New method accurately measures chaos in noisy time series.
The article discusses a method for determining the correlation dimension of noisy chaotic time series. The researchers aimed to understand how noise affects the calculation of correlation dimension in chaotic data. By using wavelet decomposition, they found a valid method to accurately determine the correlation dimension even in the presence of noise.
