System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notation
Pages: 200
Category: Ingenjörsvetenskap
e-ISBN: 9781040199923
Shipping weight: 1.2 kg
Ships in: 1-2 days
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