Kurt's Assignment

Common Synthesizer Waveforms

Many synthesizers employ a variety of waveforms to produce varied sounds. The most common waveform is the sine wave. However, in additive synthesis, multiple waveforms can be added together to create a different waveform with different characteristics. The basis for this form of synthesis is the Fourier series:

$\begin{array}{rl}x(t)& =x(t+T)=a_0+\sum _{n=1}^{\mathrm{\infty }}{a}_n\cos (n{\omega }_{0}t)+b_n\sin (n{\omega }_{0}t)\\ a_0& =\frac{1}{T}\underset{0}{\overset{T}{\int }}f(t)dt\\ a_n& =\frac{2}{T}\underset{0}{\overset{T}{\int }}f(t)\cos (n{\omega }_{0}t)dt\\ b_n& =\frac{2}{T}\underset{0}{\overset{T}{\int }}f(t)\sin (n{\omega }_{0}t)dt\\ \end{array}$

The four basic waveforms are Sine Waves, Square Waves, Triangle Waves, and Sawtooth Waves.

Square Wave

By inspection of the waveform, the DC component of the wave will be 0. Also, since the waveform is odd, a_n will be 0. Here is the proof:

$\begin{array}{rl}{a}_0& =\frac{1}{T}\underset{0}{\overset{\frac{1}{2}T}{\int }}Hdt+\frac{1}{T}\underset{\frac{1}{2}T}{\overset{T}{\int }}-Hdt\\ & =\frac{1}{T}\left[Ht\right]{|}_{t=0}^{\frac{1}{2}T}-\frac{1}{T}\left[Ht\right]{|}_{t=\frac{1}{2}T}^T\\ & =\frac{1}{T}H\frac{1}{2}T-0-[\frac{1}{T}HT-\frac{1}{T}H\frac{1}{2}T]\\ & =\frac{H}{2}-[H-\frac{1}{2}H]\\ & =\frac{H}{2}-\frac{H}{2}\\ & =0\end{array}$

$\begin{array}{rl}{a}_n& =\frac{2}{T}\underset{0}{\overset{\frac{1}{2}T}{\int }}H\cos (n{\omega }_{0}t)dt+\frac{2}{T}\underset{\frac{1}{2}T}{\overset{T}{\int }}-H\cos (n{\omega }_{0}t)dt\\ & =\frac{2}{T}{[\frac{H}{n{\omega }_0}\sin (n{\omega }_{0}t)]}_0^{\frac{1}{2}T}+\frac{2}{T}{[\frac{-H}{n{\omega }_0}\sin (n{\omega }_{0}t)]}_{\frac{1}{2}T}^T\\ & =\frac{2}{T}[\frac{H}{n\frac{2\pi }{T}}\sin (n\frac{2\pi }{T}\frac{1}{2}T)-0]+\frac{2}{T}[-0+\frac{H}{n\frac{2\pi }{T}}\sin (n\frac{2pi}{T}\frac{1}{2}T)]\\ & =\frac{2}{T}\left[\frac{TH}{2\pi n}\underset{\text{0}}{\underbrace{\sin (n\pi )}}\right]+\frac{2}{T}\left[\frac{TH}{2\pi n}\underset{\text{0}}{\underbrace{\sin (n\pi )}}\right]\\ & =0\end{array}$

This just leaves the sin component of the waveform found below.

$\begin{array}{rl}{b}_n& =\frac{2}{T}\underset{0}{\overset{\frac{1}{2}T}{\int }}H\sin (n{\omega }_{0}t)dt+\frac{2}{T}\underset{\frac{1}{2}T}{\overset{T}{\int }}-H\sin (n{\omega }_{0}t)dt\\ & =\frac{2}{T}{[\frac{-H}{n{\omega }_0}\cos (n{\omega }_{0}t)]}_0^{\frac{1}{2}T}+\frac{2}{T}{[\frac{H}{n{\omega }_0}\cos (n{\omega }_{0}t)]}_{\frac{1}{2}T}^T\\ & =\frac{2}{T}[-\frac{H}{n\frac{2\pi }{T}}\cos (n\frac{2\pi }{T}\frac{1}{2}T)+\frac{H}{n\frac{2\pi }{T}}]+\frac{2}{T}[\frac{H}{n\frac{2\pi }{T}}\cos (n\frac{2\pi }{T}T)-\frac{H}{n\frac{2\pi }{T}}\cos (n\frac{2\pi }{T}\frac{1}{2}T)]\\ & =\frac{2}{T}[-\frac{TH}{2\pi n}\cos (n\pi )+\frac{TH}{2\pi n}]+\frac{2}{T}[\frac{TH}{2\pi n}\underset{\text{1}}{\underbrace{\cos (2\pi n)}}-\frac{TH}{2\pi n}\cos (n\pi )]\\ & =-\frac{H}{\pi n}\cos (n\pi )+\frac{H}{\pi n}+\frac{H}{\pi n}-\frac{H}{\pi n}\cos (n\pi )\\ & =\frac{2H}{\pi n}-\frac{2H}{\pi n}\cos (n\pi )\\ \end{array}$

Finally, resulting in the Fourier series for a Square Wave.

$\text{Square Wave Fourier Series: }x(t)=x(t+T)=\sum _{n=1}^{\mathrm{\infty }}(\frac{2H}{\pi n}-\frac{2H}{\pi n}\cos (n\pi ))\sin (n{\omega }_{0}t)$