A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation.
Shu CaiQuan ZhouHongbo ZhuPublished in: Sensors (2016)
Keyphrases
- semidefinite programming
- maximum likelihood
- doa estimation
- maximum margin
- canonical correlation analysis
- linear programming
- parameter estimation
- em algorithm
- expectation maximization
- markov networks
- primal dual
- kernel matrix
- maximum a posteriori
- estimation error
- hyperparameters
- sound source
- machine learning
- signal to noise ratio
- image processing
- learning algorithm