Signal Representation/Special Cases of Pulses

1. Signal Representation
2. Aperiodic Signals - Impulses
3. Special Cases of Pulses

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Rectangular Impulse

Rectangle Pulse and Its Spectrum

One speaks of a  'rectangle-pulse, if the following applies for the time domain:

$$x(t) = \left\{ \begin{array}{l} \hspace{0.25cm}A \\ A /2 \\ \hspace{0.25cm} 0 \\ \end{array} \right.\quad \quad \begin{array}{*{20}c} {\rm{for}} \\ {\rm{for}} \\ {\rm{for}} \\ \end{array}\begin{array}{*{20}c} {\left| \hspace{0.05cm} t\hspace{0.05cm} \right| < T/2,} \\ {\left| \hspace{0.05cm}t\hspace{0.05cm} \right| = T/2,} \\ {\left|\hspace{0.05cm} t \hspace{0.05cm} \right| > T/2.} \\ \end{array}$$

  $A$  denotes the amplitude of the pulse and  $T$  the pulse duration.

The corresponding spectral function  $X(f)$  is obtained by using the  first Fourier integral:

$$X(f) = \int_{ - T/2}^{+T/2} {A \cdot {\rm e}^{ -{\rm j}2\pi ft}\, {\rm d}t = A }\cdot \int_{ - T/2}^{+T/2} {\cos ( {2\pi}ft )\,{\rm d}t - {\rm j} \cdot A} \int_{ - T/2}^{+T/2} {\sin ( {2\pi ft} )}\,{\rm d}t .$$

• Here the integration limits  $\pm T/2$ take into account that  $x(t)$  is identical to zero outside the interval from  $-T/2$  to  $+T/2$  .
• The second integral disappears due to the odd integrand and you get

$$X(f) = \frac{A \cdot \sin \left( {\pi fT} \right)}{\pi f}.$$

$\text{Definition:}$  For abbreviation we define the following function and call it  si-function  or also as  splitting function:

$${\rm si}\hspace{-0.08cm}\left( x \right) = \sin \left( x \right)/x.$$

Zusätzlich:

$${\rm sinc}\hspace{-0.08cm}( x ) = \frac {\sin (\pi x) }{\pi x }.$$

By extending the numerator and denominator each with  $T$  one can also write for the spectral function of the rectangular pulse:

$$X( f ) = A \cdot T \cdot {\rm si}\hspace{-0.08cm}\left( {\pi fT} \right).$$

Zusätzlich:

$$X( f ) = A \cdot T \cdot {\rm sinc}\hspace{-0.08cm}\left( {fT} \right).$$

As the graphic shows,  $X(f)$  has the following properties:

• The maximum is at frequency  $f=0$  and has the value  $A \cdot T$  (area of the rectangle).
• For the frequencies  $f_n = n/T$  with  $n = ±1, ±2, ±3,\text{ ...} $  has the spectrum zeroes:

$$X( {f = f_n } ) = 0.$$

• The following constraint applies to the magnitude spectrum:

$$\left| {X( f )} \right| \le \frac{A}{\pi \cdot \left| f \right|}.$$

Gaussian Impulse

Another example of an aperiodic signal is the  Gaussian pulse  with the time

$$x(t) = A \cdot {\rm e}^{ - \pi \left( {t/\Delta t} \right)^2 } .$$

This pulse is described by two parameters, namely

• the pulse amplitude  $A$, and
• the equivalent pulse duration  $\Delta t$.

$\text{Definition:}$  The term  equivalent pulse duration  is generally used to describe the duration of a rectangular pulse with the same amplitude and area as the given pulse-shaped signal  $x(t)$:

$$\Delta t = \frac{1}{A }\cdot \hspace{-0.15cm} \int_{ - \infty }^{ + \infty } {x( t )\, {\rm d}t.}$$

The Gaussian pulse  $x(t)$  has the following properties $($see graphic in  $\text{Example 1})$:

• The time function is for all times from  $-\infty$  to  $+\infty$  existent and positive.
• This means simultaneously:  The absolute impulse duration is infinite.
• The pulse maximum  $A$  is $t = 0$.
• At  $t = \pm \Delta t/2$ , the impulse is decayed to   $\text{e}^{-\pi/4} \approx 0.456$  of the Maximum. And at  $t = \pm \Delta t$ , the signal value is less than  $3.5 \cdot 10^{-6} \cdot A$.
• The spectral function  $X(f)$  is also gaussian and has the same properties as the gaussian pulse  $x(t)$:

$$X(f) = A \cdot \Delta t \cdot {\rm e}^{ - \pi \left( {f \cdot \Delta t} \right)^2 }.$$

On the page  reciprocity theorem  the analogies of time domain and frequency domain of the Gaussian pulse are discussed in detail.

The following example illustrates the similarities and differences between the Gaussian pulse  $x(t)$  and its spectrum  $X(f)$

Gaussian Pulse and Its Spectrum (Numerical Values)

{{GraueBox|TEXT= $\text{Example 1:}$  The output power pulse  $x(t)$  of a laser for digital optical transmission can be assumed to be Gaussian in the equivalent low-pass range with good approximation.

Let the signal parameters be  $A = 1 \,\text{mW}$  and  $\Delta t =1 \,\text{ns}$.

Damit erhält man im Spektralbereich die vergleichbaren Kenngrößen:

• das Maximum  $X_0 = X(f=0) = A \cdot \Delta t = 10^{-12} \,\text{W/Hz}$,
• the equivalent bandwidth  $\Delta f = 1/\Delta t = 1 \,\text{GHz}$.

Theoretically, the absolute frequency band extends to infinity. However, at  $f = 2 \cdot \delta f = 2\,\text{GHz}$  the spectral function is already reduced by the factor  $3.5 \cdot 10^{-6}$  compared to its maximum.}

We would like to draw your attention to two interactive applets on this topic with which you can display the time and frequency domain representations of the Gaussian pulse, rectangular pulse, triangular pulse, trapezoidal pulse and cosine rolloff pulse or the comparable quantities of an LZI–system parameterized:

• Pulses and Spectra
• Frequency Response and Impulse Response

It is also possible to display the so-called "dual correspondences".

Dirac Delta Impulse

In the chapter  Periodic Signals  the  Dirac Function  was already used to describe the spectrum of a DC signal or a harmonic oscillation.

However, in communications engineering it is also common and extremely advantageous to describe and analyze short-term impulse-like processes with the help of this mathematical function in the time domain.

Dirac Pulse and Corresponding Spectrum

$\text{Definition:}$  One calls as  Diracimpuls  the time response

$$x(t) = X_0 \cdot \delta (t),$$

which can be characterised as follows (see plot):

• The Dirac-pulse is infinitely narrow   ⇒   it holds  $x(t)$ = 0  for  $t \neq 0$  and at time $t = 0$ the Dirac-pulse is infinitely high.
• I f  $x(t)$ describes a voltage curve, so the pulse weight  $X_0$  has the unit "Vs" (i.e. the unit "V/Hz" of a spectral function), since  $\delta (t)$  itself has the unit "1/s".
• The spectral function of the Dirac impulse includes all frequencies  $f$  equally:  

$$X(f) = X_0 = \rm const.$$

The properties mentioned here are shown in the german learning video  Derivation and Visualisation of the Dirac Function .

On The Significance of The Dirac Pulse

$\text{Example 2:}$  We consider a Network with low-pass–characteristic and very low cutoff frequency  $f_{\rm G} = 10\,\text{ kHz}$. The output signal  $y(t)$  does not (almost) change when one of the sketched signals  $x_1(t)$,  $x_2(t)$  or  $x_3(t)$  is applied to the input.

This result can be interpreted as follows: equivalent pulse durations are the same in each case  $(\Delta t = 1\, µ\text{s})$  and this is much smaller than  $1/f_{\rm G} = 100 \, µ\text{s}$, the actual pulse shape (rectangle or triangle) has only a minor influence on the output signal  $y(t)$.

• Both the rectangle  $x_1(t)$  and the triangle  $x_2(t)$ - can be approximated by the diraculse  $x_3(t)$ .
• The impulse weight  $X_0 = 6 - 10^{-6}\, \text{Vs}$  must be equal to the impulse areas of  $x_1(t)$  and  $x_2(t)$ . However, a sufficiently small cutoff frequency is required for this approximation. With  $f_{\rm G} = 10 \, \text{MHz}$   ⇒   $1/f_{\rm G} = 100 \, \text{ns}$  this simplification would not be permitted.
• Even if the Dirac-pulse is drawn with the same height as the other two pulses, it still has an infinite value at the time  $t = 0$ .
• The pulse area ("pulse weight") is always specified for the Dirac impulse. This differs from the other pulse amplitudes already in the unit  (for example "Vs" instead of "V").

Exercises for the Chapter

Exercise 3.3: From The Signal to the Spectrum

Exercise 3.3Z: Rectangular- and Dirac Pulse