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Automated Firmware Generation for Compressive Sensing on Heterogeneous Hardware.

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Summary
This summary is machine-generated.

This paper introduces a model-based firmware generator for complex sampling schemes, simplifying the creation of fixed-rate and compressive sensing (CS) acquisition systems. The tool reduces development complexity for embedded CS, enabling wider field application.

Keywords:
code generationcompressive sensingembedded designheterogeneous hardwaremeasurementmodel-based designsignal acquisitionsynchronizationsystem engineering

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Area of Science:

  • Embedded Systems Engineering
  • Signal Processing
  • Data Acquisition

Background:

  • Developing firmware for complex sampling schemes, particularly for compressive sensing (CS), is challenging.
  • Existing methods often require significant expertise and development time.
  • There is a need for streamlined solutions to facilitate the adoption of CS in embedded applications.

Purpose of the Study:

  • To present a model-based firmware generator for creating both fixed-rate and variable-rate compressive sensing acquisition schemes.
  • To automate the generation of pseudo-random sampling sequences for CS firmware based on undersampling factors.
  • To reduce the complexity of developing embedded CS systems and lower the barrier to entry for practical field use.

Main Methods:

  • A model-based framework is used, defining acquisition sequences and target platforms.
  • The framework automatically generates functional firmware from model definitions and specifications.
  • For CS, it generates pseudo-random sampling schemes tailored to specified undersampling factors.

Main Results:

  • Successful automatic generation of fixed-rate Shannon-compliant and variable-rate CS acquisition firmware.
  • Demonstrated firmware generation for CS with pseudo-random sampling aligned with undersampling factors.
  • An example use-case evaluated the generated firmware, including a synchronization strategy for CS setups.

Conclusions:

  • The model-based firmware generator effectively simplifies the development of complex sampling schemes for embedded systems.
  • The framework facilitates the implementation of compressive sensing with reduced complexity and improved usability.
  • This approach aims to accelerate the adoption and effective deployment of embedded CS technologies in various fields.