Saeid Sanei - Google Scholar Citations
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Brand new: lowest price The lowest-priced brand-new, unused, unopened, undamaged item in its original packaging where packaging is applicable. In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. See details. See all 4 brand new listings. Qty: 1 2.
- Adaptive processing of brain signals / Saeid Sanei - Details - Trove;
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The main advantage inherent in the approach is that the employed adaptive filter has only one unknown coefficient to be updated. This coefficient, having an absolute value less than 1, represents an efficient distinct feature for each EEG specific wave, and its time function reflects the non-stationarity behaviour of the EEG signal.
Therefore the proposed approach is simple and accurate in comparison with existing multivariate adaptive approaches. He has three books, a number of book chapters and over peer reviewed papers mostly with IEEE.
He has often been invited as a Keynote Speaker for prestigious international conferences, and to present in workshops in conferences, academia and industry. Professor Sanei collaborates with many national and international institutions, below are some examples:. Sanei, S. Monajemi, A. Rastegarnia, O. Geman, and S.
Lu, A. Kassim, C. Tan, S.
Khalili, A. Rastegarnia, W. Bazzi, and S. Sanei and B. Wang, Jing and S. Zaher, Azami, S.
Adaptive processing of brain signals.
Arnold, S. Sanei, Z. Chang, G. Sapiro, J.
Intro to Brain Computer Interface
Escudero, and A. Akbari, M.
Trocan, S. Sanei, and B. Latifi, A.
Related Adaptive Processing of Brain Signals
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