---
title: "Flat top vs natural sampling; Nyquist rate of sin(800πt)/πt + 10cos2000t"
subject: "Communication Systems"
chapter: 4
key: "semester_6/communication_systems:flat-top-vs-natural-nyquist-rate"
source: https://www.bctengineer.com/q/semester_6/communication_systems/flat-top-vs-natural-nyquist-rate
site: BCT Engineering
---

# Flat top vs natural sampling; Nyquist rate of sin(800πt)/πt + 10cos2000t

Communication Systems · Chapter 4: Pulse Modulation

- Asked in: 2079 Bhadra (CS II), 5+5 marks
- Video: [Sampling Types in digital communication - Ideal, Natural, Flat top Sampling - Aperture effect](https://www.youtube.com/watch?v=sFiCgEVpTWs) — Electronics Subjectified
- Answer checked by Claude Opus 5.5 (high effort) on 2026-10-14
- Page: https://www.bctengineer.com/q/semester_6/communication_systems/flat-top-vs-natural-nyquist-rate
- Whole chapter: https://www.bctengineer.com/md/semester_6/communication_systems/chapter-4

## Question

Briefly explain flat top sampling and compare its advantage over natural sampling. Find the Nyquist rate and the Nyquist interval for the signal x(t) = sin(800πt)/πt + 10 cos 2000t.

## Short answer

Flat top sampling holds each sample constant, easy for digitization but introduces aperture effect equalized by 1/H(f). Nyquist rate is 800 Hz, Nyquist interval is 1.25 ms for the given signal.

## Answer

#### Flat-top sampling
In flat-top sampling, each sample value $g(nT_s)$ is held constant for a pulse width $\tau$ (sample-and-hold). The PAM wave is
$$
s(t) = \sum_n g(nT_s)\,h(t - nT_s), \qquad S(f) = f_s H(f)\sum_n G(f - nf_s)
$$
where $h(t)$ is a rectangular pulse of width $\tau$ and $H(f) = \tau\,\text{sinc}(f\tau)\,e^{-j\pi f\tau}$. The spectrum copies are shaped by $H(f)$, so high message frequencies are slightly attenuated (**aperture effect**), corrected by an equalizer $1/H(f)$ at the receiver.

**Advantages of flat-top over natural sampling**

| Point | Natural sampling | Flat-top sampling |
|---|---|---|
| Pulse top | Follows the signal | Constant (flat) |
| Circuit | Analog switch/multiplier | Simple sample-and-hold |
| Quantization/ADC | Hard (value changes during pulse) | Easy (value constant) |
| Noise | Top varies, harder to detect amplitude | Fixed amplitude, easier detection and less noise interference |
| Distortion | No aperture distortion | Small aperture effect, easily equalized |

So flat-top sampling is preferred in practical PCM/PAM systems because the held value can be digitized and transmitted easily.

#### Nyquist rate and interval
$$
x(t) = \frac{\sin(800\pi t)}{\pi t} + 10\cos(2000t)
$$
- First term: $\sin(2\pi Wt)/(\pi t)$ is an ideal low-pass (sinc) signal with flat spectrum up to $W$. Here $2\pi W = 800\pi$, so $W_1 = 400$ Hz.
- Second term: $\omega = 2000$ rad/s, so $f_2 = 2000/(2\pi) = 318.31$ Hz (the argument has no $\pi$).
- Highest frequency: $f_{max} = 400$ Hz.

$$
\begin{aligned}
f_{Nyquist} &= 2f_{max} = 2 \times 400 = 800\ \text{Hz} \\
T_{Nyquist} &= \frac{1}{800} = 1.25\ \text{ms}
\end{aligned}
$$

**Answer: Nyquist rate = 800 Hz (samples/s); Nyquist interval = 1.25 ms.**

## Check yourself

The answer's key points as multiple-choice questions, with the correct option and why.

1. Why is flat-top sampling preferred over natural sampling in practice?
   A. It has no aperture distortion
   B. The held constant value is easy to quantize and detect
   C. It needs a higher sampling rate
   D. Its spectrum copies keep the exact shape of G(f)
   Answer: B. Sample-and-hold gives a constant amplitude during the pulse, which makes quantizing easy. The price is a small aperture effect. (Key point: Flat-top advantage)

2. The aperture effect of flat-top sampling is corrected at the receiver by:
   A. A high-pass filter
   B. An equalizer with response 1/H(f)
   C. A wider sampling pulse
   D. A compressor
   Answer: B. H(f) = tau sinc(f tau) attenuates high frequencies, so 1/H(f) restores them. (Key point: Aperture effect fix)

3. sin(800 pi t)/(pi t) has bandwidth W equal to:
   A. 800 Hz
   B. 400 Hz
   C. 1600 Hz
   D. 200 Hz
   Answer: B. sin(2 pi W t)/(pi t) with 2 pi W = 800 pi gives W = 400 Hz. (Key point: Frequency of first term)

4. For x(t) = sin(800 pi t)/(pi t) + 10 cos(2000t), the Nyquist rate and interval are:
   A. 800 Hz and 1.25 ms
   B. 637 Hz and 1.57 ms
   C. 2000 Hz and 0.5 ms
   D. 400 Hz and 2.5 ms
   Answer: A. The cosine is only 2000/(2 pi) = 318 Hz, so fmax = 400 Hz, giving 2 x 400 = 800 Hz and T = 1.25 ms. (Key point: Nyquist rate)

## Related in Communication Systems

- [Natural and flat top sampling; Nyquist rate of sin²(400πt)](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Anatural-flat-top-sin2-400pit) — Communication Systems, chapter 4
- [Ideal sampling and reconstruction; Nyquist rate of ½π cos(400πt)cos(1000πt)](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Aideal-sampling-reconstruction-nyquist) — Communication Systems, chapter 4
- [Nyquist sampling theorem; flat top sampling](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Anyquist-sampling-flat-top) — Communication Systems, chapter 4
- [Nyquist rate and interval for 6cos50πt + 20sin300πt − 10cos100πt](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Anyquist-rate-6cos50-512) — Communication Systems, chapter 4, asked 2×
- [Merits and demerits of flat-top sampling](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Aflat-top-sampling-merits) — Communication Systems, chapter 4
- [Nyquist sampling theorem; natural sampling](https://www.bctengineer.com/question.md?key=semester_6%2Fcommunication_systems%3Anyquist-natural-sampling) — Communication Systems, chapter 4

## Related in other subjects

- [Sampling theorem; Nyquist of 1 + cos + sin](https://www.bctengineer.com/question.md?key=semester_4%2Fsignals_and_systems%3Asampling-theorem-nyquist-1-cos-sin) — Signals and Systems, chapter 4, asked 5×
- [Aliasing; Nyquist rate of 1 + cos + sin](https://www.bctengineer.com/question.md?key=semester_4%2Fsignals_and_systems%3Aaliasing-nyquist-1-cos-sin) — Signals and Systems, chapter 4, asked 4×
