Noise benefits in joint detection and estimation problems.
Abdullah Basar AkbaySinan GeziciPublished in: Signal Process. (2016)
Keyphrases
- estimation problems
- joint detection
- minimum mean square error
- parameter estimation
- high dimensional
- signal to noise ratio
- noise level
- noise reduction
- state estimation
- gaussian noise
- covariance matrices
- hypothesis testing
- denoising algorithm
- least squares support vector machine
- computer vision
- multiresolution
- feature selection