Neuromorphic sampling of signals in shift-invariant spaces

AJ Kamath, CS Seelamantula - arXiv preprint arXiv:2306.05103, 2023 - arxiv.org
Neuromorphic sampling is a paradigm shift in analog-to-digital conversion where the
acquisition strategy is opportunistic and measurements are recorded only when there is a …

Time encoding sampling of bandpass signals

Z Liu, X Feng, S Chen - 2023 31st European Signal Processing …, 2023 - ieeexplore.ieee.org
This paper investigates the problem of sampling and reconstructing bandpass signals using
two-channel time encoding machine (TEM). It is shown that the sampling in principle is …

Neuromorphic Sampling of Sparse Signals

AJ Kamath, CS Seelamantula - arXiv preprint arXiv:2310.15750, 2023 - arxiv.org
Neuromorphic sampling is a bioinspired and opportunistic analog-to-digital conversion
technique, where the measurements are recorded only when there is a significant change in …

Multichannel time-encoding of finite-rate-of-innovation signals

AJ Kamath, CS Seelamantula - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Time-encoding of continuous-time signals is an alternative sampling paradigm to Shannon
sampling. In time-encoding or event-driven sampling, the signal is encoded using a …

Time-Based Finite-Rate-of-Innovation Sampling for Variable-Pulse-Width Signal

N Fu, H Zhang, S Yun, Z Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The finite-rate-of-innovation (FRI) sampling method can reconstruct signals with few
samples. However, classical FRI sampling often has serious model mismatch when dealing …

Robust Time-Based Finite-Rate-of-Innovation Sampling Method and Hardware Implementation

N Fu, H Zhang, L Qiao - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate measurement of parameters guarantees the quality of signal sampling. In the
classical sampling frame-work, sampler measures the intensity of signal uniformly at specific …