Howtosignalprocessing
- How do you calculate minimum sampling rate?
- What is the minimum sample rate?
- How to determine the minimum sampling rate required to avoid aliasing?
- What is the minimum Nyquist sampling rate?
How do you calculate minimum sampling rate?
MINIMUM NUMBER OF SAMPLES
f. The sampling theorem states that a real signal, f(t), which is band-limited to f Hz can be reconstructed without error from samples taken uniformly at a rate R > 2f samples per second. This minimum sampling frequency, fs = 2f Hz, is called the Nyquist rate or the Nyquist frequency (6).
What is the minimum sample rate?
The minimum sampling rate is often called the Nyquist rate. For example, the minimum sampling rate for a telephone speech signal (assumed low-pass filtered at 4 kHz) should be 8 KHz (or 8000 samples per second), while the minimum sampling rate for an audio CD signal with frequencies up to 22 KHz should be 44KHz.
How to determine the minimum sampling rate required to avoid aliasing?
a. According to the Nyquist sampling theorem, the minimum sampling frequency fs to avoid aliasing is 2 times the signal bandwidth ⇒ fs = 6 kHz.
What is the minimum Nyquist sampling rate?
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.
