if the sampling rate is twice that of maximum frequency component in the message signal it is known as nyquist rate
If you sample at more than the Nyquist frequency (one half the signal frequency) you introduce an aliasing distortion, seen as sub harmonics.
The Nyquist frequency for a signal with a maximum bandwidth of 1 KHz is 500 Hz, however that will lead to aliasing unless perfect filters are available. The Nyquist rate for a signal with a maximum bandwidth of 1 KHz is 2 KHz, so the answer to the question is 2 KHz, or 500 microseconds.
Oversampling is part of signal processing. It is the process of using a sampling frequency that is higher than the Nyquist rate to sample a signal.
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.
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.
if the sampling rate is twice that of maximum frequency component in the message signal it is known as nyquist rate
A higher sampling frequency gives better sound reproduction. Up to the Nyquist frequency.
As we know that the sampling rate is two times of the highest frequency (Nyquist theorm) Sampling rate=2 Nyquist fs=8000hz/8khz
2kHz - That's the nyquist frequency at a sample frequency of 4kHz.
Bad frequency aliasing. See Nyquist criteria.
If you sample at more than the Nyquist frequency (one half the signal frequency) you introduce an aliasing distortion, seen as sub harmonics.
5,000,000,000,000,000
Nyquist Criteria describe a systems stability as a function of frequency response. Much like Bode plots do. Root-locus describe a systems stability as a function of system gain.
According to the Nyquist theorem, a sample rate of double the frequency is required to record it, so 40 kHz .
There is no factual relation between these, but there is a common rule known as the Nyquist-Shannon theorem, that states that to reproduce a waveform with only reasonably errors, the sampling frequency must be at least twice the wave 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.