Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities [PDF]
, 2021 A novel approach to signal filtering using digital alias-free signal processing (DASP) is presented in this paper. We propose an unbiased, fast-converging estimator of the output of a finite impulse response (FIR) continuous-time filter.
Tarczynski, A., Darawsheh, H.
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FIR Filtering of Discontinuous Signals: A Random-Stratified Sampling Approach [PDF]
, 2020 This paper presents a novel approach, based on random stratified sampling (StSa) technique, to estimate the output of a finite impulse response (FIR) filter when the input signal is either a piecewise-continuous function having first-derivative ...
Tarczynski, A. +3 more
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Exact methods for comparison of estimation strategies in survey sampling. [PDF]
, 2010 PhDMany strategies in survey sampling depend on large sample approximation formulae for design-based inference on finite population parameters, which are not valid for small samples. We develop an approach using matrix algebra to tackle many problems
Khan, Kaleem Uddin
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Estimation of Fourier Transform Using Alias-free Hybrid-Stratified Sampling [PDF]
, 2016 This paper proposes a novel method of estimating the Fourier Transform (FT) of deterministic, continuous-time signals, from a finite number \u1d441 of their samples taken from a fixed-length observation window.
Tarczynski, A., Ahmad, B.I.
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Federated learning based on stratified sampling and regularization
Complex & Intelligent Systems, 2022 Federated learning (FL) is a new distributed learning framework that is different from traditional distributed machine learning: (1) differences in communication, computing, and storage performance among devices (device heterogeneity), (2) differences in
Chenyang Lu +4 more
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High-Order Hybrid Stratified Sampling: Fast Uniform-Convergence Fourier Transform Estimation [PDF]
, 2018 This paper considers the problem of estimating the Fourier transform of continuous-time signals from N nonuniformly collected observations. Here, we introduce a new class of Hybrid Stratified sampling scheme in conjunction with a suitable estimator ...
Al-Ani, M. +5 more
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Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device
Revista Colombiana de EstadÃstica, 2017 This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken by applying stratified sampling to the adjusted Kuk model.
LEE GI-SUNG +3 more
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Calibration-Based Mean Estimators under Stratified Median Ranked Set Sampling
Mathematics, 2023 Using auxiliary information, the calibration approach modifies the original design weights to enhance the mean estimates. This paper initially proposes two families of estimators based on an adaptation of the estimators presented by recent researchers ...
Usman Shahzad +4 more
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A Novel Sub-Nyquist Fourier Transform Estimator Based on Alias-free Hybrid Stratified Sampling [PDF]
, 2016 This paper introduces a novel method of estimating theFourier transform of deterministic continuous-time signals from a finite number N of their nonuniformly spaced measurements.
Tarczynski, A. +3 more
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Quantitative estimation of sampling uncertainties for mycotoxins in cereal shipments [PDF]
, 2012 Many countries receive shipments of bulk cereals from primary producers. There is a volume of work that is ongoing that seeks to arrive at appropriate standards for the quality of the shipments and the means to assess the shipments as they are out-loaded.
Bourgeois, Florent +2 more
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