Blind Deconvolution for Jump-Preserving Curve Estimation

Table 2

Comparison of the MSE values of the three methods in various cases when $f=f_2$. The numbers in parentheses are the standard errors.

Method	$n=200\mathrm{\hspace{0.17em}\hspace{0.17em}}$			$n=400$			$n=1000$
	$\sigma =.1\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\mathrm{\hspace{0.17em}\hspace{0.17em}}\sigma =.2\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.5\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.1\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.2\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\mathrm{\hspace{0.17em}\hspace{0.17em}}\sigma =.5\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.1\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.2\mathrm{\hspace{0.17em}\hspace{0.17em}}$	$\sigma =.5)$
New	.0012	.0051	.0195	.0006	.0018	.0088	.0002	.0012	.0038
	(.0001)	(.0003)	(.0008)	(.00004)	(.0001)	(.0004)	(.00003)	(.00005)	(.0002)
CLLK	.0066	.0118	.0275	.00344	.0066	.0171	.0021	.0041	.0109
	(.0001)	(.0002)	(.0006)	(.00003)	(.0001)	(.0004)	(.00002)	(.00004)	(.0002)
JPCF	.0052	.0106	.0336	.00222	.0043	.0151	.0017	.0020	.0086
	(.0003)	(.0004)	(.0009)	(.0001)	(.0001)	(.0004)	(.00003)	(.00005)	(.0002)