Neuromorphic signal filter for robot sensoring

HIGHLIGHTS

• who: Luis M. Garcu0131u0301a-Sebastiau0301n and Victor H. Ponce-Ponce from the Instituto Politu00e9cnico Nacional, Centro Investigaciu00f3n en Computaciu00f3n, Mexico City, Mu00e9xico have published the research: Neuromorphic Signal Filter for Robot Sensoring, in the Journal: (JOURNAL)
• what: This approach has been proven effective with noise that is primarily out of signal frequency range. In this study, an alternative way to estimate the neuron frequency is proposed.
• how: Throughout the development of this study the leaky integrate and fire neuron (IFN) circuit proposed in Wu et_al was used as seen in Figure 1. EXPERIMENTS . . .
  

   

  

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