Precision scaling for mechatronic telemetry buffers #17
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Standard mechatronic state estimations utilize high frequency floating point vectors for velocity and position tracking. When serializing this telemetry for permanent record on Stacks rails, we must account for the specific bitwise constraints of Clarity buffers. Is it more efficient to utilize integer scaling with bit shifting or should we rely on fixed point arithmetic within the settlement layer to ensure satoshi level accuracy? |
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We should utilize integer scaling combined with bit shifting for the altitude and velocity vectors to minimize packet size. This methodology allows us to compress high frequency sensor data without sacrificing the integrity of the state estimation. We reserve BigInt operations specifically for the financial settlement logic where satoshi precision is mandatory for autonomous resource procurement. |
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We should utilize integer scaling combined with bit shifting for the altitude and velocity vectors to minimize packet size. This methodology allows us to compress high frequency sensor data without sacrificing the integrity of the state estimation. We reserve BigInt operations specifically for the financial settlement logic where satoshi precision is mandatory for autonomous resource procurement.