On the Performance Analysis of the Least Mean M-Estimate and Normalized Least Mean M-Estimate Algorithms with Gaussian Inputs and Additive Gaussian and Contaminated Gaussian Noises.
S. C. ChanYi ZhouPublished in: J. Signal Process. Syst. (2010)
Keyphrases
- gaussian noise
- probability density
- gaussian model
- data mining
- estimation algorithm
- maximum likelihood
- noisy data
- linear computational complexity
- impulse response
- gaussian mixture
- computational cost
- learning algorithm
- density estimation
- benchmark datasets
- optimization problems
- denoising
- accurate estimation
- zero crossing
- computational complexity
- data sets