Nyquist

Selecting the Nyquist rate for a combination of signals

Selecting the Nyquist rate for a combination of signals
  1. What should be Nyquist sampling rate for the signal?
  2. How do I find the Nyquist rate signal?
  3. Why Nyquist rate is 2 times?
  4. What is the Nyquist frequency of a 20 kHz signal?

What should be Nyquist sampling rate for the signal?

Nyquist's theorem states that a periodic signal must be sampled at more than twice the highest frequency component of the signal. In practice, because of the finite time available, a sample rate somewhat higher than this is necessary. A sample rate of 4 per cycle at oscilloscope bandwidth would be typical.

How do I find the Nyquist rate signal?

The Nyquist rate or frequency is the minimum rate at which a finite bandwidth signal needs to be sampled to retain all of the information. For a bandwidth of span B, the Nyquist frequency is just 2 B. If a time series is sampled at regular time intervals dt, then the Nyquist rate is just 1/(2 dt ).

Why Nyquist rate is 2 times?

If the signal contains high frequency components, we will need to sample at a higher rate to avoid losing information that is in the signal. In general, to preserve the full information in the signal, it is necessary to sample at twice the maximum frequency of the signal. This is known as the Nyquist rate.

What is the Nyquist frequency of a 20 kHz signal?

Knowing that, if we decide that the highest frequency we're interested in is 20 kHz, then according to the Nyquist theorem, we need a sampling rate of at least twice that frequency, or 40 kHz.

Object detection only when a particular type of object is on the image
What is the relation between image classification and object detection?What is the difference between object localization and detection?Are there any...
How can I find the following convolution sum?
How do you find the convolution sum?What is convolution sum in LTI system?How do you find the convolution of two sequences?What are the properties of...
High pass or low pass kernel?
Whats the difference between high pass and low pass?What is low-pass filter kernel?When should I use high pass?What is high pass in image processing?...