Ambient noise statistics
暂无分享,去创建一个
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 >
[1] W. Torrez,et al. On Modeling the Distribution of Non-Gaussian Ambient Noise. , 1987 .
[2] John B. Thomas,et al. Detectors for discrete-time signals in non-Gaussian noise , 1972, IEEE Trans. Inf. Theory.
[3] Stuart C. Schwartz,et al. Comparison of adaptive and robust receivers for signal detection in ambient underwater noise , 1989, IEEE Trans. Acoust. Speech Signal Process..
[4] D. G. Champernowne,et al. The Graduation of Income Distributions , 1952 .