Research Article

Symplectic Principal Component Analysis: A New Method for Time Series Analysis

Figure 7

The noise reduction analysis of the proposed SPCA algorithm and PCA for the noisy Lorenz time series, where 𝐿 = 1 1 .
793429.fig.007a
(a) phase diagram for noisy data
793429.fig.007b
(b) phase diagram for clean data
793429.fig.007c
(c) Lorentz time series
793429.fig.007d
(d) phase diagram for the SPCA
793429.fig.007e
(e) phase diagram for the SPCA
793429.fig.007f
(f) the second denoised data
793429.fig.007g
(g) phase diagram for PCA
793429.fig.007h
(h) phase diagram for PCA