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Field-programmable encoding for address-event representation.
Purohit, Prafull; Manohar, Rajit.
Affiliation
  • Purohit P; Electrical Engineering, Yale University, New Haven, CT, United States.
  • Manohar R; Electrical Engineering, Yale University, New Haven, CT, United States.
Front Neurosci ; 16: 1018166, 2022.
Article in En | MEDLINE | ID: mdl-36545536
In conventional frame-based image sensors, every pixel records brightness information and sends this information to a receiver serially in a scanning fashion. This full-frame readout approach suffers from high bandwidth requirements and increased power consumption with the increasing size of the pixel array. Event-based image sensors are gaining popularity for reducing the bandwidth and power requirements by sending only meaningful data in an event-driven approach with the help of address-event representation (AER) communication protocol. However, the event-based readout suffers from increased latency and timing error when the number of pixels with an event increase. In this paper, we introduce a new field-programmable AER (FP-AER) encoding scheme which offers benefits of both frame-based and event-based approaches. The readout design can be configured "in the field" using configuration bits. We also compare the performance of the proposed design against existing AER-based approaches for imaging applications and show that FP-AER performs best in both scanning and event-based readout.
Key words

Full text: 1 Database: MEDLINE Language: En Journal: Front Neurosci Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Language: En Journal: Front Neurosci Year: 2022 Type: Article Affiliation country: United States