Discrete-time Signal Process

주제무·2023년 1월 31일
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DAE Lab

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23. 1. 30.

Discrete time signal

Definition

discrete signal

x = {x[n]}

if there is analog signal x_a, and x[n] are sample of the signal,
then

x[n] = x_a(nT)

unit sample sequence

refering to it as impulse

δ[n] = 0, n != 0 and 1, n = 0

any sequence can be expressed as

x[n] = Σ_k x[k] * δ[n-k]

Power, Energy

power

P=limT1T(T/2)(T/2)x(t)2dt (Watts)P=\underset{T\rightarrow\infty}{lim} \dfrac{1}{T} \int_{-(T/2)}^{(T/2)} \lvert x(t) \lvert ^2 dt \ (Watts)

energy

E=x(t)2dt (Joules)E=\int_{-\infty}^\infty \lvert x(t) \lvert ^2 dt \ (Joules)

Convolution

(fg)(t)=f(τ)g(tτ)dτ(f*g)(t) = \int_{-\infty}^\infty f(\tau)g(t-\tau)d\tau

Reference. https://towardsdatascience.com/a-comprehensive-introduction-to-different-types-of-convolutions-in-deep-learning-669281e58215

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