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аналитика - SignalProcessing
Sliding DFT-based Signal Recovery for Modulo ADC with 1-bit Folding Information: Reducing Observation Time and Spectral Leakage Effects
This paper introduces a novel signal recovery method for modulo ADCs using a sliding DFT approach with 1-bit folding information, which reduces observation time and mitigates spectral leakage, potentially outperforming conventional ADCs in oversampled systems.
Super-Resolution Generalized Eigenvalue Method for True Sub-Nyquist Sampling Using Matrix Pencil and Chinese Remainder Theorem
This paper proposes a novel super-resolution generalized eigenvalue method, integrating the matrix pencil method and Chinese Remainder Theorem (CRT), to enhance signal processing capabilities within a true sub-Nyquist framework for improved frequency resolution and accuracy in high-frequency signal extraction.
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