Algorithm 1 WCF Algorithm
1:	INITIALIZATION:
2:	Sensor number: $i=1$; Number of sensors: $n$; Number of decomposition levels: $N$.
3:	read Ten sets of measured data ($z_1\sim z_{10}$).
4:	load Filter coefficient ($g_d,h_d$).
5:	WAVELET DECOMPOSITION:
6:	repeat
7:	Perform multiscale wavelet compression on $z_i$.
8:	Obtain compression signal data $c_{i,N}$ and detailed part $d_i=\left[d_{i,N}\cdots d_{i,1}\right]$ of the wavelet composition.
9:	$i\leftarrow i+1$.
10:	until$i=n$.
11:	FUSION ESTIMATION:
12:	Conduct data fusion on $c_{1,N}\sim c_{n,N}$ and obtain the fusion estimate $c_N$.
13:	Obtain the average $d$ of $d_1\sim d_n$.
14:	Obtain optimal estimation $\mathit{x}=\left[c_N\overline{d_N}\cdots \overline{d_1}\right]$ of wavelet coefficients after fusion estimation.
15:	Construct a threshold function and obtain the fused global threshold $T$. Then, perform threshold processing on $x$; the result is $x^{\prime }$.
16:	SIGNAL RECONSTRUCTION:
17:	repeat
18:	Take the inverse wavelet transform.
19:	Update the wavelet coefficients.
20:	$N\leftarrow N-1$.
21:	until$N=0$.
22:	END