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Why is it important to set the sampling rate higher than the maximum frequency measured?
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.
How does sampling rate affect SNR?
Noise bandwidth decrease, the output noise energy reduce and the output SNR increase with the sampling rate increasing. So, we can obtain high SNR by increasing the sampling rate.
How do you choose a sampling frequency?
The sampling frequency should be at least double the maximum frequency. If your measurement is done in the pass-band (2.38 GHz-2.46 GHz), so the maximum frequency is 2.46 GHz which means that the sampling frequency should be at least 2×2. 46 GHz = 4.92 GHz.
Why does a higher sampling rate produce more accurate sound recordings?
The higher the sample rate, the higher frequencies a system can record. And to accurately reproduce everything below 20 kHz, a digital audio system removes everything above 20 kHz – this is the job of the anti-aliasing filter.
How is the sampling rate of a sample measured?
Since the sampling rate is measured in samples per second and the sample depth is measured in bits per sample, it is therefore measured in (samples per second) x (bits per sample) = bits per second, abbreviated as bps or kbps.
Which is the reciprocal of the sampling period?
Sampling frequency is the reciprocal of the sampling period. This sampling frequency, can be simply called as Sampling rate . The sampling rate denotes the number of samples taken per second, or for a finite set of values.
What happens if you use less than the sampling rate?
Using less than that would result in speech that might not be comprehensible due to a variety of reasons, one of which is how similar utterances will not be distinguishable from one another.
Is the sampling rate twice the highest frequency?
For such a signal, for effective reproduction of the original signal, the sampling rate should be twice the highest frequency. This rate of sampling is called as Nyquist rate. A theorem called, Sampling Theorem, was stated on the theory of this Nyquist rate.