A proposal of blind equalization algorithm using over-sampling for received signals including noise.
Katsuyuki WatanabeMinoru KomatsuHiroki MatsumotoToshihiro FurukawaPublished in: ISPACS (2013)
Keyphrases
- blind equalization algorithm
- low pass filtering
- layer feed forward neural network
- band limited
- biomedical signals
- low signal to noise ratio
- signal processing
- noisy environments
- signal to noise ratio
- signal detection
- white noise
- signal noise ratio
- noisy data
- sampled data
- weak signal detection
- noise level
- noise model
- random noise
- direct sequence spread spectrum
- monte carlo
- received signal
- sampling algorithm
- neural network
- heart rate
- row column
- missing data
- blind equalization
- low frequency
- sampling strategy
- slowly varying
- sample size
- non stationary
- spectral analysis
- artificial neural networks