Waveform resampling with LMN method
Lino Gerlach, Wenqiang Gu, Nitish Nayak, Xin Qian, Brett Viren

TL;DR
This paper introduces the LMN method, an FFT-based optimization for waveform resampling that enhances speed and robustness, demonstrated through applications in particle physics experiments.
Contribution
The paper presents the LMN method, a novel FFT-based optimization for waveform resampling, improving efficiency and robustness over existing methods.
Findings
LMN method achieves faster resampling performance.
It provides more robust results in noisy conditions.
Effective in particle physics waveform re-sampling.
Abstract
Resampling is a common technique applied in digital signal processing. Based on the Fast Fourier Transformation (FFT), we apply an optimization called here the LMN method to achieve fast and robust re-sampling. In addition to performance comparisons with some other popular methods, we illustrate the effectiveness of this LMN method in a particle physics experiment: re-sampling of waveforms from Liquid Argon Time Projection Chambers.
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Taxonomy
TopicsImage and Signal Denoising Methods
