Question about Nyquist frequency and noise

In summary, the conversation discusses calculating the sampling interval and Nyquist frequency for a time series sampled at 250 Hz before and after being contaminated with noise at 300 Hz and 475 Hz. The question also asks at what frequency the noise would appear in the spectrum of the digitised sequence. The hint suggests considering how the noise spectrum folds around the Nyquist frequency when it is above it.
  • #1
bert2002
16
0

Homework Statement



A time series is sampled at 250 Hz. What is the sampling interval and Nyquist frequency of the original signal, before digitising was contaminated with noise at about 300 Hz. At what frequency would this noise appear in the spectrum of the digitised sequence ? Repeat the calculation for noise contamination at 475 Hz.

The Attempt at a Solution


[/B]
I can calculate the sampling interval and Nyquist frequency fine but I don't understand the noise part of the question at all. Any help is appreciated, thanks.
 
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  • #2
bert2002 said:
At what frequency would this noise appear in the spectrum of the digitised sequence ?
Look at the upper curve here:
alias_ex2.gif

The dots are the sampled values.

Say the curve is the 300 Hz noise. If you sketch a ( low frequency ) curve through the dots, what will the frequeny of the sketched curve be ?
 
  • #3
bert2002 said:

Homework Statement



A time series is sampled at 250 Hz. What is the sampling interval and Nyquist frequency of the original signal, before digitising was contaminated with noise at about 300 Hz. At what frequency would this noise appear in the spectrum of the digitised sequence ? Repeat the calculation for noise contamination at 475 Hz.

The Attempt at a Solution


[/B]
I can calculate the sampling interval and Nyquist frequency fine but I don't understand the noise part of the question at all. Any help is appreciated, thanks.
The noise is well above the Nyquist frequency so you will get aliasing. How does the noise spectrum fold about the Nyquist frequency when its spectrum is above the Nyquist frequency?
A little hint: cos(w1t)cos(w2t) = ?
 

Related to Question about Nyquist frequency and noise

1) What is the Nyquist frequency?

The Nyquist frequency, also known as the Nyquist rate, is the highest frequency at which a signal can be sampled without introducing errors or aliasing. It is equal to half of the sampling rate.

2) How is the Nyquist frequency related to noise?

The Nyquist frequency is important in signal processing because it determines the frequency range in which a signal can be accurately sampled. If a signal contains frequencies above the Nyquist frequency, it will be distorted and affected by noise. Therefore, it is important to properly sample signals to avoid noise and maintain signal integrity.

3) How can the Nyquist frequency be calculated?

The Nyquist frequency can be calculated using the sampling rate of a signal. It is equal to half of the sampling rate, so if the sampling rate is 1000 Hz, the Nyquist frequency would be 500 Hz.

4) What is the relationship between the Nyquist frequency and the bandwidth of a signal?

The Nyquist frequency is equal to the highest frequency component in a signal, also known as the bandwidth. This means that the Nyquist frequency is the limit at which a signal can be accurately represented and sampled.

5) Why is the Nyquist frequency important in digital signal processing?

The Nyquist frequency is important in digital signal processing because it determines the sampling rate needed to accurately represent a signal without introducing errors or noise. If the Nyquist frequency is not considered, it can result in distorted or inaccurate signals, affecting the quality and reliability of data analysis and communication.

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