<p>In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Vehicular Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).</p>

<p>In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).</p>

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<p>In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Vehicular Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).</p>

<p>In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Vehicular Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).</p>