Using PRUSS for Real-Time Applications on Beaglebone Black

Anand, Anjitha M.; Raveendran, Balu; Cherukat, Shoukath; Shahab, Shiyas

doi:10.1145/2791405.2791408

Cited by 7 publications

(1 citation statement)

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“…This test signal is coupled to a combination of a custom PCB with buffer amplifiers, sampling filters, an ADS8556 ADC [ 18 ], and the direct IO inputs of the Beaglebone Black’s coprocessor [ 19 ]. This combination was manually developed by Verreycken et al [ 20 ] for classical Nyquist sampling.…”

Section: Generated Firmware In Actionmentioning

confidence: 99%

Automated Firmware Generation for Compressive Sensing on Heterogeneous Hardware

Baeyens

Denil

Steckel

et al. 2022

Sensors

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In this paper, a model-based firmware generator is presented towards complex sampling schemes. The framework is capable of automatically generating a fixed-rate Shannon-compliant acquisition scheme, as well as a variable-rate compressive sensing acquisition scheme. The generation starts from a model definition, which consists of two main components, namely an acquisition sequence to implement and the platform on which the sequence should be implemented. This model is then combined with the specifications to be transformed into a functional firmware. When generating firmware for compressive sensing (CS) purposes, the defined acquisition sequence is automatically generated to implement a pseudo-random sampling scheme in agreement with the defined undersampling factor. The evaluation of the generated firmware is done by means of an example use-case, including a proposed strategy for synchronization between CS setups. This research attempts to reduce the development complexity for embedded CS to lower the threshold towards effective usage in the field.

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Section: Generated Firmware In Actionmentioning

confidence: 99%