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How is it possible to represent a complex exponential signal with a frequency of 20Hz using a sampling frequency of 30Hz?
A 20Hz signal must be sampled at a minimum of 40Hz to have a chance of sampling both peaks and to get a reasonable representation it must be sampled at a minimum of 100Hz.
For a sampling rate of 30Hz the Nyquist frequency is 15Hz and since 20Hz is above that it will generate the alias signal of 10Hz in the sampled data instead of the original signal of 20Hz. Therefore it is not possible to do what you ask.
What else can I help you with?
State sampling theorem?
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
What is the nyquist sampling rate and nyquist frequency for frequency f equals 0?
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).
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 relationship between sampling rates and frequency of the modulating signal when using pulse modulation?
The sampling rate must be at least double the highest frequency component of the modulating signal in order to avoid frequency aliasing.
What is the minimum sampling rate if the input frequency is 3 kHz?
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.
State sampling theorem?
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
What is the ideal sampling frequency?
Not less than double the highest frequency component of the signal you're sampling.
How does the sampling oscilloscope increase the appearent frequency response of an osciloscope?
A: A sampling scope is not real time scope but rather a hi frequency rate of sampling which benefit the observer
What is the relation between sampling frequency and wave frequency?
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.
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.
What is a sampling universe?
A sampling universe is what a sample is intended to represent.
What is the nyquist sampling rate and nyquist frequency for frequency f equals 0?
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).
If sampling frequency doubles then what happens to quantization?
If the sampling frequency doubles, then the quantization interval remains the same. However, with a higher sampling frequency, more quantization levels are available within each interval, resulting in a higher resolution and potentially improved signal quality.
What is the difference between sampling frequency and frequency?
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.
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
What is sampling frequency?
Sampling is the process of splitting analog signals intodigital signals.In Frequency Sampling the frequencies in a particular values split-ted according to the time, it will be split-ted intodigital values like binary values.
If sampling frequency doubles then quantization noise?
reduces
