Non-asymptotic performance bounds of eigenvalue based detection of signals in non-Gaussian noise.
Ron HeimannAmir LeshemEphraim ZehaviAnthony J. WeissPublished in: ICASSP (2016)
Keyphrases
- low signal to noise ratio
- signal detection
- noisy environments
- worst case
- weak signal
- random noise
- independent component analysis
- detection algorithm
- automatic detection
- rates of convergence
- weak signal detection
- upper bound
- asymptotically optimal
- blind source separation
- false alarms
- non stationary
- signal noise ratio
- finite sample
- lower bound
- noise reduction
- anti noise
- white noise
- large deviations
- phase locked
- error bounds
- upper and lower bounds
- signal processing
- false positives
- detection method
- face recognition
- object detection
- biomedical signals
- continuous wavelet transform
- maximum likelihood
- missing data
- speech recognition
- covariance matrix
- detection rate
- noise model
- signal to noise ratio
- noise level