# Undersampling and Aliasing

August 8, 2019

Back to: Sampling & Reconstruction

As discussed in the previous lesson, sampling at less than the Nyquist rate is called undersampling. When multiple copies of the signal in the DTFT frequency domain overlap, it may cause what is known as aliasing. When aliasing occurs, a high-frequency component will take on the alias of a different low-frequency component.

### Example 7

#### Frequency Content of an Undersampled Waveform

Given the time waveform illustrated in Figure 2.1:

(1)

The Fourier transform π·Μ(π) is the triangle function illustrated in Figure 2.6, where the highest frequency component is πΏh = 1/2π Hz.

The waveform x(t) sampled at π₯s β 1 Γ πΏhΒ = 1/2π (giving a sample period of π = 1/π₯s = 2π ) is illustrated in Figure 2.9. This is an example of undersampling.

All the samples are zero, except for the center sample at t=0. This will result in a DTFT this is constant across frequency π.

Using this sample rate and applying Theorem 1 will result in a DTFT πΈΜ(π) of y(n) that will overlap, or alias, in the DTFT’s frequency domain. It is expressed as:

(2)

(3)

### In conclusion:

- π·Μ(π) repeats every 2π (this is true of all DTFTs)
- π·Μ(π) reaches 0 at the place where (1/2π) π = 1β¦that is, at π = 2π
- The height of each triangle is or about 0.399
- The spectral content will simply be a constant, shown as the solid red line in Figure 2.10 below