Denoising chaotic time series using an evolutionary state estimation approach.
Diogo C. SorianoRomis AttuxJoão M. T. RomanoMurilo Bellezoni LoiolaRicardo SuyamaPublished in: CICA (2011)
Keyphrases
- state estimation
- denoising
- chaotic time series
- phase space
- neural network
- short term
- mackey glass
- image denoising
- recurrent neural networks
- rbf network
- kalman filter
- kalman filtering
- dynamic systems
- image processing
- particle filter
- dynamic behavior
- wavelet domain
- feed forward neural networks
- back propagation neural network
- long term
- particle filtering
- visual tracking
- chaotic systems
- radial basis function
- dynamical systems
- ordinary differential equations
- function approximation
- back propagation
- video sequences
- learning algorithm