Application of digital filtering for minimizing aliasing effects in atmospheric turbulent surface layer spectra

We propose a very simple and straightforward technique to reduce aliasing effects on the digital spectra of turbulent data from field experiments. A detailed analysis of the technique is done, and it is tested and compared with more traditional low-pass filtering and with oversampling. The proposed method shows satisfactory results for all tests performed.