Matched Subspace Detection With Hypothesis Dependent Noise Power.
François VincentOlivier BessonCédric RichardPublished in: IEEE Trans. Signal Process. (2008)
Keyphrases
- detection method
- low signal to noise ratio
- statistically independent
- detection algorithm
- object detection
- false positives
- power consumption
- noisy environments
- signal detection
- input data
- missing data
- anti noise
- random noise
- detection accuracy
- signal to noise ratio
- low dimensional
- principal component analysis
- noisy data
- noise reduction
- detection rate
- target detection
- subspace learning
- event detection
- vehicle detection
- frequency domain
- anomaly detection
- learning algorithm