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Sub-sampling; sampling sinc(5πt) at 10 Hz

Short answer

Sub-sampling theorem allows a bandpass signal of bandwidth B to be sampled at a rate as low as 2B provided the aliased band occupies baseband without overlap. x(t) = sinc(5πt) has bandwidth 2.5 Hz; sampled at 10 Hz, the spectrum consists of 5 Hz wide rectangles at multiples of 10 Hz. Recovery is possible with an ideal LPF cut-off between 2.5 and 7.5 Hz.

Explain Sub-sampling theorem. A signal x(t) = sinc(5πt) is sampled (using uniformly spaced impulses) at a rate of 10 Hz. i) Sketch the sampled signal (not to scale); ii) Sketch the spectrum of the sampled signal for the range |f| < 30 Hz; iii) Explain whether you can recover the signal x(t) from the sampled signal.

Sub-sampling theorem

A band-pass signal occupying fLf_L to fHf_H (bandwidth B=fH−fLB = f_H - f_L) can be sampled at a rate much lower than 2fH2f_H, roughly 2B2B, without loss of information. The valid rates are

2fHk≤fs≤2fLk−1,1≤k≤⌊fHB⌋\frac{2f_H}{k} \le f_s \le \frac{2f_L}{k - 1}, \qquad 1 \le k \le \left\lfloor\frac{f_H}{B}\right\rfloor

Here aliasing is used on purpose: the band is shifted down to baseband without overlap. This is used in IF-sampling receivers.

Numerical: x(t)=sinc(5πt)x(t) = \text{sinc}(5\pi t), fs=10f_s = 10 Hz

Using sinc(θ)=sin⁡θ/θ\text{sinc}(\theta) = \sin\theta/\theta:

x(t)=sin⁡5πt5πt  ⟺  X(f)=15 rect ⁣(f5)x(t) = \frac{\sin 5\pi t}{5\pi t} \;\Longleftrightarrow\; X(f) = \frac{1}{5}\,\text{rect}\!\left(\frac{f}{5}\right)

so X(f)=0.2X(f) = 0.2 for ∣f∣<2.5|f| < 2.5 Hz and zero elsewhere. Bandwidth W=2.5W = 2.5 Hz, Nyquist rate =5= 5 Hz.

i) Sampled signal (Ts=0.1T_s = 0.1 s): x(nTs)=sin⁡(nπ/2)nπ/2x(nT_s) = \dfrac{\sin(n\pi/2)}{n\pi/2}

nn0±1±2±3±4±5
x(n/10)x(n/10)10.6370−0.21200.127
                            1
                            ^
                     0.637  |  0.637
                       ^    |    ^
 0.127                 |    |    |                 0.127
   ^                   |    |    |                   ^
---+----+----+----+----+----+----+----+----+----+----+-------> t (s)
             |                             |
             v                             v
          -0.212                        -0.212
 -0.5      -0.3      -0.1   0   0.1       0.3       0.5

Impulses occur every 0.1 s, with heights following the sinc envelope; the samples at t=±0.2,±0.4t = \pm 0.2, \pm 0.4 s are zero.

ii) Spectrum of the sampled signal

Xs(f)=fs∑nX(f−nfs)=2∑nrect ⁣(f−10n5)X_s(f) = f_s\sum_n X(f - nf_s) = 2\sum_n \text{rect}\!\left(\frac{f - 10n}{5}\right)

Rectangles of height 10×0.2=210 \times 0.2 = 2 and width 5 Hz, centred at 0,±10,±20,±300, \pm 10, \pm 20, \pm 30 Hz:

  2 __     ___     ___     ___     ___     ___     __
    | |   |   |   |   |   |   |   |   |   |   |   | |
----+-+---+---+---+---+---+---+---+---+---+---+---+-+--> f (Hz)
   -30     -20     -10      0      10      20      30

Occupied bands for ∣f∣<30|f| < 30 Hz: ∣f∣<2.5|f| < 2.5, 7.57.5–12.512.5, 17.517.5–22.522.5 and 27.527.5–3030 Hz (and their mirror images at negative frequencies).

iii) Recovery Yes. fs=10f_s = 10 Hz is greater than the Nyquist rate 2W=52W = 5 Hz, so the copies are separated by 5 Hz gaps (2.5 to 7.5 Hz). An ideal LPF with gain 1/101/10 and cut-off anywhere between 2.5 and 7.5 Hz (e.g. 5 Hz) recovers x(t)x(t) exactly.

✓ Answer checked by Claude Opus 5.5 (high effort)

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