Fourier Series as exactly a shifted sum of sinusoids Key idea: every periodic function with period L can be represented as a sum of sinusoids
where \omega = \frac{2\pi}{T}. notice! without the A_0 shift, our thing would integrate to 0 for every L; hence, to bias the mean, we change A_0. Now, we ideally really want to get rid of that shift term \phi, applying the sin sum formula:
we can move back and fourth before the representation as follows:
in a sense, this is a polar representation of the sum of sinusoids of system. Recall to get the actual coefficients, see General Fourier Decomposition. signal representation KEY IDEA: we can approximate all values of a function with just specifying the parameters of the sine function. In particular, any signal f is uniquely specified by specifying only its Fourier representation:
The smallest f_{1} = \frac{1}{T}, called the fundamental frequency of this system, and any higher are harmonics; in particular, f_{j} = \frac{j}{T} are called the jth harmonic. To represent finite-duration signal, we just create the finite-periodic extension of this signal by coping it over and over. Key thing to remember: remember that odd/even extensions have period 2T!!!