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What is Spatial domain to the frequency domain transformation?
Spatial domain to frequency domain transformation refers to the process of converting an image from its spatial representation (pixels) to its frequency representation (amplitude and phase of different frequencies). This transformation is commonly done using techniques such as Fourier transform, which helps in analyzing an image in terms of its frequency content rather than spatial information.
What is the need of conversion from time to frequency domain?
Design of filtering and control systems is usually easier in the frequency domain than in the time domain.
Can you say whether a signal is periodic or nonperiodic by looking at its frequency domain plot?
Yes. The Fourier transform of a signal to the frequency domain will give rise to a graph that has energy (is greater than zero) at only the base frequency and its harmonics.
What are advantages you have of frequency domain analysis over time analysis?
Frequency Analysis is much easier. Some equations can't be solved in time domain while they can be solved easily in frequency domain. When moving to frequency domain you change the differential equation into algebric equation. Also, in frequency domain it is easy to apply filters and compute their specifications. In telecommunications, using multiple frequencies enables more than one user to use the service at the same time if having different frequency, this enables less delay for the signal. Also, it would be easier, when using frequency domain- to give each user, or each standard (GSM, Satellite ...) it's own frequency range without interfering. This can't be done in time domain
What happen when fourier series is taken over asignal?
You use the fourier series to convert a signal from the time domain into the frequency domain, and vice versa. This is done by computing the sine waves that would be required to create the original signal. When done, you get a spectrogram, showing the intensity of each frequency (frequency domain) rather than the signal level over time (time domain).
Why fourier series is used for frequency domain?
The fourier series relates the waveform of a periodic signal, in the time-domain, to its component sine/cosine frequency components in the frequency-domain. You can represent any periodic waverform as the infinite sum of sine waves. For instance, a square wave is the infinite sum of k * sin(k theta) / k, for all odd k, 1 to infinity. Using a Fourier Transformation, you take take a signal, convert it from time-domain to frequency-domain, apply some filtering or shifting, and convert it back to time-domain. Sometimes, this is easier than building an analog filter, even given that you need a digital signal processor to do it.
What is a domain name registry?
A domain name registry is the area where domain names are tracked and registered. This ensures that no domain name is used more than once. This also allows for better search results.
Why relative frequency distribution better than frequency distribution?
Not all statisticians would agree that the statement is true.
What is the problem if frequency of computer is low and random access memory is high?
It's not a problem. But it's better when FSB frequency is higher than RAM frequency.
What is the advantage of relative frequency distribution vs distribution frequency?
These help to distribute the frequency much better than the latter. The noise might not be as loud or boisterous this way.
Why would relative frequency be better than frequency while comparing two different groups?
you are aw some * * * * * Sadly you are not since you can't even spell the word. Relative frequency would be better because the two groups may be of different size.
What is frequency less than?
what is frequency less than
