Computationally Efficient Robust Chinese Remainder Theorem for Frequency Estimation from Undersampled Waveforms

Robust and Efficient Frequency Estimator for Undersampled Waveforms Based on Frequency Offset Recognition

This paper proposes an efficient frequency estimator based on Chinese Remainder Theorem for undersampled waveforms. Due to the emphasis on frequency offset recognition (i.e., frequency shift and compensation) of small-point DFT remainders, compared to estimators using large-point DFT remainders, it can achieve higher noise robustness in low signal-to-noise ratio (SNR) cases and higher accuracy ...

Computationally efficient angle estimation for signals with known waveforms

The Chinese Remainder Theorem

Computationally efficient and robust frequency-domain GSC

In this paper, we propose a novel adaptive beamforming algorithm with low signal distortion capability and high computational efficiency. The proposed algorithm incorporates the crosstalk-resistant adaptive noise canceller (CTRANC) in place of the usual adaptive interference canceller (AIC). Doing so, a better signal leakage estimate is provided at the adaptive interference canceller input but ...

Robust Threshold Schemes Based on the Chinese Remainder Theorem

Recently, Chinese Remainder Theorem (CRT) based function sharing schemes are proposed in the literature. In this paper, we investigate how a CRT-based threshold scheme can be enhanced with the robustness property. To the best of our knowledge, these are the first robust threshold cryptosystems based on a CRT-based secret sharing.