4 papers
Adaptive Integrate-and-Fire Time Encoding Machine with Quantization
Aseel Omar, Alejandro Cohen
An integrate-and-fire time-encoding machine (IF-TEM) is an effective asynchronous sampler that translates amplitude information into non-uniform time sequences. In this work, we pr…
Two-Stage Decoding Algorithm and Bounds for Group Testing with Prior Statistics
Ayelet C. Portnoy, Amit Solomon, Alejandro Cohen
In this paper, we propose an efficient two-stage decoding algorithm for non-adaptive Group Testing (GT) with general correlated prior statistics. The proposed solution can be appli…
Adaptive Compressed Integrate-and-Fire Time Encoding Machine
Vered Karp, Aseel Omar, Alejandro Cohen
Integrate-and-Fire Time Encoding Machine (IF-TEM) is a power-efficient asynchronous sampler that converts analog signals into non-uniform time-domain samples. Adaptive IF-TEM (AIF-…
Self-Calibrating Integrate-and-Fire Time Encoding Machine
Maya Mekel, Vered Karp, Satish Mulleti +1
In this paper, we introduce a novel self-calibrating integrate-and-fire time encoding machine (S-IF-TEM) that enables simultaneous parameter estimation and signal reconstruction du…