SIGNAL

Belief Flow Coprocessor / ARTIX-7 FPGA

Massively parallel epistemic transport engine. Fixed-topology information fusion at deterministic latency. Where spontaneous symmetry breaking meets real-time sensor algebra.

BFC-V1 / Q16.16 Fixed-Point
01 / Specifications

 

Platform
ARTIX-7 FPGA

XC7A200T-2FBG484

Clock Domain
50-100 MHz

Synchronous fabric

Numeric Format
Q16.16 Fixed

Saturating arithmetic

State Dimension
n=2 to n=8

Compile-time config

Sensor Channels
k=3 to k=16

Heterogeneous rates

Latency Bound
< 10 μs

End-to-end guarantee

Pipeline Architecture

Ingress → Normalize → Gate → Transport → Weight → Route → Accumulate

Each morphism is a typed stream transformer with valid/ready handshake. Time monotonicity preserved across heterogeneous sensor domains. Quality flags propagate deterministically through the dataflow graph.

Evidence accumulation in information form: Λ_new = Λ_old + Λ_evidence, η_new = η_old + η_evidence. State recovery via on-chip LDLᵀ solver or host-side inversion.

02 / Deployment

TARGET DOMAINS

Deep Space

Exoplanet Surveyor

Multi-spectral telescope array fusion across parsec-scale baselines. Coherent signal extraction from 10⁻²³W photon streams with adaptive uncertainty weighting.

01
Defense Systems

Tactical Swarm

Distributed drone coordination through epistemic consensus. 1000+ agent fusion at <5ms latency over lossy mesh networks.

02
Research Lab

Quantum Decoherence Monitor

Real-time Bayesian inference on quantum state tomography data. Continuous belief transport across Hilbert space projections.

03
BioMed Interface

Neural Prosthetic

96-channel neural spike train fusion into motor intent vectors. Adaptive Kalman transport with cortical plasticity compensation.

04
Aerospace

Hypersonic Flight Control

Mach 12+ sensor fusion under plasma blackout. Gyro-star tracker-accelerometer transport through non-Gaussian turbulence models.

05
Particle Physics

Dark Matter Detector

Xenon TPC event reconstruction with multi-PMT coincidence. Null-result aware evidence accumulation across 10⁶ channels.

06
03 / Architecture

CORE INVARIANTS

01 / DETERMINISTIC

DETERMINISTIC LATENCY

Bounded end-to-end delay from sensor input to fused state output. No batch windows. No jitter. Hardware guarantees at fabric level.

02 / COMPOSITIONAL

COMPOSITIONAL MORPHISMS

Small typed stream transformers with verifiable laws. Time monotonicity. Quality propagation. Fusion associativity up to rounding error.

03 / INFORMATION

INFORMATION FORM

Gaussian belief representation as (Λ,η) pairs. Additive fusion. FPGA-friendly structured accumulation. Optional on-chip solver for small n.

04 / FIXED-POINT

FIXED-POINT ALGEBRA

Q16.16 format throughout. Bounded quantization error. Saturation semantics. Bit-exact golden model verification. No floating-point uncertainty.

04 / Reference

IMPLEMENTATION

HDL

  • SystemVerilog
  • Handshaked streams

Toolchain

  • Vivado 2023.2
  • CocoTB testbench
  • Python golden

Interface

  • UART / SPI
  • USB-FIFO
  • Memory-mapped

Verification

  • Bit-exact model
  • Property checks

Resources

Status

  • V1 Prototype
  • Active Dev

© 2025 GOLDSTONE Project. Licensed under MIT.

Math first. Hardware second. Vibes never.