Often it seems that old papers are the most insightful. Back then, the research cycle was shorter and scientists had more institutional support. They had more time to think.
This paper has always amazed me. It's an incredibly creative means to getting the characteristics of a recurring shape from a noisy time series signal. It's sort of like what wavelet analysis does. It's remarkably effective.
The author skips a lot of steps in his work in the paper. Here is a link to a stepwise derivation of the method.
This paper has always amazed me. It's an incredibly creative means to getting the characteristics of a recurring shape from a noisy time series signal. It's sort of like what wavelet analysis does. It's remarkably effective.
The author skips a lot of steps in his work in the paper. Here is a link to a stepwise derivation of the method.
https://drive.google.com/file/d/1ytbqe-zL9j7hddm4TTU3egXdnm7...