Simulations show the GEF algorithm is more robust to the eigenspread of a covariance matrix than the well-known adaptive principal component extraction (APEX) algorithm.

• 模拟结果表明，与著名的侧权连接学习算法相比，我们提出的并行算法收敛快并提高了对输入过程特征分布的稳健性。