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Brain-computer interface (BCI) uses brain activity for communication and control of objects in their environment without the participation of peripheral nerves and muscles. BCI technology can help improve the quality of life and restore functions for people with severe motor disabilities. We used combinations of wavelet entropy (WE) and band powers (BP) for feature extraction in BCI system which was...
In this study, a brain-computer interface (BCI) using electrocorticograms (ECoG) is proposed. Feature extraction is an important task that significantly affects the classification results. First, the discrete wavelet transform was applied to ECoG signals from one subject performing imagined movements of either the left small-finger or the tongue. After preprocessing, relative wavelet energy of selected...
Steganalysis is taken as a countermeasure to steganography and is detecting and decoding hidden data within a given media. There has been quite some effort in audio steganalysis for additive embedding model. However, when they distinguish the cover-audio signal with multiplicative noise and the stego-audio signal, results are disappointing. In this paper, a wavelet domain audio steganalysis method...
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