Searched refs:mR (Results 1 – 4 of 4) sorted by relevance
28 public Matrix mR; // observationNoiseCovariance field in KalmanFilter46 Matrix tS = mH.dot(mP).dotTranspose(mH).plus(mR); in update()57 + " R: " + mR in toString()
45 mFilter.mR = new Matrix(1, new double[]{1.0}); in VelocityBasedConnectedScore()92 mFilter.mR.put(0, 0, standardDeviation * standardDeviation); in updateUsingRssi()
66 kf.mR = new Matrix(1, new double[]{measurementVariance}); in initializePll()
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