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Application and Optimisation of the Spatial Phase Shifting ...

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62 Electronic or Digital Speckle Pattern Interferometry<br />

signal I(x) with suitable "filter functions" <strong>of</strong> <strong>the</strong> frequency ν 0x , where generally ν 0x ν x is assumed. It is<br />

however essential to note that we will later be concerned with <strong>the</strong> effects <strong>of</strong> ν x ≠ν 0x . To measure <strong>the</strong><br />

phase, we define <strong>the</strong> filter functions as<br />

S( x) = − sin 2πν<br />

x<br />

0x<br />

C( x) = cos2πν x ,<br />

0x<br />

(3.31)<br />

<strong>and</strong> <strong>the</strong> multiplications yield <strong>the</strong> signals<br />

I ( x) S( x)<br />

M I ( x)<br />

= − Ib<br />

( x)<br />

sin 2πν0x<br />

x + sin ϕ + π ν − ν0 − sin ϕ + π ν + ν0<br />

2<br />

I ( x) C( x)<br />

( ( ( x) 2 ( ) x) ( ( x) 2 ( ) x)<br />

)<br />

x x x x<br />

M I ( x)<br />

= Ib<br />

( x) cos2πν0x<br />

x + ( cos( ϕ( x) + 2π ( νx − ν0x ) x) + cos( ϕ( x) + 2π ( νx + ν 0x<br />

) x)<br />

) .<br />

2<br />

(3.32)<br />

Both <strong>of</strong> <strong>the</strong> equations contain contributions from <strong>the</strong> pure carrier frequency <strong>and</strong> from difference <strong>and</strong> sum<br />

frequencies. Since ν x ν 0x , <strong>the</strong> difference frequencies are low; in <strong>the</strong> ideal case, ν x –ν 0x =0, <strong>and</strong> <strong>the</strong> lowfrequency<br />

contribution is determined by ϕ(x) alone. One can think <strong>of</strong> <strong>the</strong> fringes resulting from <strong>the</strong><br />

multiplication as a moiré effect [Wom84, Ara97, Kat97]. The second step <strong>of</strong> synchronous detection is to<br />

remove, or "filter out", <strong>the</strong> high-frequency terms by integrating <strong>the</strong> product functions, which gives <strong>the</strong> socalled<br />

"filter outputs". This integration, or filtering, is achieved by <strong>the</strong> cross-correlation functions<br />

∞<br />

∫<br />

S'( x') = I ( x) S( x − x')<br />

dx<br />

−∞<br />

∞<br />

∫<br />

C'( x') = I ( x) C( x − x')<br />

dx<br />

−∞<br />

(3.33)<br />

if we calculate <strong>the</strong>m for x'=0. The "filter outputs" <strong>the</strong>refore are<br />

∞<br />

∫<br />

S'( 0) = I ( x) S( x) dx ∝ sin ϕ( x)<br />

−∞<br />

∞<br />

∫<br />

C'( 0) = I ( x) C( x) dx ∝ cos ϕ ( x)<br />

.<br />

−∞<br />

(3.34)<br />

Using <strong>the</strong> central ordinate <strong>the</strong>orem [Bra87, p. 136] toge<strong>the</strong>r with <strong>the</strong> convolution <strong>the</strong>orem [Bra87, p. 110],<br />

we can replace I(x), S(x) <strong>and</strong> C(x) by <strong>the</strong>ir Fourier transforms * [Fre90a; Mal98, p.134] <strong>and</strong> rewrite (3.34) as<br />

* To apply <strong>the</strong> convolution <strong>the</strong>orem, we must use S(x'–x) <strong>and</strong> C(x'–x) in (3.33), which changes <strong>the</strong> correlation into a convolution.<br />

The sign change in (3.33) <strong>the</strong>n simply leads to a complex conjugation in (3.35). This is possible since S(x) <strong>and</strong> C(x) are real<br />

functions, which means that <strong>the</strong>ir Fourier transforms are Hermitian. This is, <strong>the</strong>ir real parts are even <strong>and</strong> remain unaffected by<br />

<strong>the</strong> sign change, while <strong>the</strong>ir imaginary parts are odd <strong>and</strong> must be inverted after <strong>the</strong> integrations in (3.33), although <strong>the</strong>ir<br />

contributions vanish anyway.

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