Davis Logic V2: Fixed-Point Signal Variance Normalizer for Embedded Systems

A 4.7 KB text file containing C++ source code for a bare-metal embedded signal processing component. The module, authored by Jamie Davis and last updated on 2026-05-31, implements a zero-heap, zero-copy sliding window variance normalizer for automated gain control in streaming telemetry.

Use Cases

• Implementing automated gain control (AGC) for telemetry signals based on the described variance normalization algorithm.
• Developing zero-heap, zero-copy signal conditioning stages for bare-metal embedded systems as described in the module overview.
• Studying fixed-point arithmetic implementations using Q16.16 format for variance calculation to prevent quantization errors.
• Optimizing single-pass statistical calculations for sliding windows in real-time streaming applications as outlined in the mathematical architecture.

Strengths

• Explicitly uses zero-heap and zero-copy architecture, consuming 0 bytes of heap memory.
• Implements integer-only arithmetic with 64-bit registers and Q16.16 fixed-point format to minimize quantization errors.
• Includes hardware-level output clamping to prevent overflow, bounded between +2147483647 and -2147483648.

Limitations

• Row count and column-level documentation are absent; data structure must be inferred from the source code.
• The dataset is a 4.7 KB text file, indicating a very limited scope focused on a single algorithm implementation.

Provenance

Source

Jamie Davis (Independent Systems Architect)

Collection Method

Source code implementation of a signal processing algorithm.

Time Range

2026-05-31

Freshness

Last updated 2026-05-31 21:18:42.

Geography

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