The new method treats the problem of parameter estimation and noise reduction for chaotic time series as a nonlinear minimization process and solves it using steepest descent algorithm.

• 这种新方法把对混沌时间序列的参数估计和噪声抑制看作是一种最小化过程，并利用了最速梯度下降方法解决。