In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
The Nyquist sampling rate is defined as twice the highest frequency present in a signal to avoid aliasing during sampling. For a frequency ( f = 0 ), the Nyquist sampling rate would also be ( 0 ) since there are no oscillations to capture. Consequently, the Nyquist frequency, which is half of the sampling rate, is also ( 0 ). This means that no information can be effectively captured or reconstructed from a signal that is constant (i.e., with a frequency of zero).
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.
According to the Nyquist theorem, the minimum sampling rate must be at least twice the maximum frequency of the input signal to avoid aliasing. Therefore, if the input frequency is 3 kHz, the minimum sampling rate should be 6 kHz.
>8000hz
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.
The Nyquist sampling rate is defined as twice the highest frequency present in a signal to avoid aliasing during sampling. For a frequency ( f = 0 ), the Nyquist sampling rate would also be ( 0 ) since there are no oscillations to capture. Consequently, the Nyquist frequency, which is half of the sampling rate, is also ( 0 ). This means that no information can be effectively captured or reconstructed from a signal that is constant (i.e., with a frequency of zero).
As we know that the sampling rate is two times of the highest frequency (Nyquist theorm) Sampling rate=2 Nyquist fs=8000hz/8khz
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.
According to the Nyquist theorem, the minimum sampling rate must be at least twice the maximum frequency of the input signal to avoid aliasing. Therefore, if the input frequency is 3 kHz, the minimum sampling rate should be 6 kHz.
A: A sampling scope is not real time scope but rather a hi frequency rate of sampling which benefit the observer
>8000hz
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.
The sampling rate must be at least double the highest frequency component of the modulating signal in order to avoid frequency aliasing.
frequency is simply the rate at which something is happening, ie the frequency of Christmas is once a year, the frequency of having breakfast is once a day etc. If frequency is expressed in Hertz, it's how many times something happens during a second. Sampling is, well, sampling. Usually means testing and measuring something changeable. If you're running a bath and occasionally stick your fingers in to check the temperature, then that's sampling, Sampling frequency simply describes at which rate you're making whatever test or measurement it is you're talking about.
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
To prevent aliasing when sampling a continuous time signal, you should first apply a low-pass filter to the signal to eliminate frequency components above half the sampling rate (the Nyquist frequency). Then, ensure that the sampling rate is at least twice the highest frequency present in the signal, as dictated by the Nyquist-Shannon sampling theorem. By adhering to these principles, you can accurately reconstruct the original signal from its samples without distortion.
if the sampling rate is twice that of maximum frequency component in the message signal it is known as nyquist rate