Statistical Detection of Weak Pulse Signal under Chaotic Noise Based on Elman Neural Network

Algorithm 1

	Inputs: observation signal , parameters , etc.
	Outputs: optimal value of parameters and , weak pulse signal .
	Begin
	Phase space reconstruction after normalization of observation data
	Set initial parameter values:
	While ()
	Checked by Section 2 for the presence of ;
	Construct a DEDR model according to (18);
	Estimating the value of from (19);
	Update the value of using the profile least squares method;
	Substituting the estimated value of into the model and calculating ;
	End while
	Print optimal parameter and , calculation
	End
	Note: has a weak effect on the phase space reconstruction. When iterating , its delay time and embedding dimension are unchanged.