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Q: What is nyquist sampling?
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What uis the sampling rate for PCM if the Frequency ranges from 1000 to 4000 Hz?

As we know that the sampling rate is two times of the highest frequency (Nyquist theorm) Sampling rate=2 Nyquist fs=8000hz/8khz


Definetion of nyquist rate in digital communication?

if the sampling rate is twice that of maximum frequency component in the message signal it is known as nyquist rate


Is Nyquist theorem true for optical fiber?

I cannot see where the Nyquist theorem relates to cables, fiber or not.The theorem I know, the Nyquist-Shannon sampling theorem, talks about the limitations in sampling a continuous (analog) signal at discrete intervals to turn it into digital form.An optical fiber or other cable merely transport bits, there is no analog/digital conversion and no sampling taking place.


How would you define nyquist rate?

The Nyquist frequency should not be confused with the Nyquist rate, which is the minimum sampling rate that satisfies the Nyquist sampling criterionfor a given signal or family of signals. The Nyquist rate is twice the maximum component frequency of the function being sampled. For example, the Nyquist rate for the sinusoid at 0.6 fs is 1.2 fs, which means that at the fs rate, it is being undersampled. Thus, Nyquist rate is a property of a continuous-time signal, whereas Nyquist frequency is a property of a discrete-time system.When the function domain is time, sample rates are usually expressed in samples/second, and the unit of Nyquist frequency is cycles/second (hertz). When the function domain is distance, as in an image sampling system, the sample rate might be dots per inch and the corresponding Nyquist frequency would be in cycles/inch.


What is the effect of under sampling in signals and system?

Bad frequency aliasing. See Nyquist criteria.


What Steps to take when selecting a suitable sampling frequency?

The Nyquist Theorem says that the sampling frequency should be twice the bandwidth to avoid aliasing. Thus if the bandwidth of the system is bw then the sampling frequency f=2*bw.


If sampling frequency doubles then?

not sure what your asking, but if you are asking what i think your asking, you have to sample at least at twice bandwidth of the frequency you are sampling. This is known as Nyquist Rate http://en.wikipedia.org/wiki/Nyquist_rate


What is the relation between sampling frequency and wave frequency?

The Nyquist-Shannon sampling theorem states that in order to accurately capture a waveform, the sampling frequency must be at least twice the frequency of the waveform. If the sampling frequency is too low compared to the waveform frequency, aliasing can occur, resulting in distorted representations of the waveform.


Is the Nyquist theorem true for optical fiber or only for copper wire?

The Nyquist theorem is a property of mathematics and has nothing to do with technology. It says that if you have a function whose Fourier spectrum does not contain any sines or cosines above f, then by sampling the function at a frequency of 2fyou capture all the information there is. Thus, the Nyquist theorem is true for all media.


What is sampling thearm cocerning the rate of sampling required for analog signal?

It states that for satisfactory representation of the sampled signal the sampling frequency must be atleast equal to twice the highest input freq, which is called nyquist sampling. If its less than twice, undersamplin occurs resulting in distortion.


If the frequency spectrum of a signal has a bandwidth of 500 Hz with the highest frequency at 600 Hz what should be the sampling rate?

The Nyquist Therorem states that the lowest sampling rate has to be equil to or greather than 2 times the highest frequency. Therefore the sampling rate should be 400Hz or more.


What is the sampling theorem?

Answer The most common sampling theorem is known from Harry Nyquist, 1889 -1976. It is the foundation of digital audio. In 1928, Nyquist wrote a paper called "Certain Factors in Telegraph Transmission Theory" where he proved that for complete signal reconstruction, the required frequency bandwidth is proportional to the signaling speed, and that the minimum bandwidth is equal to half the number of code elements per second.