Periodic Functions and Fourier Series Periodic Functions A function f is periodic if it is defined for all real and if there is some positive number, T such that f T f . f 0 T f 0 T f 0 T Fourier Series f be a periodic function with period 2 The function can be represented by a trigonometric series as: n 1 n 1 f a0 an cos n bn sin n n 1 n 1 f a0 an cos n bn sin n What kind of trigonometric (series) functions are we talking about? cos , cos 2 , cos 3 and sin , sin 2 , sin 3 0 0 cos cos 2 2 cos 3 0 0 sin sin 2 2 sin 3 We want to determine the coefficients, an and bn . Let us first remember some useful integrations. cos n cos m d 1 1 cosn m d cosn m d 2 2 cos n cos m d 0 nm cos n cos m d nm sin n cos m d 1 1 sinn m d sinn m d 2 2 sin n cos m d 0 for all values of m. sin n sin m d 1 1 cosn m d cosn m d 2 2 sin n sin m d 0 sin n sin m d nm nm Determine a0 Integrate both sides of (1) from to f d a0 an cos n bn sin n d n 1 n 1 f d a0d an cos n d n 1 bn sin n d n 1 f d a d 0 0 0 f d 2a0 0 0 1 a0 2 f d You may integrate both sides of (1) from 0 to 2 instead. f d 0 2 2 0 a0 an cos n bn sin n d n 1 n 1 It is alright as long as the integration is performed over one period. 2 f d 0 2 2 0 0 a0d 2 0 2 0 an cos n d n 1 bn sin n d n 1 2 f d a0d 0 0 0 2 0 f d 2a0 0 0 1 a0 2 2 0 f d Determine Multiply (1) by an cos m and then Integrate both sides from to f cos m d a0 an cos n bn sin n cos m d n 1 n 1 Let us do the integration on the right-hand-side one term at a time. First term, a0 cos m d 0 Second term, n 1 an cos n cos m d Second term, a n cos n cos m d am n 1 Third term, b n 1 n sin n cos m d 0 Therefore, f cos m d am am 1 f cos m d m 1, 2, Determine Multiply (1) by bn sin m and then Integrate both sides from to f sin m d a0 a n cos n bn sin n sin m d n 1 n 1 Let us do the integration on the right-hand-side one term at a time. First term, a0 sin m d 0 Second term, a n 1 n cos n sin m d Second term, a n 1 n cos n sin m d 0 Third term, b n n 1 sin n sin m d bm Therefore, f sin m d bm bm 1 f sin md m 1, 2 , The coefficients are: 1 a0 2 f d am f cos m d bm 1 1 f sin m d m 1, 2, m 1, 2, We can write n in place of m: 1 a0 2 f d an f cos n d bn 1 1 f sin n d n 1, 2 , n 1, 2 , The integrations can be performed from 0 to 2 1 a0 2 2 0 an 2 bn 1 2 1 0 0 instead. f d f cos n d f sin n d n 1, 2 , n 1, 2 , Example 1. Find the Fourier series of the following periodic function. f A 0 -A 2 3 4 5 f A when 0 A when 2 f 2 f 1 2 a0 f d 2 0 2 1 f d f d 0 2 2 1 A d A d 0 2 0 an 1 2 0 f cos n d 2 1 A cos n d A cos n d 0 2 1 sin n 1 sin n A A 0 n 0 n bn 1 2 0 f sin n d 2 1 A sin n d A sin n d 0 2 1 cos n 1 cos n A A n 0 n A cos n cos 0 cos 2n cos n n A cos n cos 0 cos 2n cos n bn n A 1 1 1 1 n 4A when n is odd n A cos n cos 0 cos 2n cos n bn n A 1 1 1 1 n 0 when n is even Therefore, the corresponding Fourier series is 4A 1 1 1 sin sin 3 sin 5 sin 7 3 5 7 the function looks like the following. 1.5 1 0.5 f() 0 0.5 1 1.5 Types of periodic waveforms • Amplitude varies in a repeating manner amplitude modulation • Frequency varies in a repeating manner frequency modulation • The shape of the waveform varies in a repeating manner - nonsinusoidal periodic wave Amplitude modulation (AM) Carrier frequency plus side bands Frequency modulation (FM) Modulation determines the number of side bands Periodic nonsinusoidal signals Harmonic series Harmonic series • Harmonic frequencies are integer multiples of the fundamental frequency, i.e. w, 2w, 3w, 4w … • Dirichlet’s rule states that the energy in higher harmonics falls off exponentially with the frequency of the harmonic • Note, however, that some animals alter the amplitude of harmonics by selective filtering during sound production Compound signals • Nonsinusoidal modulation of a sine wave • Sinusoidal modulation of a nonsinusoidal carrier wave • Nonsinusoidal modulation of a nonsinusoidal carrier wave Pulsed sine wave (frog or insect) Fourier analysis of aperiodic signals • Most natural signals have a short, not infinite, duration • The more aperiodic a signal is, the more frequency components are needed to describe the signal with a Fourier series • In the limit, an infinitely short signal has constant amplitude at all frequencies, a delta pulse Finite sounds and Fourier ‘lobes’