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IPM
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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 13332
School of Cognitive Sciences
  Title:   Data Compression in Brain-Machine/Computer Interfaces Based on the Walsh-adamard Transform
  Author(s): 
1.  H. Hosseini-Nejad
2.  A. Jannesari
3.  A.M. Sodagar,
  Status:   Published
  Journal: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
  Vol.:  8
  Year:  2014
  Pages:   129-137
  Supported by:  IPM
  Abstract:
This paper reports on the application of the Walsh-Hadamard transform (WHT) for data compression in brain-machine/brain-computer interfaces. Using the proposed technique, the amount of the neural data transmitted off the implant is compressed by a factor of at least 63 at the expense of as low as 4.66

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