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yes we can perform linear convolution from circular convolution, but the thing is zero pading must be done upto N1+N2-1 inputs.

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Q: Can you perform a linear convolution from circular convolution?
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Related questions

Diff between linear and circular convolution?

there is a big difference between circular and linear convolution , in linear convolution we convolved one signal with another signal where as in circular convolution the same convolution is done but in circular patteren ,depending upon the samples of the signal


Difference between linear and circular convolution?

circular convolution is used for periodic and finite signals while linear convolution is used for aperiodic and infinite signals. In linear convolution we convolved one signal with another signal where as in circular convolution the same convolution is done but in circular pattern ,depending upon the samples of the signal


Why is the need for circular convolution?

for finding convolution of periodic signals we use circular convolution


Applications of Circular convolution?

for finding convolution of periodic signals we use circular convolution


Code for circular convolution matlab?

Please check the help files of the matlab circular convolution . Matlab already has a readymade function for it.


Advantages and disadvantages of linear convolution?

Advantages of linear convolution include being able to solve complex mathematical problems and it helps business owners with their books. The only disadvantage is that it can be quite complex and hard to solve some problems.


What do you mean by periodic convolution?

The circular convolution of two aperiodic functions occurs when one of them is convolved in the normal way with a periodic summation of the other function. That situation arises in the context of the Circular convolution theorem. The identical operation can also be expressed in terms of the periodic summations of both functions, if the infinite integration interval is reduced to just one period. That situation arises in the context of the Discrete-time Fourier transform (DTFT) and is also called periodic convolution. In particular, the transform (DTFT) of the product of two discrete sequences is the periodic convolution of the transforms of the individual sequences.


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RNA is typically linear, but some RNA molecules, like viroids and circular RNAs, can be circular in structure.


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.


Is prokaryotic DNA circular or linear?

Prokaryotic DNA is typically circular.


Is prokaryotic DNA linear or circular?

Prokaryotic DNA is typically circular.