分形高斯噪声fgn是分形布朗运动的增量过程，广泛应用于自相似过程的建模分析。
Fractional Gaussian Noise (FGN) is the increment process of fractional Brownian motion, they are widely used in modelling self-similar process.
我们修改基于特征的增量编码模型，根据稀疏编码原理，将其扩展成层次结构，并利用高斯金字塔解决尺度问题。
We expand it into two-layer structure based on sparse coding theory, and use Gaus-sian pyramid to solve scale problems.
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