Exercise 2.5Z: Square Wave
The signal $x(t)$ periodic with time $T_0$ is described by the single parameter $\Delta t$; let the amplitude of the square-wave pulses be $1$ in each case. Since $x(t)$ is even, all sine coefficients $B_n = 0$.
The DC signal coefficient is $A_0 = \Delta t/T_0$ and the following applies to the cosine coefficients:
- $$A_n=\frac{2}{n\pi}\cdot \sin(n\pi \Delta t/T_0).$$
In subtasks (1) and (2) the signal $x(t)$ is analyzed for the two parameter values $\Delta t/T_0 = 0.5$ and $\Delta t/T_0 = 0.25$ respectively.
Then we consider the two signals $y(t)$ and $z(t)$, each with $\Delta t/T_0 = 0.25$. There is a fixed relationship between these signals and $x(t)$ which can be exploited for the calculation.
Hints:
- This exercise belongs to the chapter Fourier Series.
- You can find a compact summary of the topic in the two learning videos
- Zur Berechnung der Fourierkoeffizienten ⇒ "To calculate the Fourier coefficients",
- Eigenschaften der Fourierreihendarstellung ⇒ "Properties of the Fourier series representation".
Questions
Solution
- The spectral function contains a Dirac delta line at $f = 0$ with weight $0.5$ (DC component) as well as further spectral lines at odd multiples ($n = \pm1, \pm3, \pm5,\text{...}$ of $f_0$.
- The weights at $\pm f_0$ are $A_1/2 = 1/\pi = 0.318$ in each case.
(2) Statements 1, 2 and 4 are correct:
- Spectral lines exist at all odd multiples of the basic frequency, and additionally at the $2–{\rm fold}$, $6–{\rm fold}$ and $10–{\rm fold}$.
- For example $A_1 = 1/\pi = 0.450$. The Dirac delta line at $2f_0$ thus has the weight $A_2/2 = 1/(2\pi) = 0.159$.
- For $n = 4$, $n = 8$, etc., on the other hand, the coefficients $A_n = 0$, since the following holds for the sine function: $\sin(\pi) = \sin(2\pi) =\text{ ...} = 0$.
(3) From the graphical representation of the signal ${y(t)}$ it is clear that $A_0 = 0.75$ must apply. The same result can be obtained using the relationship:
- $$A_0^{(y)}=1-A_0^{(x)}=1-0.25\hspace{0.15cm}\underline{=0.75}.$$
(4) The following applies: ${y(t)} = 1 - x(t)$. For $n \neq 0$ the Fourier coefficients are the same as for the signal $x(t)$, but with negative signs. In particular:
- $$A_1^{(y)} = -A_1^{(x)}=-{2}/{\pi} \cdot \sin({\pi}/{4})= -{\sqrt2}/{\pi}\hspace{0.15cm}\underline{\approx -0.450},$$
- $$A_2^{(y)} = -A_2^{(x)}=-{1}/{\pi}\hspace{0.15cm}\underline{ \approx - 0.318}.$$
(5) ${z(t)} = y(t - T_0/2)$ applies. With the Fourier series representation of ${y(t)}$ it follows:
- $$z(t)=A_0+A_1^{(y)}\cos(\omega_0(t-\frac{T_0}{2}))+A_2^{(y)}\cos(2\omega_0(t-\frac{T_0}{2}))+A_3^{(y)}\cos(3\omega_0(t-\frac{T_0}{2}))+\ldots$$
- $$\Rightarrow \quad z(t)=A_0-A_1^{(y)}\cos(\omega_0 t)+A_2^{(y)}\cos(2\omega_0 t)-A_3^{(y)}\cos(3\omega_0 t)+\text{...}$$
Thus one obtains:
- $$A_1^{(z)}=-A_1^{(y)}={\sqrt2}/{\pi}\hspace{0.15cm}\underline{=+0.450}, \hspace {0.5cm} A_2^{(z)}=A_2^{(y)}=-{1}/{\pi}\hspace{0.15cm}\underline{=-0.318}.$$
The same result is obtained starting from the given coefficients with $\Delta t/T_0 = 0.75$:
- $$A_1^{(z)}={2}/{\pi} \cdot \sin({3}/{4}\cdot \pi)={\sqrt2}/{\pi}, \hspace {0.5cm}A_2^{(z)}= {1}/{\pi} \cdot \sin({3}/{2} \cdot \pi) =-{1}/{\pi}.$$