More precise instruments can be constructed using less precise components
Evidence from sensor array and control system studies confirms that advanced signal processing, redundancy, and adaptive algorithms can achieve high-precision system performance using lower-precision or noisy components.
The retrieved papers include several examples where algorithmic error mitigation, redundancy, and advanced data processing (such as in papers [2] and [10]) enable high-accuracy measurements and reliable system control derived from low-precision or noisy individual components. The claim is well supported by these engineering and instrumentation studies.
Gerken E, König A. Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping.. 2025. https://doi.org/10.3390/s25133841
Paper [2] demonstrates that combining low-cost, imprecise redundant sensors through multidimensional mapping significantly reduces measurement error and enhances system reliability.
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Chen X, Yang T, Zhang B, Zhang L. L-SHADE-Optimized Active Disturbance Rejection for Sensorless PMSM Drives Under Complex Uncertainties.. 2026. https://doi.org/10.3390/s26113389
Paper [10] shows that adaptive control algorithms can compensate for noisy currents and quantization errors, thereby reducing reliance on high-precision sensing hardware.
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