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Measured electroencephalography (EEG) signals can be contaminated with other electrophysiological signal sources. This contamination decreases accuracy of neuroengineering applications such as brain computer interfaces. This paper focuses on the removal of electrooculography (EOG) that strongly appears in frontal electrodes EEG. To develop an EOG removal algorithm, we propose to utilize recently developed...
There are many studies that collect and store life log for personal memory. The paper explains how a system can create someone's life log in an inexpensive way to share daily life events with family or friends through socialnetwork or messaging. In the modern world where people are usually busier than ever, family members are geographically distributed due to globalization of companies and humans...
The bit error probability for quadrature amplitude modulation (QAM) with L -fold space diversity in Rayleigh fading channels using earlier Log-likelihood ratio (LLR) approach is presented in this article. Two combining techniques, Maximal Ratio Combiner (MRC) and Selection Combining (SC) are considered for the analysis. LLR is used for the individual bits forming a QAM symbol to derive expression...
This paper presents a text independent speaker identification system using multi-band features with artificial neural network. Linear predictive cepstrum coefficients (LPCCs) computed from sub-band signals with higher order statistics (HOS) are employed as the main features to represent the speaker characteristics. The multi-band representation of the speech signal is implemented by empirical mode...
In this paper, a localization based approach of audio signal separation from binary mixtures is carried out. The audio sources are localized in the spatial domain (azimuth plane) using the delay and amplitude variation cues between two microphones' signals. A coherence based technique is introduced here to localize the audio sources in adverse acoustical environment. The mixture signals are decomposed...
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