0

0

0

1

1+2xS

S

Smear

Anti-smear

unknown ampl.

Q

P

0 = P x 0 + Q x S + P x 1 P = -Q x S

1+2xS = 2 x P x S + Q x 1 Q = (1 + 2 x S) / (1 – 2 x S2)

in matlab : Q = (1 + 2*S) / (1 – 2 * S^2) ;

R = Q * [-S 1 -S] ;

uD = conv(D,R) ;

3 point anti-smearconvolution filter

D

uD

input

output

‘un-smeared’ results

a Compensation Filtercourtesy of G.Rehm DLS

FFT

IFFT

Inversethese coeff. at 0 in my first simpleanti-smear,Kees

In blue : ‘3’ point anti-smear filter

In green : ‘5’ point anti-smear filter

ZOOM of previous slide

maf

Standardraw data

5-pointAnti-smear3-point

Anti-smear

Note : horizontal shifts between 4 curves are deliberateto better distinguish the curves