A Comparison of EEG Preprocessing Methods

Multichannel recordings of EEG data during various mental tasks are processed using two popular methods, independent component analysis (ICA) and matching pursuit (MP). The results are fed to a time delay neural network (TDNN) for classification of each mental task. Based on the results of the test sets, we analyzed the effectiveness of ICA and MP methods for use in EEG preprocessing and TDNN classification. It is shown that ICA is more effective than MP in lowering the neural network classification error; however this advantage is not significant

Optimal Microphone Placement for Source Localization

A commonly used method for Acoustic Source Localization is based on Time Delay Estimation (TDE). In general discrete TDE algorithms are used which result in discrete Time Di#erence of Arrival (TDOA) estimates, i.e. range di#erences. The Position Location of an acoustic source can be calculated using a set of TDOAs. The accuracy of the position greatly depends upon the accuracy of the estimated TDOAs. In this paper it is shown that discrete TDOAs result in a non-uniformly distributed spatial resolution across the room furthermore it is shown how the sample frequency and the microphone distance effect the spatial resolution. Finally the e#ect upon spatial resolution for di#erent microphone setups is demonstrated. Keywords---Source localization, Time Delay Estimation, Optimal Microphone Placement