... non-Gaussian signal 非高斯信号 non-Gaussian distribution 非高斯分布 non-Gaussian linear process 非高斯线性过程 ...
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Non-Gaussian signal processing is a new signal processing field in recent years.
非高斯信号处理是近年来发展起来的一个信号处理的新领域。
参考来源 - α稳定分布噪声下的时延估计与滤波方法的研究Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
参考来源 - 基于分数低阶统计量的图像滤波与检测·2,447,543篇论文数据，部分数据来源于NoteExpress
One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise.
高阶统计量在信号处理中成功的应用例子之一是估计高斯相关噪声中非高斯信号的时延参数。
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.
该文利用小波包变换的时频局部分析能力，研究了非高斯分布平稳随机噪声的统计特性，揭示了非高斯噪声信号的信号结构。
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