This dataset accompanies a research paper on leveraging Machine Learning (ML) techniques for regression to predict the optimum DC bias in direct current in optical orthogonal frequency division multiplexing (DCO-OFDM).  The dataset comprises a set of features to facilitate the prediction of the required DC bias to mitigate the impact of clipping distortion at the transmitter. MATLAB software was utilized for modelling the DCO-OFDM transmission and generating the research dataset.

DOI Link: 
10.21227/3hk9-ea41
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Dataset Files

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[1] Marwah Salman, "Optimum DC bias for clipping distortion mitigation in DCO-OFDM", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/3hk9-ea41. Accessed: Dec. 26, 2024.
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doi = {10.21227/3hk9-ea41},
url = {http://dx.doi.org/10.21227/3hk9-ea41},
author = {Marwah Salman },
publisher = {IEEE Dataport},
title = {Optimum DC bias for clipping distortion mitigation in DCO-OFDM},
year = {2024} }
TY - DATA
T1 - Optimum DC bias for clipping distortion mitigation in DCO-OFDM
AU - Marwah Salman
PY - 2024
PB - IEEE Dataport
UR - 10.21227/3hk9-ea41
ER -
Marwah Salman. (2024). Optimum DC bias for clipping distortion mitigation in DCO-OFDM. IEEE Dataport. http://dx.doi.org/10.21227/3hk9-ea41
Marwah Salman, 2024. Optimum DC bias for clipping distortion mitigation in DCO-OFDM. Available at: http://dx.doi.org/10.21227/3hk9-ea41.
Marwah Salman. (2024). "Optimum DC bias for clipping distortion mitigation in DCO-OFDM." Web.
1. Marwah Salman. Optimum DC bias for clipping distortion mitigation in DCO-OFDM [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/3hk9-ea41
Marwah Salman. "Optimum DC bias for clipping distortion mitigation in DCO-OFDM." doi: 10.21227/3hk9-ea41