What is the Nyquist rate for a bandpass signal?
Our bandpass signal’s highest frequency component is 22.5 MHz. Conforming to the Nyquist criterion (sampling at twice the highest frequency content of the signal) implies that the sampling frequency must be a minimum of 45 MHz.
What is the use of bandpass signal sampling?
In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its Nyquist rate (twice the upper cutoff frequency), but is still able to reconstruct the signal.
How to calculate minimum sample rate of bandpass signal?
If we normalize the minimum sample rate from Eq. (2-10) by dividing it by the bandwidth B, we get a curve whose axes are normalized to the bandwidth shown as the solid curve in Figure 2-10. This figure shows us the minimum normalized sample rate as a function of the normalized highest frequency component in the bandpass signal.
How is sampling rate related to signal bandwidth?
For bandpass signal – The sampling rate must be greater than twice the signal bandwidth, Then, the sampling rate of the system also dependent on the symbol rate of the system. Re-use the example above, the samplig rate for the passband signal must be at least 2*500MHz=1GHz.
What does the sampling theorem say about bandpass sampling?
When it comes to Baseband Sampling (Low pass Sampling) sampling theorem states that ” Fs > twice the Highest frequency Component” and for Bandpass Sampling, sampling theorem says Fs > twice the Bandwidth of the signal. why two different sampling statements for the same signal of B hertz.
What should the samplig rate be for BPSK?
Re-use the example above, the samplig rate for the passband signal must be at least 2*500MHz=1GHz. This sampling rate of 1GHz is sufficient for BPSK signal (where symbol=bit) but how about the 16-PSK case. For 16-PSK system each bit is now 0.5ns which is lower than the sampling time 1ns.