
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.


coremsg

sliding-dft-based-signal-recovery-for-modulo-adc-with-1-bit-folding-information-reducing-observation-time-and-spectral-leakage-effects


Sliding DFT-based Signal Recovery for Modulo ADC with 1-bit Folding Information: Reducing Observation Time and Spectral Leakage Effects


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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.


super-resolution-generalized-eigenvalue-method-for-true-sub-nyquist-sampling-using-matrix-pencil-and-chinese-remainder-theorem


Super-Resolution Generalized Eigenvalue Method for True Sub-Nyquist Sampling Using Matrix Pencil and Chinese Remainder Theorem
