@inproceedings{0f0ad2f31fd04fc5a04ddadcf493e92b,
title = "IDENTIFICATION OF PULSE STREAMS OF UNKNOWN SHAPE FROM TIME ENCODING MACHINE SAMPLES",
abstract = "We present an algorithm for the resolution of delayed and overlapping pulses of a common unknown shape from multichannel measurements. We show that just a few Fourier samples acquired by a Time Encoding Machine (TEM) suffice to solve this challenging problem. This acquisition scheme is desired for ultra-low power applications in wearables, such as EMG skin sensor tattoo. Numerical experiments demonstrate exact recovery of the time delays and Fourier series coefficient of the pulse shape in the noiseless case as predicted by the theory, with acceptable error in the presence of noise.",
keywords = "Blind deconvolution, subspace method, superresolution, time encoding machine",
author = "Meghna Kalra and Yoram Bresler and Kiryung Lee",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE; 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",
year = "2022",
doi = "10.1109/ICASSP43922.2022.9746893",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5148--5152",
booktitle = "2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings",
address = "United States",
}