What is the Nyquist sampling 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 Nyquist sampling 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.

How is the sampling rate conversion?

Sample rate conversion is the process of changing a stream of discrete samples from one sample rate to another stream at a different sample rate. A sample rate converter, or resampler, is a module that implements sample rate conversion.

How do you calculate sampling rate of a signal?

Then by definition the sampling rate fs= no of samples/ sampling time, It results in fs= 11.1 kSample per seconds. So, as an interpretation, this sampling rate is sufficient to sample the frequency envelope of the signal in its pass band. The highest frequency content in the envelope is assumed to be fs/2= 5.55 kHz.

What is sampling rate conversion in DSP?

Sample-rate conversion is the process of changing the sampling rate of a discrete signal to obtain a new discrete representation of the underlying continuous signal.

What is sampling theorem for bandpass signal?

The sampling theorem shows that a band-limited continuous signal can be perfectly reconstructed from a sequence of samples if the highest frequency of the signal does not exceed half the rate of sampling.

What is the Nyquist sampling rate for a bandpass signal with bandwidth of 200 kHz?

400,000 samples per second
Solution The bandwidth of a low-pass signal is between 0 and f, where f is the maximum frequency in the signal. Therefore, we can sample this signal at 2 times the highest frequency (200 kHz). The sampling rate is therefore 400,000 samples per second.

What is Bandpass 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.

What is the process of converting a signal from a given rate to a different rate?

What is the process of converting a signal from a given rate to a different rate? Explanation: The process of converting a signal from a given rate to a different rate is known as sampling rate conversion. 3. The systems that employ multiple sampling rates are called multi-rate DSP systems.

What is sampling rate of a signal?

Sampling rate or sampling frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal.

Is sampling rate the same as sampling frequency?

Sampling rate (sometimes called sampling frequency or Fs) is the number of data points acquired per second. A sampling rate of 2000 samples/second means that 2000 discrete data points are acquired every second.

What is sampling theorem in signals and systems?

The sampling theorem specifies the minimum-sampling rate at which a continuous-time signal needs to be uniformly sampled so that the original signal can be completely recovered or reconstructed by these samples alone. This is usually referred to as Shannon’s sampling theorem in the literature.

What is Nyquist rate in digital communication?

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 ).