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Grinn AstraSOM-1680: Accelerating AI-Driven SDR

Discover how AI-SDR revolutionizes radio signal processing by combining AI-driven modulation classification with software-defined radio (SDR) technology. This white paper details a system built on the Grinn AstraSOM-1680 that enables real-time spectrum analysis and automatic modulation identification, pushing the boundaries of wireless signal processing. Learn about its architecture, implementation, and potential applications in spectrum monitoring and wireless communication research.

Content

What`s inside?

  • 01 Real-time spectrum analysis with AI modulation classification
  • 02 Automatic identification of seven modulation types (8PSK, BPSK, FSK, QAM16, QAM64, QPSK, WBFM)
  • 03 Deep learning model implementation using MobileNetV3 and NPU acceleration
  • 04 Web-based user interface for SDR control and data visualization
  • 05 Integration of HackRF One SDR for radio signal capture
  • 06 Applications in wireless signal detection, including FM radio and remote control transmissions
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Grinn AstraSOM-1680 CPU vs NPU Performance in IoT Edge Applications

This whitepaper explores the real-world performance of the Grinn AstraSOM-1680 in edge AI applications, comparing its CPU-based inference to NPU-accelerated execution. It highlights the module’s ability to significantly boost processing speed and energy efficiency in AI-powered embedded systems — making it a compelling solution for low-power, high-performance IoT deployments.

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