Signal processing algorithms optimized for Gaussian noise may degrade significantly in a non-Gaussian noise environment. Therefore it is important to characterize the noise accurately before including its structure in the formulation of algorithms. A generic distribution suitable for modeling non-Gaussian ambient noise in the kurtosis range 1.8>or= beta /sub 2/>or=4.2 is derived.
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机译：在非高斯噪声环境中，针对高斯噪声进行了优化的信号处理算法可能会大大降低性能。因此，在将噪声的结构包括到算法公式中之前，准确地表征噪声非常重要。得出了适用于对峰度范围为1.8> or = beta / sub 2 /> or = 4.2的非高斯环境噪声建模的通用分布。
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