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Exercise 4.2Z: About the Sampling Theorem

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Harmonic oscillations of different phase

The  sampling theorem  states that the sampling frequency  fA=1/TA  must be at least twice as large as the largest frequency  fN, max  contained in the source signal  q(t):

fA2fN,maxTA12fN,max.

If this condition is met,  then at the receiver the message signal can be passed through a rectangular  (ideal)  low-pass filter with frequency response

H(f)={11/20f¨urf¨urf¨ur|f|<fG,|f|=fG,|f|>fG

can be completely reconstructed, that is, it is then  v(t)=q(t).

  • The cutoff frequency  fG  is to be chosen equal to half the sampling frequency.
  • The equal sign is generally valid only if the spectrum  Q(f)  does not contain a discrete spectral line at frequency  fN, max.


In this exercise,  three different source signals are considered,  each of which can be expressed as a harmonic oscillation

q(t)=Acos(2πfNtφ)

with amplitude  A=1 V  and frequency  fN=5 kHz.  For the spectral function  Q(f)  of all represented time signals generally holds:

Q(f)=A2δ(ffN)ejφ+A2δ(f+fN)e+jφ.

The oscillations sketched in the graph differ only by the phase  φ:

  • φ_1 = 0   ⇒   cosine signal  q_1(t),
  • φ_2 = π/2 \ (= 90^\circ)   ⇒   sinusoidal signal  q_2(t),
  • φ_3 = π/4 \ (= 45^\circ)   ⇒   signal  q_3(t).




Hints:

  • The exercise belongs to the chapter  "Pulse Code Modulation".
  • Reference is made in particular to the page  "Sampling and Signal Reconstruction".
  • The sampled source signal is denoted by  q_{\rm A}(t)  and its spectral function by  Q_{\rm A}(f)
  • Sampling is always performed at  ν \cdot T_{\rm A}.


Questions

1

Which statements are valid with  f_{\rm A} = 11\ \rm kHz?

The sampling theorem is always satisfied.
All signals can be reconstructed by a low-pass filter.
It is always true:  Q_{\rm A}(f = 5 \ {\rm kHz}) = Q(f = 5 \ \rm kHz).

2

What sampling distance results with  f_{\rm A} = 10\ \rm kHz?

T_{\rm A} \ = \

\ \rm ms

3

Which statements are valid for the signal  q_1(t)  and  f_{\rm A} = 10\ \rm kHz?

It holds  Q_{\rm A}(f = 5 \ {\rm kHz)} = Q_1(f = 5 \ \rm kHz).
A complete signal reconstruction is possible   ⇒   v_1(t) = q_1(t).
The reconstructed signal is  v_1(t) \equiv 0.

4

What statements hold for the signal  q_2(t)  and  f_{\rm A} = 10\ \rm kHz?

It holds  Q_{\rm A}(f = 5 \ {\rm kHz)} = Q_2(f = 5 \ \rm kHz).
A complete signal reconstruction is possible   ⇒   v_2(t) = q_2(t).
The reconstructed signal is  v_2(t) \equiv 0.

5

What statements hold for the signal  q_3(t) and f_{\rm A} = 10\ \rm kHz?

It holds  Q_{\rm A}(f = 5 \ {\rm kHz)} = Q_3(f = 5 \ \rm kHz).
A complete signal reconstruction is possible   ⇒   v_3(t) = q_3(t).
The reconstructed signal is  v_3(t) \equiv 0.


Solution

(1)  All statements  are true:

Spectral function of the sampled signal
  • The sampling theorem is satisfied by  f_{\rm A} = 11 \ \rm kHz > 2 \cdot 5 \ \rm kHz  so that a complete signal reconstruction is always possible.
  • The spectrum  Q_{\rm A}(f)  results from  Q(f)  by periodic continuation at the respective frequency spacing  f_{\rm A},  which is generally illustrated in the graph.
  • By a rectangular low-pass with  f_{\rm G} = f_{\rm A}/2 = 5.5 \ \rm kHz  the original spectrum  Q(f) is obtained.


The shift by

  • f_{\rm A} = 11 \ \rm kHz  yields the lines at  +6 \ \rm kHz  and  +16 \ \rm kHz,
  • -f_{\rm A} = -11 \ \rm kHz  yields the lines at  -6 \ \rm kHz  and  -16 \ \rm kHz,
  • 2 - f_{\rm A} = 22 \ \rm kHz  yields the lines at  +17 \ \rm kHz  and  +27 \ \rm kHz,
  • -2 - f_{\rm A}= -22 \ \rm kHz  yields the lines at  -17 \ \rm kHz, -27 \ \rm kHz.


(2)  The sampling distance is equal to the reciprocal of the sampling frequency:

T_{\rm A} = {1}/{f_{\rm A} }\hspace{0.15cm}\underline { = 0.1\,{\rm ms}} \hspace{0.05cm}.


(3)  The correct solution is  suggestion 2:

Spectral function of the sampled cosine signal
  • For the cosinusoidal signal,  according to this graph with  f_{\rm A} = 10 \rm \ kHz:  All spectral lines of  Q_{\rm A}(f):  are real.
  • The periodization of  Q(f)  with  f_{\rm A} = 10 \rm \ kHz  leads to a Dirac comb with spectral lines at  ±f_{\rm N}±f_{\rm N}± f_{\rm A}±f_{\rm N}± 2f_{\rm A}, . ..
  • Through the superpositions,  all Dirac functions have weight  A,  while the spectral lines of  Q(f)  are weighted only by  A/2  each.
  • Because  H(f = f_{\rm N}) = H(f = f_{\rm G}) = 0.5  the spectrum  V_1(f)  after the low-pass is identical to  Q_1(f)   ⇒   v_1(t) = q_1(t).
  • In the time domain, the signal reconstruction can be thought of as follows:   The samples of  q_1(t)  lie exactly at the signal maxima and minima.  
  • The lowpass filter forms the cosine signal with correct amplitude, frequency and phase.


Sampled sine signal

(4)  Correct is  suggested solution 2:

  • All sampled values of  q_2(t)  now lie exactly at the zero crossings of the sinusoidal signal,  which means that here  q_{\rm A}(t) \equiv 0  holds.  However,  this naturally also gives  v_2(t) \equiv 0.
  • In the spectral domain,  the result can be derived using the graph for subtask  (1)
    ⇒  Q(f)  is purely imaginary and the imaginary parts at  ±f_{\rm N}  have different signs.  
  • Thus,  one positive and one negative part cancel each other in periodization  
    ⇒   Q_{\rm A}(f) \equiv 0   ⇒   V_2(f) \equiv 0.


Sampled harmonic oscillation with phase  φ_3 = π/4

(5)  None of the given solutions  is correct:

  • If in the graph for the subtask  (1)  the sampling frequency  f_{\rm A} = 11 \ \rm kHz  is replaced by  f_{\rm A} = 10 \ \rm kHz,  the real parts add up,  but the imaginary parts cancel out.
  • This means that now  Q_{\rm A}(f)  and  V_3(f)  are real spectra.  This further means:
  • The phase information is lost  (φ = 0)  and the output signal  v_3(t)  is a cosine signal.
  • q_3(t)  and  v_3(t)  thus differ in both amplitude and phase.  Only the frequency remains the same.


The graph shows

  • turquoise the signal q_3(t)  and its samples  (circles),  and
  • red dashed the output signal  v_3(t)  of the low-pass.


You can see that the low-pass gives exactly the result you would probably choose if you were to draw a curve through the samples  (circles).