Denoising and reconstruction of nonlinear dynamics using truncated reservoir computing
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Measurements acquired from distributed physical systems are often sparse and noisy. Therefore, signal processing and system identification tools are required to mitigate noise effects and reconstruct unobserved dynamics from limited sensor data. However, this ... ...
