public class KalmanFilter private double estimate = 0.0; private double errorCov = 1.0; private final double q; // process noise private final double r; // measurement noise
// Update estimate estimate = estimate + k * (measurement - estimate); dass 341 eng jav full
for (Sensor s : sensors) pool.submit(() -> s.read(); System.out.println(s.getId() + ": " + s.getValue()); ); public class KalmanFilter private double estimate = 0
public KalmanFilter(double q, double r) this.q = q; this.r = r; private double errorCov = 1.0
public final class Measurement private final Instant timestamp; private final double strain;