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Fourier Transform and its basic Properties:

Fourier Transform:

$ \ F(f) = \int_{-\infty}^{\infty} x(t)\ e^{- j 2 \pi f t}\,dt $

Inverse Fourier Transform:

$ \ f(t) = \int_{-\infty}^{\infty} X(f)\ e^{j 2 \pi f t}\,df $
                                                                                 for every real number f & x.

Basic Properties of Fourier Transforms:

Suppose a and b are any complexn numbers, if h(x) ƒ(x) and g(x) Fourier Transform to H(f) F(f) and G(f) respectively, then

Linearity:

If $ \ h(t) = a.f(t) + b.g(t) $ then $ \ H(f)= a.F(f)+b.G(f) $

Time Shifting:

If $ \ f(t)=g(t-t_0) $ then $ \ F(f)=e^{-2\pi i f t_0 }G(f) $

Frequency Shifting:

If $ \ f(t)= e^{2\pi i t f_0}g(t) $ then $ \ F(f)=G(f-f_0) $

Time Scaling:

If $ \ f(t)=g(at) $ then $ \ F(f)=\frac{1}{|a|} G(\frac{f}{a}) $

Convolution: Convolution in Time domain corresponds to multiplication in Frequency domain.

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang