Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
The application of orthogonal sampling for parallel neural recording is presented in this paper. Orthogonal sampling enables reducing the number of the I Cs in conventional recording systems into one single unit. Consequently, the ADC bandwidth and dynamic e is effectively employed and shared between all the channels without any loss in the temporal information of the channels during s u piing, which is not the case of time-multiplexed ADCs. A 4-channel ne I recording system based on orthogonal sampling is implemented in a 0.18 um technology with a power consumption of 1.26 mu W per channel supplied at 0.8 V to validate the proposed methodology.
Christophe Ancey, Zhenzhu Meng