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Fourier Series
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1Fourier series is an important tool for analysing periodic signals in the [blank_start]frequency[blank_end] [blank_start]domain[blank_end]
Expresses signals as a sum of [blank_start]sine[blank_end] and [blank_start]cosine[blank_end] functions
Allows us to observe the frequency spectrum of the signal and see the effect of [blank_start]filtering[blank_end] [blank_start]out[blank_end] certain frequencies- Afrequency
- Bdomain
- Csine
- Dcosine
- Efiltering
- Fout
2First harmonic is the [blank_start]fundamental[blank_end] frequency where n = 1 and f = [blank_start]1/T[blank_end]
For each harmonic the frequency is the harmonic number x f e.g. third harmonic frequency = [blank_start]3/T[blank_end]
a0 is the [blank_start]dc[blank_end] [blank_start]offset[blank_end] of the periodic signal
Dirchlet conditions - signal must be [blank_start]single[blank_end] values
- signal must be [blank_start]piecewise[blank_end] continuous
- signal and its derivative must be piecewise continuous over the period- Afundamental
- B1/T
- C3/T
- Ddc
- Eoffset
- Fsingle
- Gpiecewise
3To plot the fourier series as a frequency spectrum, plot [blank_start]sqrt(an^2+bn^2)[blank_end] against [blank_start]frequency[blank_end]
Gibb's phenomenon; if there are [blank_start]discontinuities[blank_end] over a period, there is an [blank_start]overshoot[blank_end] at the point of discontinuity
An even function is reflected in the [blank_start]y[blank_end] axis so only need to calculate [blank_start]an[blank_end]
An odd function is symmetrical about the [blank_start]origin[blank_end] so only need to calculate [blank_start]bn[blank_end]
Even x even = [blank_start]even[blank_end]
Even x odd = [blank_start]odd[blank_end]
Odd x odd = [blank_start]odd[blank_end]- Asqrt(an^2+bn^2)
- Bfrequency
- Cdiscontinuities
- Dovershoot
- Ey
- Fan
- Gbn
- Horigin
- Ieven
- Jodd
- Kodd
4Average power in the nth harmonic Pn = [blank_start]1/2(an^2+bn^2)[blank_end] (1)
The average power in all harmonics is the total average power in a periodic signal v(t)
You can plot (1) against frequency to get [blank_start]power[blank_end] [blank_start]density[blank_end] [blank_start]spectrum[blank_end]- A1/2(an^2+bn^2)
- Bpower
- Cdensity
- Dspectrum
5Complex Fourier Series
When written as infinite sum of complex exponentials the complex coefficient is [blank_start]cn[blank_end]
Cn = 1/2([blank_start]an[blank_end]-[blank_start]jbn[blank_end])- Acn
- Bjbn
- Can
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- Description
- Signals and Communications 1 (Fourier Series) Quiz on Fourier Series, created by Rebecca Perriment on 21/05/2018.
- Author
- Rebecca Perriment
- Language
- English
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