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Since A is obtuse and a > c, there is one solution. For C: For B: For b: sin C B b 180 a sin B sin A c sin A a (C 421 sin 130 50r 525 A) 11 50 525(0.2051) 0.7566 11 50 , and b 142 142. 421(0.7566) 525 0.6067 and C 37 20r

e 2 4

Another form of the Fourier series representation of a real periodic signal x ( t ) with fundamental period To is

f 5 4

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Equation (5.15) can be derived from Eq. (5.8) and is known as the harmonic form Fourier series of x(t). The term Co is known as the d c component, and the term C, cos(kwot - 0,) is referred to as the kth harmonic component of x(t). The first harmonic component -~ C, C O S ( ~ , 8,) is commonly called the fundamental component because it has the same fundamental period as x(t). The coefficients C, and the angles 8, are called the harmonic amplitudes and phase angles, respectively, and they are related to the Fourier coefficients a, and b, by

33 40 . Refer to Fig. 11.11(a).

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For a real periodic signal ~ ( r ) the Fourier series in terms of complex exponentials as , given in Eq. (5.4) is mathematically equivalent to either of the two forms in Eqs. (5.8) and (5.15). Although the latter two are common forms for Fourier series, the complex form in Eq. (5.4) is more general and usually more convenient, and we will use that form almost exclusively.

g 6 2

E. Convergence of Fourier Series:

h 1 6

Since A is acute and a < b, there is the possibility of two solutions. For B: sin B b sin A a (A 51.8 sin 33 40r 31.5 65 40 and B B) 80 40 0.9117 114 20 . (A B) 32 0 31.5 sin 32 0r sin 33 40r 30.1

It is known that a periodic signal x(t) has a Fourier series representation if it satisfies the following Dirichlet conditions:

a 144

x ( t ) is absolutely integrable over any period, that is,

b 81

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2. x(t) has a finite number of maxima and minima within any finite interval of t . 3. x(t) has a finite number of discontinuities within any finite interval of t, and each of these discontinuities is finite. Note that the Dirichlet conditions are sufficient but not necessary conditions for the Fourier series representation (Prob. 5.8).

56.1 30.1

F. Amplitude and Phase Spectra of a Periodic Signal:

c 16

Consider the complex exponential signal with Fourier transform (Prob. 5.23) X(w) = 2 d q w - 0,) Then from Eqs. (5.66) and ( I .26) we have Y(o)

11.12 A pilot wishes a course 15 0 against a wind of 25 mi/h from 160 30 . Find his required heading and the groundspeed when the airspeed is 175 mi/h. Refer to Fig. 11.11(b).

d 225

- too)

e 64

Taking the inverse Fourier transform of Y(w), we obtain y(f ) = H(wo) eioll' which indicates that the complex exponential signal ei"l)' is an eigenfunction of the LTI system with corresponding eigenvalue H(w,), as previously observed in Chap. 2 (Sec. 2.4 and Prob. 2.171. Furthermore, by the linearity property (5.491, if the input x ( t ) is periodic with the Fourier series ~ ( 1= )

Since / BAC is acute and a > c, there is one solution. sin C B b c sin /BAC a 180 a sin B sin / BAC 25 sin 34 30r 175 / ACB) 175 sin 140 50r sin 34 30r 25(0.5664) 175 140 50r 175(0.6316) 0.5664 0.0809 and / ACB 4 40r

(5.73)

f 400

If x ( t ) is not periodic, then from Eq. (5.30)

g 144

Case IV 11.13 Solve the triangle ABC, given a 132, b 224, and C 28 40 . Refer to Fig. 11.12(a).

Thus, the behavior of a continuous-time LTI system in the frequency domain is completely characterized by its frequency response H(w 1. Let

h 36

X ( w ) = IX(o)leiexcw)

Y ( o )= lY(w)leiey(o)

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