Reduction of necessary data rate for neural data through exponential and sinusoidal spline decomposition using the Finite Rate of Innovation framework.
Tobias SchnierCarsten BockelmannArmin DekorsyPublished in: ICASSP (2017)
Keyphrases
- data sets
- training data
- data sources
- data points
- image data
- raw data
- statistical analysis
- data collection
- database
- neural network
- original data
- end users
- databases
- knowledge discovery
- data acquisition
- data mining techniques
- prior knowledge
- sensor data
- synthetic data
- noisy data
- b spline
- data distribution
- experimental data
- application domains
- privacy preserving
- bayesian networks
- small number
- feature space
- relational databases
- probabilistic model
- artificial neural networks