 1992–1998, to compare relative-abundance and distance-sampling methods. By generating relative-abundance indices with point-count methods and density with point-transect sampling methods, we examined whether the assumptions underlying each method were met during field surveys for four bird species (Brown-headed Cowbird [Molothrus ater], Bullock's Oriole [Icterus bullockii], Warbling Vireo [Vireo gilvus], and Yellow Warbler [Dendroica petechia]). Point-count methods failed to reasonably meet the fundamental assumption of constant proportionality, with estimated detectability varying 3- to 5-fold despite the use of widely accepted and well-standardized methods. Population trends based on relative abundance were subsequently unstable, often varying in both magnitude and direction with the survey plot radius used (25 m, 50 m, or unlimited distance). Distance-sampling methods appeared to meet critical assumptions, were robust to assumption violations, allowed methodological self-assessment, and were demonstrably efficient in a large-scale, multispecies survey setting. Our data show surveys of birds without estimations of detectability are likely biased because the assumption of constant proportionality is violated to a degree that precludes strict inference and may confound trend analyses.
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Shtrauss, Vairis. "Time-domain aliasing and anti-aliasing effects in differentiating a band-unlimited signal." MATEC Web of Conferences 210 (2018): 05005. http://dx.doi.org/10.1051/matecconf/201821005005.

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In this paper, we investigate time-domain errors occurring in the two extreme discrete-time differentiation modes of band-unlimited signals: in the full-band processing mode and in the processing mode with ideal anti-aliasing filtering (AAF) with a cut-off at the Nyquist frequency. We disclosed that regardless sampling frequency the error from AAF is greater than the aliasing error. It is found that type IV differentiators designed by three commonly known digital filter design methods approximately equally process the high frequency portion of the signal above the Nyquist frequency with nearly equal aliasing errors having a weak dependence on differentiator length. In contrast, the differentiators very differently compute the derivatives of the low frequency portion bellow the Nyquist frequency providing rather dissimilar the common differentiation accuracy. The results show that the differentiators derived by using maximal linearity constraints are more accurate than those designed by the Parks-McClellan algorithm and the impulse response truncation method.
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Book chapters on the topic "Unlimited sampling"

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Kwanya, Tom. "Working with Robots as Colleagues: Kenyan Perspectives of Ethical Concerns on Possible Integration of Co-bots in Workplaces." In Social and Cultural Studies of Robots and AI, 65–99. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-08215-3_4.

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AbstractRobots are moving closer to human beings especially in work environments. The entry of co-bots into workspaces raises many questions. One of the key questions surrounds the likely relationship between the co-bots and their co-workers. Are co-bots to be considered as colleagues or are they tools? What ethical issues emerge from this consideration in the context of Kenyan workspaces? This chapter discusses these questions in the Kenyan context. Data for the chapter was collected using qualitative interviews with 20 data scientists selected through information-oriented purposive sampling. The chapter concludes that there are six ethical issues which can influence the perceptions of co-bots by data scientists in Kenya. These include the concept of work as a divine gift to humanity which cannot be shared with machines; the notion that treating co-bots as legal persons equates them to human beings which is viewed as demeaning to humanity; the fear that co-bots will dominate and eventually replace humans in ordinary workspaces thereby denying the latter not just an opportunity to work but to livelihood too; fear of unintended social consequences of “anthropomorphisation”; lack of trust for machines created by limited humans to offer unlimited services and companionship; and discomfort with exotic robots entering professional but also indigenous spaces. Until these ethical issues are addressed comprehensively, it is unlikely that information scientists would unreservedly welcome co-bots into their workspaces as colleagues.
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Kaimal, J. C., and J. J. Finnigan. "Acquisition and Processing of Atmospheric Boundary Layer Data." In Atmospheric Boundary Layer Flows. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195062397.003.0010.

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Much of what we know about the structure of the boundary layer is empirical, the result of painstaking analysis of observational data. As our understanding of the boundary layer evolved, so did our ability to define more clearly the requirements for sensing atmospheric variables and for processing that information. Decisions regarding choice of sampling rates, averaging time, detrending, ways to minimize aliasing, and so on, became easier to make. We find we can even standardize most procedures for real-time processing. The smaller, faster computers, now within the reach of most boundary layer scientists, offer virtually unlimited possibilities for processing and displaying results even as an experiment is progressing. The information we seek, for the most part, falls into two groups: (1) time-averaged statistics such as the mean, variance, covariance, skewness, and kurtosis and (2) spectra and cospectra of velocity components and scalars such as temperature and humidity. We discuss them separately because of different sampling and processing requirements for the two. A proper understanding of these requirements is essential for the successful planning of any experiment. In this chapter we discuss these considerations in some detail with examples of methods used in earlier applications. We will assume that sensors collecting the data have adequate frequency response, precision, and long-term stability and that the sampling is performed digitally at equally spaced intervals. We also assume that the observation heights are chosen with due regard to sensor response and terrain roughness. For calculations of means and higher order moments we need time series that are long enough to include all the relevant low-frequency contributions to the process, sampled at rates fast enough to capture all the high-frequency contributions the sensors are able to measure. Improper choices of averaging times and sampling rates can indeed compromise our statistics. We need to understand how those two factors affect our measurements in order to make sensible decisions on how long and how fast to sample.
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Conference papers on the topic "Unlimited sampling"

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Bhandari, Ayush, Felix Krahmer, and Ramesh Raskar. "On unlimited sampling." In 2017 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2017. http://dx.doi.org/10.1109/sampta.2017.8024471.

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Graf, Olga, Ayush Bhandari, and Felix Krahmer. "One-bit Unlimited Sampling." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683266.

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Florescu, Dorian, Felix Krahmer, and Ayush Bhandari. "Unlimited Sampling with Hysteresis." In 2021 55th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2021. http://dx.doi.org/10.1109/ieeeconf53345.2021.9723306.

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Bhandari, Ayush, and Felix Krahmer. "On Identifiability in Unlimited Sampling." In 2019 13th International conference on Sampling Theory and Applications (SampTA). IEEE, 2019. http://dx.doi.org/10.1109/sampta45681.2019.9030894.

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Bhandari, Ayush, Felix Krahmer, and Ramesh Raskar. "Unlimited Sampling of Sparse Signals." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462231.

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Florescu, Dorian, and Ayush Bhandari. "Unlimited Sampling via Generalized Thresholding." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834687.

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Zhang, Peiyu, and Ayush Bhandari. "Unlimited Sampling in Phase Space." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10097109.

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Rudresh, Sunil, Aniruddha Adiga, Basty Ajay Shenoy, and Chandra Sekhar Seelamantula. "Wavelet-Based Reconstruction for Unlimited Sampling." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461466.

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Bouis, Vincent, Felix Krahmer, and Ayush Bhandari. "Multidimensional Unlimited Sampling: A Geometrical Perspective." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287529.

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Bhandari, Ayush, Felix Krahmer, and Ramesh Raskar. "Unlimited Sampling of Sparse Sinusoidal Mixtures." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437122.

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