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What is frequency domain counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
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.
What is frequency counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What is the difference between time domain concept and frequency domain concept?
Time domain refers to analyzing signals in the time dimension, showing how the signal changes over time. Frequency domain, on the other hand, focuses on analyzing signals in terms of their frequency content, representing how different frequencies contribute to the overall signal. Time domain analysis is useful for understanding signal behavior over time, while frequency domain analysis helps identify specific frequency components in a signal.
Ppt on advantages of frequency domain over time domain representation?
with the help of laplace transform the calculation part can be reduced in frequency domain .In time domain differential equations are used and solution is cumbersome.
Advantage of frequency domain processing over time domain processing?
the use of frequency domain will prove better results were the latency is not a problem. also u can do batch processing in frequency domain hence the overall efficiency of hardware can be effectively used.....
What is divided in TDM multiplexing technique?
TDM means time domain multiplexing. One communication channel transmits for a short time, then another, then another. For example, in modern cell phones, up to 8 users share a frequency; each transmits for a few milliseconds at a time.TDM means time domain multiplexing. One communication channel transmits for a short time, then another, then another. For example, in modern cell phones, up to 8 users share a frequency; each transmits for a few milliseconds at a time.TDM means time domain multiplexing. One communication channel transmits for a short time, then another, then another. For example, in modern cell phones, up to 8 users share a frequency; each transmits for a few milliseconds at a time.TDM means time domain multiplexing. One communication channel transmits for a short time, then another, then another. For example, in modern cell phones, up to 8 users share a frequency; each transmits for a few milliseconds at a time.
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
Why there is a need to convert time domain signals to frequency domain signals?
to find their ESD and PSD
What is the difference between transfer function and frequency transfer function?
frequency transfer function deals with transfer in frequency domain, transfer function alone can be referring to any type of transfer in different domain e.g time domain
For what purpose you use fourier transform in real life?
we use fourier transform to convert our signal form time domain to frequency domain. This tells us how much a certain frequency is involve in our signal. It also gives us many information that we cannot get from time domain. And we can easily compare signals in frequency domain.
What is the Time domain analysis of control system?
Time domain basically means plotting a curve of amplitude over thr time axis. A given function or signal can be converted between the time and frequency domains with a pair of mathematical operators called a transform. An example is the Fourier transform, which decomposes a function into the sum of a (potentially infinite) number of sine wave frequency components. The 'spectrum' of frequency components is the frequency domain representation of the signal. The inverse Fourier transform converts the frequency domain function back to a time function.
