A Preliminary Analysis on Impact of Additive Flicker Noise on Detection Sensitivity of Neural Spikes.
Erik S. EisenHakan TöreyinPublished in: EMBC (2019)
Keyphrases
- preliminary analysis
- low signal to noise ratio
- noise immunity
- signal detection
- noisy environments
- high sensitivity
- detection accuracy
- automatic detection
- detection algorithm
- network architecture
- anomaly detection
- object detection
- continuous wavelet transform
- anti noise
- computing education
- random noise
- false alarm rate
- multiscale
- noise level
- signal to noise ratio
- neural network
- detection method
- noisy data
- associative memory
- noise reduction
- target detection
- bio inspired
- detection rate
- sensitivity analysis
- spiking neural networks
- median filter
- denoising
- digital images
- artificial neural networks
- false alarms