Exercise 5.6: Filter Dimensioning

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Desired ACF  $\varphi_y(k \cdot T_{\rm A})$

A discrete-time random variable  $\left\langle \hspace{0.05cm}{y_\nu } \hspace{0.05cm}\right\rangle$  with the outlined ACF is to be generated using a digital filter.

Let the discrete-time Gaussian input values  $x_\nu$  be characterized in each case by

  • the mean value  $m_x = 0$,
  • the dispersion  $\sigma_x = 1$.





Notes:


Questions

1

Which of the following statements are true?

A first-order recursive filter is suitable.
A first-order non-recursive filter is suitable.
A second order non-recursive filter is suitable.
The output values  $y_\nu$  are triangularly distributed.
The output values  $y_\nu$  are mean-free  $(m_y = 0)$.

2

Give the equations for determining the coefficients  $a_0$,  $a_1$  and  $a_2$.    Replace the three variables with  $u = a_1^2$  and  $w = (a_0 + a_2)^2$.
Determine  $u$  and  $w$.  Note:  There is only one reasonable solution.

$u \ = \ $

$w \ = \ $

3

Determine the filter coefficients  $a_0$,  $a_1$  and  $a_2$.  Enter the following quotients:

$a_1/a_0 \ = \ $

$a_2/a_0 \ = \ $

4

How many different sets of parameters  $(I)$  lead to the desired ACF?

$I \ = \ $


Solution

(1)  Solutions 3 and 5 are correct:

  • A recursive filter would always cause an infinitely extended impulse response  $h(t)$  and thus also an infinitely extended ACF.
  • Therefore, a non-recursive filter structure must be chosen here.  The specified ACF requires the order  $M= 2$.
  • Since the input values are Gaussian distributed and mean-free, this also applies to the output values.
  • When filtering stochastic signals, the following always applies:  "Gauss remains Gauss and non-Gauss never becomes (exactly) Gauss".


(2)  The system of equations is:

$$k = 2\text{:}\quad a_0 \cdot a_2 = 1.$$
$$k = 1\text{:}\quad a_0 \cdot a_1 + a_1 \cdot a_2 = - 1\quad \Rightarrow \quad \sqrt {u \cdot w} = - 1\quad \Rightarrow \quad u \cdot w = 1.$$
$$k = 0\text{:}\quad a_0 ^2 + a_1 ^2 + a_2 ^2 = 2.25\quad \;\;\, \Rightarrow \quad u + w = 2.25 + 2a_0 \cdot a_2 = 4.25.$$

The system of equations with respect to  $u$  and  $w$  has two solutions:

  • $u = 4, \ w = 0.25$:   Because of the condition  $a_2 = 1/a_0$  (see first equation),  $a_0$  and  $a_2$  have the same sign.
  • Moreover, at least one of the two coefficients is greater than/equal to  $1$.
  • Thus the condition  $a_0+a_2= \sqrt{w} = 0.5$  cannot be fulfilled.
  • Therefore, the correct solution is  $\underline{u = 0.25}, \ \underline{w = 4}$.


(3)  The result of  (2)  means that  $a_1 = \pm \sqrt{0.25} = \pm 0.5$. 

  • The positive value leads to the system of equations

$$(1) \hspace{0.5cm}0.5 \cdot \left( {a_0 + a_2 } \right) = - 1\quad \Rightarrow \quad a_0 + a_2 = - 2,$$ $$(2) \hspace{0.5cm}a_0 \cdot a_2 = 1.$$

  • From this follows  $a_0=a_2=-1$.  With  $a_1= 0.5$,  the final result is:
$$a_1/a_0 \hspace{0.15 cm}\underline{= -0.5}, \hspace{0.5 cm} a_2/a_0 \hspace{0.15 cm}\underline{= 1}.$$
  • The solution  $a_1= -0.5$  leads to  $a_0=a_2=+1$  and thus to the same quotients.


(4)  In general, this problem has  $I = 4$  equivalent solutions  $($mirroring/shifting as well as the multiplication by  $-1$ in each case$)$.

  • Since here the impulse response is symmetrical, there are however only  $\underline{I = 2}$  different solutions:
$$\text{Solution 1:} \ \ a_0 = +1,\quad a_1 = - 0.5,\quad a_2 = +1; $$
$$\text{Solution 2:} \ \ a_0 = - 1,\quad a_1 = +0.5,\quad a_2 = - 1. $$