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신호의 에너지와 평균 전력

신호의 에너지와 평균 전력

Definition1

Analog Signal

The energy of an analog signal fLpf \in L^{p} EfE_{f} is defined as follows.

Ef:=f(t)2dt=f22 E_{f} := \int_{-\infty}^{\infty} \left| f(t) \right|^{2} dt = \left\| f \right\|_{2}^{2}

If Ef<E_{f} \lt \infty, then ff is called an energy signal. For ff, which is not an energy signal, the mean power PfP_{f} is defined as follows.

Pf:=limT1TT2T2f(t)2dt P_{f} := \lim\limits_{T \to \infty} \dfrac{1}{T}\int_{-\frac{T}{2}}^{\frac{T}{2}} \left| f(t) \right|^{2}dt

If Pf<P_{f} \lt \infty, then ff is called a power signal.

Digital Signal

The energy ExnE_{x_{n}} of a digital signal xn={xn}px_{n} = \left\{ x_{n} \right\} \in \ell^{p} is defined as follows. Exn:=nNxn2=xn22 E_{x_{n}} := \sum\limits_{n \in \mathbb{N}} \left| x_{n} \right|^{2} = \left\| x_{n} \right\|_{2}^{2}

If Exn<E_{x_{n}} \lt \infty, then xnx_{n} is called an energy signal. For xnx_{n}, which is not an energy signal, the mean power PxnP_{x_{n}} is defined as follows.

Pxn:=limT1Tn=1Txn2 P_{x_{n}} := \lim\limits_{T \to \infty} \dfrac{1}{T} \sum\limits_{n=1}^{T} \left| x_{n} \right|^{2}

If Pxn<P_{x_{n}} \lt \infty, then xnx_{n} is called a power signal.

Description

In other words, an element of the L2L^{2} / 2\ell^{2} space is called an energy signal, and the 22-norm 2\left\| \cdot \right\|_{2} of the energy signal is called the energy. Since energy is the 22-norm, we obtain the following from the Plancherel’s Theorem.

Plancherel’s Theorem

f^22=2πf22\| \hat{f} \|_{2}^{2} = 2\pi \| f \|_{2}^{2}

If f^\hat{f} is the Fourier transform of ff,

Ef=f(t)2dt=12πf^(ω)2dω E_{f} = \int \left| f(t) \right|^{2} dt = \dfrac{1}{2\pi} \int | \hat{f}(\omega) |^{2} d\omega

then f^(ω)2| \hat{f}(\omega) |^{2} is called the energy spectrum (density) of ff and is denoted as follows.

Sf(ω)=Sff(ω):=f^(ω)2 S_{f}(\omega) = S_{ff}(\omega) := | \hat{f}(\omega) |^{2}


  1. 최병선, Wavelet 해석 (2001) p23-26 ↩︎