Difference between revisions of "Aufgaben:Exercise 4.2: Low-Pass for Signal Reconstruction"
Line 69: | Line 69: | ||
'''(1)''' Only the <u>first statement</u> is correct: | '''(1)''' Only the <u>first statement</u> is correct: | ||
*Sampling qdis(t) with sampling frequency fA=8 kHz leads to an irreversible error, since Qdis(f) involves a discrete spectral component (diracline) at f4=4 kHz and the phase value φ_4 ≠ 0 is. | *Sampling q_{\rm dis}(t) with sampling frequency f_{\rm A} = 8 \ \rm kHz leads to an irreversible error, since Q_{\rm dis}(f) involves a discrete spectral component (diracline) at f_4 = 4\ \rm kHz and the phase value φ_4 ≠ 0 is. | ||
− | *With the phase value given here φ_4 = 90^\circ (4 \ \rm kHz- sinusoidal component) holds $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π | + | *With the phase value given here φ_4 = 90^\circ (4 \ \rm kHz- sinusoidal component) holds $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π \cdot f_4 \cdot t)$. See also sample solution to exercise 4.2Z. |
*On the other hand, the signal q_{\rm kon}(t) with the continuous spectrum Q_{\rm kon}(f) can also then be measured with a square-wave low-pass filter (with cutoff frequency f_{\rm G} = 4\ \rm kHz) be completely reconstructed if sampling frequency f_{\rm A} = 8\ \rm kHz was used. For all frequencies not equal to f_4 the sampling theorem is satisfied. | *On the other hand, the signal q_{\rm kon}(t) with the continuous spectrum Q_{\rm kon}(f) can also then be measured with a square-wave low-pass filter (with cutoff frequency f_{\rm G} = 4\ \rm kHz) be completely reconstructed if sampling frequency f_{\rm A} = 8\ \rm kHz was used. For all frequencies not equal to f_4 the sampling theorem is satisfied. | ||
*But the contribution of the f_4 component to the total spectrum Q_{\rm kon}(f) is only vanishingly small ⇒ {\rm Pr}(f_4) → 0 as long as the spectrum at f_4 has no diracline. | *But the contribution of the f_4 component to the total spectrum Q_{\rm kon}(f) is only vanishingly small ⇒ {\rm Pr}(f_4) → 0 as long as the spectrum at f_4 has no diracline. |
Revision as of 22:52, 4 April 2022
We consider in this exercise two different source signals q_{\rm kon}(t) and q_{\rm dis}(t) whose magnitude spectra |Q_{\rm kon}(f)| and |Q_{\rm dis}(f)| are plotted. The highest frequency occurring in the signals is in each case 4 \rm kHz.
- Nothing more is known of the spectral function Q_{\rm kon}(f) than that it is a continuous spectrum, where:
- Q_{\rm kon}(|f| \le 4\,{\rm kHz}) \ne 0 \hspace{0.05cm}.
- The spectrum Q_{\rm dis}(f) contains spectral lines at ±1 \ \rm kHz, ±2 \ \rm kHz, ±3 \ \rm kHz and ±4 \ \rm kHz. Thus:
- q_{\rm dis}(t) = \sum_{i=1}^{4}C_i \cdot \cos (2 \pi \cdot f_i \cdot t - \varphi_i),
- Amplitude values: C_1 = 1.0 \ \rm V, C_2 = 1.8 \ \rm V, C_3 = 0.8 \ \rm V, C_4 = 0.4 \ \rm V.
- The phase values φ_1, φ_2 and φ_3 are respectively in the range ±18^\circ and it holds φ_4 = 90^\circ.
The signals are each sampled at frequency f_{\rm A} and immediately fed to an ideal rectangular lowpass filter with cutoff frequency f_{\rm G} This scenario applies, for example, to.
- the interference-free pulse amplitude modulation (PAM) and
- the interference-free pulse code modulation (PCM) at infinitely large quantization stage number M.
The output signal of the (rectangular) low-pass filter is called the sink signal v(t) and for the error signal
- ε(t) = v(t) - q(t).
This is different from zero only if the parameters of the sampling (sampling frequency f_{\rm A}) and/or the signal reconstruction (cutoff frequency f_{\rm G}) are not dimensioned in the best possible way.
Hints:
- The exercise belongs to the chapter Pulse Code Modulation.
- Reference is made in particular to the page Sampling and Signal Reconstruction.
Questions
Solution
- Sampling q_{\rm dis}(t) with sampling frequency f_{\rm A} = 8 \ \rm kHz leads to an irreversible error, since Q_{\rm dis}(f) involves a discrete spectral component (diracline) at f_4 = 4\ \rm kHz and the phase value φ_4 ≠ 0 is.
- With the phase value given here φ_4 = 90^\circ (4 \ \rm kHz- sinusoidal component) holds ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π \cdot f_4 \cdot t). See also sample solution to exercise 4.2Z.
- On the other hand, the signal q_{\rm kon}(t) with the continuous spectrum Q_{\rm kon}(f) can also then be measured with a square-wave low-pass filter (with cutoff frequency f_{\rm G} = 4\ \rm kHz) be completely reconstructed if sampling frequency f_{\rm A} = 8\ \rm kHz was used. For all frequencies not equal to f_4 the sampling theorem is satisfied.
- But the contribution of the f_4 component to the total spectrum Q_{\rm kon}(f) is only vanishingly small ⇒ {\rm Pr}(f_4) → 0 as long as the spectrum at f_4 has no diracline.
(2) Only the proposed solution 1 is correct:
- With f_{\rm A} = 10\ \rm kHz the sampling theorem is satisfied in both cases.
- With f_{\rm G} = f_{\rm A} /2 both error signals ε_{\rm kon}(t) and ε_{\rm dis}(t) are identically zero.
- In addition, the signal reconstruction also works as long as f_{\rm G} > 4 \ \rm kHz and f_{\rm G} < 6 \ \rm kHz holds.
(3) The correct solution here is suggested solution 2:
- With f_{\rm G} = 3.5 \ \rm kHz the lowpass incorrectly removes the 4\ \rm kHz component, that is, then holds:
- v_{\rm dis}(t) = q_{\rm dis}(t) - 0.4\,{\rm V} \cdot \sin (2 \pi \cdot f_{\rm 4} \cdot t)\hspace{0.3cm}\Rightarrow \hspace{0.3cm} \varepsilon_{\rm dis}(t) = - 0.4\,{\rm V} \cdot \sin (2 \pi \cdot f_{\rm 4} \cdot t)\hspace{0.05cm}.
(4) The correct solution here is suggested solution 3:
- Sampling with f_{\rm A} = 10\ \rm kHz yields the periodic spectrum sketched on the right.
- The low pass with f_{\rm G} = 6.5 \ \rm kHz removes all discrete frequency components with |f| ≥ 7\ \rm kHz, but not the 6\ \rm kHz component.
The error signal ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) is then a harmonic oscillation with
- the frequency f_6 = f_{\rm A} - f_4 = 6\ \rm kHz,
- the amplitude A_4 of the f_4 component,
- the phase φ_{-4} = -φ_4 of the Q(f) component at f = -f_4.