Now showing items 1-3 of 3
Implementing eigen features methods/neural network for EEG signal analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2013-01)
This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ...
Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
Objective of this paper is to investigate whether the noise in attitude dynamics model and measurement model is Gaussian white noise process or not. This is important because if the assumption regarding the noise is wrong, ...
Statistical formant descriptors with linear predictive coefficients for accent classification
(Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ...