Davis Logic V2: Fixed-Point Signal Autocorrelation Estimator for Embedded Systems

Module 94 of the Davis Logic V2 project details a static-memory, real-time signal autocorrelation estimator algorithm for embedded microcontrollers. The algorithm, authored by Jamie Davis and licensed under CC BY 4.0, processes data streams using a circular sliding window and 64-bit intermediate calculations to output Q16.16 fixed-point results. The 2.2 KB text file was last updated on 2026-05-31.

Use Cases

• Estimating signal periodicity for vibration analysis in industrial equipment based on the described autocorrelation calculation.
• Parsing physical telemetry data for battery-optimized IoT devices using the zero-heap, static memory architecture.
• Verifying foundational pitch or frequency characteristics in audio signals on microcontrollers as mentioned in the overview.

Strengths

• The algorithm is designed for zero-heap, zero-copy execution, guaranteeing a completely static memory footprint.
• Built-in bounds tracking clamps computational outcomes to hardware-supported limits (+2147483647 to -2147483648) for mathematical security.
• The 2.2 KB size indicates a compact, focused implementation suitable for embedded deployment.

Limitations

• The dataset is a 2.2 KB text file describing an algorithm, not a collection of processed signal data for direct analysis.
• Row count and column-level documentation are absent; the file's content is purely descriptive and architectural.
• Freshness should be verified as the last update date is in the future (2026-05-31).

Provenance

Source

Jamie Davis (Independent Systems Architect), published on figshare.

Collection Method

Algorithm description and architectural registry manifest for the Davis Logic V2 project.

Time Range

2026-05-31 (last update date).

Freshness

Last updated 2026-05-31 18:18:39.

Geography

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