Fourier transform = F. Introduction to Fourier Optics, J. Goodman Fundamentals of Photonics, B. Saleh &M. Teich. x y x y x y

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Transcription:

Fourier transform Introduction to Fourier Optics, J. Goodman Fundamentals of Photonics, B. Saleh &M. Teich f( x, y) FT g( f, f ) f( x, y) IFT g( f, f ) x x y y + 1 { g( f, ) } x fy { π } f( x, y) = g( f, f )exp j2 ( xf + yf ) df df =F { f( x, y) } { π } + x y x y g( f, f ) = f( x, y)exp j2 ( f x+ f y) dxdy = F x y x y x y

Properties of 1D FT

Properties of 1D FT

Some frequently used functions

Some frequently used functions

Time duration and spectral width The rms width The power rms width (most of the measurement quantities) (Principles of optics 7 th Ed, 10.8.3, p615)

Time duration and spectral width

Widths at 1/e, 3-dB, half-maximum 1 f(t) t = 2τ.

Superposition of plane waves 2D Fourier transform

Properties of 2D FT

Properties of 2D FT

Properties of 2D FT

Fourier and Inverse Fourier Transform ( f, f ) x y α β β α

Fourier Transform with Lenses back focal plane Input placed against lens Input placed behind lens Input placed in front of lens

A thin lens as a phase transformation Intro. to Fourier Optics, Chapter 5, Goodman. φ ( x, y) = knδ( x, y) + k[ Δ0 Δ( x, y) ] ( x, y) = exp[ jkδ 0 ] exp[ jk( n 1) Δ( x y) ] t l, U ( x, y) = t ( x, y) U ( x y) ' l l l, Ul ( x, y) U ' l ( x, y) R 1 >0 (concave) R 2 <0 (convex) ( x, y) 2 2 2 x + y x + y = Δ0 R1 1 1 + R2 1 1 2 R1 R2 Δ 2 2

The Paraxial Approximation ( ) [ ] ( ) + Δ = 2 1 2 2 0 1 1 2 1 exp exp, R R y x n jk jkn y x t l ( ) 2 1 1 1 1 1 R R n f concave : 0 < f convex : 0 > f ( ) ( ) + = 2 2 2 exp, y x f k j y x t l Phase representation of a thin lens (paraxial approximation) focal length

t l k ( ) ( 2 2 ) x, y = exp j x + y 2 f > 0 : convex f Types of Lenses f < 0 : concave

Collimating property of a convex lens Fig. 1.21, Iizuka Plane wave! z i

How can a convex lens perform the FT f o f o

Fourier transforming property of a convex lens The input placed directly against the lens Pupil function ; P ( x, y) 1 inside the lens aperture = 0 otherw ise k U x y U x y P x y j x y 2 f (, ) = l (, ) (, ) exp ( + ) ' 2 2 l From the Fresnel diffraction formula ( z = f ): U l U l k 2 2 exp j ( u + υ ) 2 f ' k 2 2 2π U f ( u, υ ) = Ul ( x, y) exp j ( x + y ) exp j ( xu + yυ ) dxdy jλ f 2 f λ f k 2 2 exp j ( u + υ ) 2 f 2π U f ( u, υ) = U l ( x, y) P ( x, y) exp j ( xu + yυ) dxdy jλ f λ f Quadratic phase factor Fourier transform

Fourier transforming property of a convex lens The input placed in front of the lens k d 2 2 Aexp j 1 ( u ) 2 f f + υ 2π U f ( u, υ) = Ul( x, y) exp j ( xu yυ) dxdy jλf + λf If d = f A 2π U f ( u, υ) = Ul( x, y) exp j ( xu yυ) dxdy jλf + λf Exact Fourier transform!

( ) ( ) d f d j u d k j A u U f λ υ υ + = 2 2 2 exp, ( ) ( ) η ξ υη ξ λ π η ξ η ξ d d u d j d f d f P t A + 2 exp,, Fourier transforming property of a convex lens Fourier transforming property of a convex lens The input placed behind the lens Scaleable Fourier transform! By decreasing d, the scale of the transform is made smaller. ( ) ( ) ( ) η ξ η ξ η ξ η ξ, 2 exp,, 2 2 0 A t d k j d f d f P d Af U + =

Invariance of the input location to FT

Imaging property of a convex lens From an input point S to the output point P ; magnification Fig. 1.22, Iizuka

Diffraction-limited imaging of a convex lens From a finite-sized square aperture of dimension a x a to near the output point P ;

FT in cylindrical (polar) coordinates ( x, y) ( r, θ ) ( f, f ) x ( ρφ, ) y In rectangular coordinate In cylindrical coordinate

FT in cylindrical coordinates

FT in cylindrical coordinates (Ex) Circular aperture : for the special case when

Special functions in Photonics

Special functions in Photonics

Special functions in Photonics

Appendix : Linear systems

Appendix : Shift-invariant systems

Appendix : Linear shift-invariant causal systems

Example : The resonant dielectric medium p.180 Response to harmonic (monochromatic) fields : Let, Susceptibility of a resonant medium :

Appendix : Transfer function