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@@ -3,6 +3,7 @@ Minimalist Matlab implementation of a random process generation in one point
 
 [![View One-point random process generation on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://se.mathworks.com/matlabcentral/fileexchange/76854-one-point-random-process-generation)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3890406.svg)](https://doi.org/10.5281/zenodo.3890406)
+[![Donation](https://camo.githubusercontent.com/a37ab2f2f19af23730565736fb8621eea275aad02f649c8f96959f78388edf45/68747470733a2f2f77617265686f7573652d63616d6f2e636d68312e707366686f737465642e6f72672f316339333962613132323739393662383762623033636630323963313438323165616239616439312f3638373437343730373333613266326636393664363732653733363836393635366336343733326536393666326636323631363436373635326634343666366536313734363532643432373537393235333233303664363532353332333036313235333233303633366636363636363536353264373936353663366336663737363737323635363536653265373337363637)](https://www.buymeacoffee.com/echeynet)
 
 ## Summary
 A stationary Gaussian random process is generated using the spectral method. This means that the function requires only two inputs: the target power spectral density (PSD) and the associated frequency vector.