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The field is modelled as a sum of Fourier components/modes, where the number of modes retained and estimated determines in a natural way the approximation quality. An algorithm for estimating the modes using an online optimisation approach is presented, under the assumption that the noisy measurements are quantized.
Mar 28, 2023 · Abstract:In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy ...
In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected ...
Mar 29, 2023 · PDF | In this paper we consider the problem of estimation of scalar field distribution collected from noisy measurements.
In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected ...
The use of model (3) is motivated by results from approximation theory, which show that many fields can be approximated arbitrarily closely provided a ...
Estimation of scalar field distribution in the Fourier domain ; Journal: Digital Signal Processing, 2024, p. 104371 ; Publisher: Elsevier BV ; Authors: Alex S.
In this paper we consider the problem of estimation of scalar field distribution collected from noisy measurements. The field is modelled as a sum of ...
The nu- merical method most frequently used is the Fast Fourier Transform (FFT), which computes the far field as the Fourier transform of the field distribution ...
Abstract. Motivated by our ongoing work in robotics for precision agri- culture, in this work we consider the problem of estimating a scalar field.