Non-negative matrix factorization for EEG

Today with the progress of science and technology becomes signal analysis, data analysis and data mining are very Important in most science and engineering applications. Extracting useful knowledge from experimental raw datasets, measurements, observations and analysis and understand complex data has become very important challenge in the world. The raw datasets in most common is collected from complex phenomena that express to integrated result of various hidden related variables or they are set of underlying hidden component of factors. The complex raw dataset first must be decomposition by dimensionally reduction method such as matrix decomposition to extraction the hidden information or hidden factors of complex raw dataset.