ML and EM Estimation of Sampling Intervals of Sensor Devices.
Ryouichi NishimuraYôiti SuzukiPublished in: ICASSP (2020)
Keyphrases
- maximum likelihood
- parameter estimation
- em algorithm
- expectation maximization
- log likelihood function
- maximum likelihood estimation
- estimation algorithm
- real time
- mobile devices
- sensor networks
- density estimation
- sensor data
- monte carlo
- estimation error
- mixture model
- multi sensor
- unsupervised learning
- accurate estimation
- importance sampling
- sensor fusion
- gaussian mixture model
- sampling algorithm
- sampling strategy
- generative model
- mobile phone
- sampling methods
- neural network