Accurate frequency estimation with short time series data - maximum entropy methods or Yule Walker AR method?
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I am using the Lomb-Scargle code to estimate some frequencies in a short time-series, the time series is shown in the first image. The results of the Lomb-Scargle analysis are shown in the second, and I have zoomed in on a prominent peak at about 2 cycles per day. However this peak is smeared and thus it is proving difficult to resolve the real frequency of this component. Is there any other methods, or improvements to the method I am using, to accurately resolve the important frequency components within this short time-series?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/147114/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/147115/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/147116/image.png)
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