Separation Performance of ICA Algorithms on FECG and MECG Signals Contaminated by Noise.
S. D. ParmarH. K. PatelJ. S. SahambiPublished in: AACC (2004)
Keyphrases
- noisy data
- independent component analysis
- learning algorithm
- orders of magnitude
- face recognition
- worst case
- signal processing
- theoretical analysis
- signal detection
- neural network
- low signal to noise ratio
- noisy environments
- computer vision
- computationally efficient
- significant improvement
- gaussian noise
- computational complexity
- image segmentation