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Convolution in the time domain is equivalent to multiplication in the frequency domain.

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Q: What is frequency domain counterpart of convolution?
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What is frequency counterpart of convolution?

Convolution in the time domain is equivalent to multiplication in the frequency domain.


State and prove convolution theorem for fourier transform?

Convolution TheoremsThe convolution theorem states that convolution in time domain corresponds to multiplication in frequency domain and vice versa:Proof of (a):Proof of (b):


What is the need for convolution in digital signal processing?

If we need to add two signals in time domain, we perform convolution. A better way, is to convert the two signals from time domain to frequency domain. This can be achieved by FAST FOURIER TRANFORM. Once both the signals have been converted to frequency domain, they can simply be multiplied. Since Convolution in time domain is similar to multiplying in Frequency domain. Once both the signals have been multiplied, they can be converted back to time domain by Inverse Fourier Transform method. Thus achieving accurate results.


How can you prove that convolution in time domain is equal to multiplication in frequency domain Mathematically with the help of Laplace transform?

Check this : https://ccrma.stanford.edu/~jos/sasp/img2442.png


What are the Differences between Convolution and correlation?

A convolution is an integral that expresses the amount of overlap of one function as it is shifted over another function.You can use correlation to compare the similarity of two sets of data. Correlation computes a measure of similarity of two input signals as they are shifted by one another. The correlation result reaches a maximum at the time when the two signals match bestThe difference between convolution and correlation is that convolution is a filtering operation and correlation is a measure of relatedness of two signalsYou can use convolution to compute the response of a linear system to an input signal. Convolution is also the time-domain equivalent of filtering in the frequency domain.


What is convolution of a signal?

the convolution of a signal is to filter the components of the signal. The convolution does not mean the masking. Masking means it is going to remove all the masked components(both high and low frequency components).But convolution is going to remove any one (either low r high frequency) depending upon the filter response.


Definition of Time domain and frequency domain in data communication?

time domain is respected to the time and frequency domain is respected to the frequency


What is the solution to the Heat equation using fourier transform?

The solution to the Heat equation using Fourier transform is given by the convolution of the initial condition with the fundamental solution of the heat equation, which is the Gaussian function. The Fourier transform helps in solving the heat equation by transforming the problem from the spatial domain to the frequency domain, simplifying the calculations.


Why a sine wave is a simple vertical line in a frequency domain?

A sine wave is a simple vertical line in the frequency domain because the horizontal axis of the frequency domain is frequency, and there is only one frequency, i.e. no harmonics, in a pure sine wave.


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.


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.....


Why is the need for circular convolution?

for finding convolution of periodic signals we use circular convolution