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Signal Power and Energy: Instantaneous, Total, Average, Parseval's Theorem, Time-Averaging, Exams of Physics

Definitions and formulas for calculating the instantaneous power, total energy, and average power of signals. It also discusses Parseval's theorem and time-averaging for periodic signals. Examples are given for various types of signals, including sinusoidal signals and complex exponential signals.

What you will learn

  • What is the difference between instantaneous power and average power of a signal?
  • How is the total energy of a signal calculated?

Typology: Exams

2021/2022

Uploaded on 09/27/2022

arold
arold 🇺🇸

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4.4 Energy and Power
Definition 4.27. For a signal g(t), the instantaneous power p(t) dissipated
in the 1-Ω resister is pg(t) = |g(t)|2regardless of whether g(t) represents a
voltage or a current. To emphasize the fact that this power is based upon
unity resistance, it is often referred to as the normalized power.
Definition 4.28. The total (normalized) energy of a signal g(t) is given
by
Eg=Z+
−∞
pg(t)dt =Z+
−∞ |g(t)|2dt = lim
T→∞ ZT
T|g(t)|2dt.
4.29. By the Parseval’s theorem discussed in 2.39, we have
Eg=Z
−∞ |g(t)|2dt =Z
−∞ |G(f)|2df.
Definition 4.30. The average (normalized) power of a signal g(t) is given
by
Pg= lim
T→∞
1
T
T/2
Z
T/2
|g(t)|2dt = lim
T→∞
1
2TZT
T|g(t)|2dt.
Definition 4.31. To simplify the notation, there are two operators that
used angle brackets to define two frequently-used integrals:
(a) The time-average operator:
hgi≡hg(t)i lim
T→∞
1
TZT/2
T/2
g (t)dt = lim
T→∞
1
2TZT
T
g (t)dt (46)
(b) The inner-product operator:
hg1, g2i≡hg1(t), g2(t)i=Z
−∞
g1(t)g
2(t)dt (47)
4.32. Using the above definition, we may write
Eg=hg, gi=hG, Giwhere G=F {g}
Pg=D|g|2E
48
pf3
pf4
pf5

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4.4 Energy and Power

Definition 4.27. For a signal g(t), the instantaneous power p(t) dissipated in the 1-Ω resister is pg(t) = |g(t)|^2 regardless of whether g(t) represents a voltage or a current. To emphasize the fact that this power is based upon unity resistance, it is often referred to as the normalized power.

Definition 4.28. The total (normalized) energy of a signal g(t) is given by

Eg =

−∞

pg(t)dt =

−∞

|g(t)|^2 dt = lim T →∞

∫ T

−T

|g(t)|^2 dt.

4.29. By the Parseval’s theorem discussed in 2.39, we have

Eg =

−∞

|g(t)|^2 dt =

−∞

|G(f )|^2 df.

Definition 4.30. The average (normalized) power of a signal g(t) is given by

Pg = lim T →∞

T

∫^ T^ /

−T / 2

|g (t)|^2 dt = lim T →∞

2 T

∫ T

−T

|g(t)|^2 dt.

Definition 4.31. To simplify the notation, there are two operators that used angle brackets to define two frequently-used integrals:

(a) The “time-average” operator:

〈g〉 ≡ 〈g (t)〉 ≡ lim T →∞

T

∫ T / 2

−T / 2

g (t)dt = lim T →∞

2 T

∫ T

−T

g (t)dt (46)

(b) The inner-product operator:

〈g 1 , g 2 〉 ≡ 〈g 1 (t) , g 2 (t)〉 =

−∞

g 1 (t)g∗ 2 (t)dt (47)

4.32. Using the above definition, we may write

  • Eg = 〈g, g〉 = 〈G, G〉 where G = F {g}
  • Pg =

|g|^2

  • Parseval’s theorem: 〈g 1 , g 2 〉 = 〈G 1 , G 2 〉 where G 1 = F {g 1 } and G 2 = F {g 2 } 4.33. Time-Averaging over Periodic Signal: For periodic signal g(t) with period T 0 , the time-average operation in (46) can be simplified to

〈g〉 =

T 0

T 0

g (t)dt

where the integration is performed over a period of g.

Example 4.34. 〈cos (2πf 0 t + θ)〉 =

Similarly, 〈sin (2πf 0 t + θ)〉 =

Example 4.35.

cos^2 (2πf 0 t + θ)

Example 4.36.

ej(2πf^0 t+θ)

= 〈cos (2πf 0 t + θ) + j sin (2πf 0 t + θ)〉

Example 4.37. Suppose g(t) = cej^2 πf^0 t^ for some (possibly complex-valued) constant c and (real-valued) frequency f 0. Find Pg.

4.38. When the signal g(t) can be expressed in the form g(t) =

k

ckej^2 πfkt

and the fk are distinct, then its (average) power can be calculated from

Pg =

k

|ck|^2

Example 4.44. Suppose g (t) = 2 cos

2 π

3 t

  • 4 cos

2 π

5 t

. Find Pg.

4.45. For periodic signal g(t) with period T 0 , there is also no need to carry out the limiting operation to find its (average) power Pg. We only need to find an average carried out over a single period:

Pg =

T 0

T 0

|g (t)|^2 dt.

(a) When the corresponding Fourier series expansion g(t) =

n=−∞

cnejnω^0 t is known,

Pg =

∑^ ∞

k=−∞

|ck|^2

(b) When the signal g(t) is real-valued and its (compact) trigonometric Fourier series expansion g(t) = c 0 + 2

k=

|ck| cos (kω 0 t + ∠ck) is known,

Pg = c^20 + 2

∑^ ∞

k=

|ck|^2

Definition 4.46. Based on Definitions 4.28 and 4.30, we can define three distinct classes of signals:

(a) If Eg is finite and nonzero, g is referred to as an energy signal.

(b) If Pg is finite and nonzero, g is referred to as a power signal. (c) Some signals^17 are neither energy nor power signals.

  • Note that the power signal has infinite energy and an energy signal has zero average power; thus the two categories are mutually exclusive.

Example 4.47. Rectangular pulse

(^17) Consider g(t) = t− 1 / (^41) [t 0 ,∞)(t), with t 0 > 0.

Example 4.48. Sinc pulse

Example 4.49. For α > 0, g(t) = Ae−αt (^1) [0,∞)(t) is an energy signal with Eg = |A|^2 / 2 α.

Example 4.50. The rotating phasor signal g(t) = Aej(2πf^0 t+θ)^ is a power signal with Pg = |A|^2.

Example 4.51. The sinusoidal signal g(t) = A cos(2πf 0 t + θ) is a power signal with Pg = |A|^2 /2.

4.52. Consider the transmitted signal x(t) = m(t) cos(2πfct + θ)

in DSB-SC modulation. Suppose M (f − fc) and M (f + fc) do not overlap (in the frequency domain).

(a) If m(t) is a power signal with power Pm, then the average transmitted power is Px =

Pm.

(b) If m(t) is an energy signal with energy Em, then the transmitted energy is Ex =

Em.

  • Q: Why is the power (or energy) reduced?
  • Remark: When x(t) =

2 m(t) cos(2πfct + θ) (with no overlapping between M (f − fc) and M (f + fc)), we have Px = Pm.