Fast shape parameter estimation method for CGGD
A very fast and effective shape parameter estimation implementation for the complex generalized Gaussian distribution (CGGD).
It can be applied to radar images, magnetic resonance imaging, wireless communications, and Fourier transformed data, wherein complex-valued data are intrinsic in these fields. If you used this implementation in your study, you should cite our work in your paper or report.
Leng, Xiangguang, et al. “Fast Shape Parameter Estimation of the Complex Generalized Gaussian Distribution in SAR Images.” IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 1–5, doi:10.1109/lgrs.2019.2960095
Cite As
luckight leng (2024). Fast shape parameter estimation method for CGGD (https://www.mathworks.com/matlabcentral/fileexchange/69582-fast-shape-parameter-estimation-method-for-cggd), MATLAB Central File Exchange. Retrieved .
Leng, Xiangguang, et al. “Fast Shape Parameter Estimation of the Complex Generalized Gaussian Distribution in SAR Images.” IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 1–5, doi:10.1109/lgrs.2019.2960095.
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Continuous Distributions > Student's t Distribution >
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demo_CSK2shape
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