Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model

نویسندگان

  • Guglielmo Frigo
  • Sabrina Brigadoi
  • Giada Giorgi
  • Giovanni Sparacino
  • Claudio Narduzzi
چکیده

REGULAR PAPERS Algorithms, Artificial Intelligence, SOFT Computing and Informatics Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Wang, F. Yang, K.-L. Tsui, Q. Zhou, and S. J. Bae 1282

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عنوان ژورنال:
  • IEEE Trans. Instrumentation and Measurement

دوره 65  شماره 

صفحات  -

تاریخ انتشار 2016