Fourier Transform

Definition: F(ω) = ∫₋∞^∞ f(t)·e^(-jωt) dt | f(t) = (1/2π)∫₋∞^∞ F(ω)·e^(jωt) dω
Common Transform Pairs
f(t)F(ω)Notes
δ(t)1Dirac delta
12π·δ(ω)Constant
u(t) (unit step)π·δ(ω) + 1/(jω)
e^(-at)·u(t), a>01/(a + jω)Decaying exponential
e^(jω₀t)2π·δ(ω - ω₀)Complex exponential
cos(ω₀t)π[δ(ω-ω₀) + δ(ω+ω₀)]
sin(ω₀t)jπ[δ(ω+ω₀) - δ(ω-ω₀)]
rect(t/T)T·sinc(ωT/2)Rectangle pulse
sinc(t) = sin(πt)/(πt)rect(ω/2π)Sinc function
e^(-a|t|), a>02a/(a² + ω²)Two-sided exponential
e^(-at²)√(π/a)·e^(-ω²/4a)Gaussian
t·e^(-at)·u(t)1/(a+jω)²
Properties
PropertyTime DomainFrequency Domain
Linearityaf(t) + bg(t)aF(ω) + bG(ω)
Time Shiftf(t - t₀)F(ω)·e^(-jωt₀)
Frequency Shiftf(t)·e^(jω₀t)F(ω - ω₀)
Time Scalingf(at)(1/|a|)·F(ω/a)
DualityF(t)2π·f(-ω)
Differentiationf'(t)jω·F(ω)
Integration∫f(τ)dτF(ω)/(jω) + πF(0)δ(ω)
Convolutionf(t) * g(t)F(ω)·G(ω)
Multiplicationf(t)·g(t)(1/2π)F(ω) * G(ω)
Parseval's Theorem∫|f(t)|² dt(1/2π)∫|F(ω)|² dω
Discrete Fourier Transform (DFT)
DFT: X[k] = Σ(n=0 to N-1) x[n]·e^(-j2πkn/N) IDFT: x[n] = (1/N) Σ(k=0 to N-1) X[k]·e^(j2πkn/N) Key properties: - Periodicity: X[k] = X[k+N] - Conjugate symmetry (real input): X[N-k] = X*[k] - FFT computes DFT in O(N log N) vs O(N²)