Sep 29, 2023 · This article presents an efficient method for measuring the model order of FRI signals by leveraging the low-rank features of Toeplitz matrices.
Abstract. The Finite Rate of Innovation (FRI) sampling theory offers a pathway for the sub-Nyquist sampling of non-bandlimited parametric signals.
An Efficient Estimation Method for the Model Order of FRI Signal Based ...
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Abstract— The finite rate of innovation (FRI) sampling theory offers a pathway for the sub-Nyquist sampling of nonbandlim- ited parametric signals.
In this paper, we propose a sub-Nyquist sampling and parameters measurement method for FRI signals based on random demodulation (RD) with non-ideal low-pass ...
Recent developed finite rate of innovation (FRI) technology provides an efficient sub-Nyquist sampling and parameter measurements method for signals.
An Efficient Estimation Method for the Model Order of FRI Signal Based on Sub-Nyquist Sampling. IEEE Trans. Instrum. Meas. 72: 1-13 (2023). [j36]. view.
In the following, we discuss a sampling kernel-based approach to determine {F(kω0)}k∈K from sub-Nyquist samples of the filtered signal. B. SAMPLING KERNEL AND ...
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An Efficient Estimation Method for the Model Order of FRI Signal Based on Sub-Nyquist Sampling. IEEE Transactions on Instrumentation and Measurement. 2023 ...
Jun 30, 2021 · The desired Fourier samples of the FRI signals can be computed by using a kernel-based sub-Nyquist sampling framework. In this framework, the ...
Abstract. Recent developed finite rate of innovation (FRI) technology provides an efficient sub-Nyquist sampling and parameter measurements method for signals.
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