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The Nyquist Theorem states that an audio sample should be taken with sufficient deviation compensated for. For instance if a volume comes in at 30 DB then the sample should range all the way up to 60 DB.

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What does nyquist theorem have to do with communications?

The Nyquist theorem defines the maximum bit rate of a noiseless channel.


What is the nyquist theorem?

in automatic control the nyquist theorem is used to determine if a system is stable or not. there is also something called the simplified nyguist theorem that says if the curve cuts the "x-axies" to the right of point (-1,0) then the system is stable, otherwise its not.


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.


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.


Is the Nyquist theorem true for high-quality single-mode 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 2f you capture all the information there is. Thus, the Nyquist theorem is true for all media.


Is 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 2f you capture all the information there is. Thus, the Nyquist theorem is true for all media.


What is Nyquist frequency?

The Nyquist frequency is defined as half of the sampling rate of a discrete signal processing system. It represents the highest frequency that can be accurately represented when sampling a continuous signal without introducing aliasing. According to the Nyquist-Shannon sampling theorem, to avoid distortion, a signal must be sampled at least twice the highest frequency present in the signal. For example, if a signal is sampled at 1000 Hz, the Nyquist frequency would be 500 Hz.


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.


What does the Nyquist theorem have to do with communications?

Hi Please send a list of Mphil thesis Topics and full thesis report for clouding computing as well as data mining


What does the nyquist theorem have to do communication?

Hi Please send a list of Mphil thesis Topics and full thesis report for clouding computing as well as data mining


What is the minimum sample rate required to to record a frequency of 20 kHz?

According to the Nyquist theorem, a sample rate of double the frequency is required to record it, so 40 kHz .


What is a nyquist pulse?

A Nyquist pulse is a type of signal used in digital communications to minimize intersymbol interference (ISI) while ensuring that the sampling theorem is satisfied. It is designed to have a frequency response that meets the Nyquist criterion, which states that the pulse should have zero crossings at multiples of the symbol rate, except at the origin. This characteristic allows for optimal transmission of data without overlapping symbols, enabling efficient and clear signal reception. Common examples of Nyquist pulses include the raised cosine pulse and the sinc pulse.

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