ProjectsProject Details

Adaptive and Compressed Time Encoding Machine

Project ID: 7719-2-24
Year: 2024
Student/s: Shaked Peleg and Alejandro Greiver
Supervisor/s: Aseel Omar & Prof. Alejandro Cohen

An integrate-and-fire time-encoding machine (IF-TEM) is an energy-efficient asynchronous sampler. The sampling method is based on translating amplitude information into non-uniform time sequences. In that way, in contrast to the classic Nyquist sampler with a quantizer, there is a better use of energy, as well as a significant improvement in the reconstruction process. By knowing the functional behavior of a given signal, i.e. amplitude information, instead of sampling uniformly every constant period time, the sampler only samples when a specific event happens. The adaptive IF-TEM (AIF-TEM) is a sampler which dynamically adapts to the amplitude and frequency variations of the input. The compressed IF-TEM (CIF-TEM) is a sampler that aims to decrease the number of bits required by compressing analogously the samples before the quantization stage.

In this work, we present a new design for a time-encoding machine that incorporates the analog compression design, combined with the adaptive version of IF-TEM. We refer to this design as CAIF-TEM. The whole configuration is done prior to the quantization stage.

Poster for Adaptive and Compressed Time Encoding Machine