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Showing 1 to 4 of 4 for “"moving average filter"”.

  1. Mobility modeling and topology prediction in cognitive mobile networks

    … the accuracy, several mobility prediction filters such as moving average filter, Kalman filter and low pass filter have been applied to the approximate location data. The simulation is done to calculate the error between the original location data and the coarse approximations, and the …

    uoit Repository record for Mobility modeling and topology prediction in cognitive mobile networks (opens in a new tab)

  2. Development and trialling of a low-power wearable fall detector

    … Method 2 and Method 3 used a differential moving average filter and a Kalman filter for pressure signal processing, respectively. Method 2 achieved a sensitivity of 91.8% and a specificity of 95.2%, a false alarm rate of 0.035 alarms/hour, and a battery life of 1437 days with a 3.7 V, 450 …

    unsw Repository record for Development and trialling of a low-power wearable fall detector (opens in a new tab)

  3. A Discrete Roughness Index for Longitudinal Road Profiles

    … roughness, quantifies roughness based on the average suspension travel for a particular vehicle at a prescribed speed. The Discrete Roughness Index (DRI) developed in this work address fundamental limitations of the IRI. Specifically, the DRI is calculated for each discretely measured location …

    vt Repository record for A Discrete Roughness Index for Longitudinal Road Profiles (opens in a new tab)

  4. Fuzzy Analysis of Speech Metrics to Estimate Crew Alertness

    … is used to create the believability metric. A moving average filter eliminates the short term fluctuations and determines the long term trend of the output. A moving standard deviation estimation quantifies instantaneous fluctuations and provides a measure of the difference to a nominal …

    vt Repository record for Fuzzy Analysis of Speech Metrics to Estimate Crew Alertness (opens in a new tab)