Finite length white noise generation with an immuno inspired algorithm
作者：
Highlights：
• An immuno-inspired algorithm is proposed to generate white noise sequences.
• The algorithm is based on the optimization of a whiteness criterion.
• A whiteness criterion is clearly stated and implemented.
• The algorithm presents an automatic regulation of suppression threshold.
• The results obtained are better than ones obtained with a pseudo-random generator.
摘要
•An immuno-inspired algorithm is proposed to generate white noise sequences.•The algorithm is based on the optimization of a whiteness criterion.•A whiteness criterion is clearly stated and implemented.•The algorithm presents an automatic regulation of suppression threshold.•The results obtained are better than ones obtained with a pseudo-random generator.
论文关键词：White noise,White noise generation,Immuno-inspired algorithms
论文评审过程：Received 2 August 2016, Revised 11 October 2016, Accepted 11 October 2016, Available online 21 October 2016, Version of Record 28 October 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.023
