Convolution is a mathematical function derived from two given functions by integration that expresses how the shape of one is modified by the other.
Convolution is used in GPS receivers to simultaneously identify the satellite transmitting a signal and measure the time delay from transmission by that satellite so that the distance between the satellite and the receiver can be determined. Modern GPS receivers have 12 independent convolution channels so that all 12 satellites above the horizon can be tracked.
The convolution located on the frontal lobe just anterior to the central sulcus is the precentral gyrus. This region is also known as the primary motor cortex and is responsible for controlling voluntary movements of the body.
The mitochondria has a membrane with many convolutions because it increases the surface area for ATP synthesis
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.
Nitrate is needed for protein metabolism.
No nitrates are not needed.Mainly CO2 and water is needed
for finding convolution of periodic signals we use circular convolution
yes we can perform linear convolution from circular convolution, but the thing is zero pading must be done upto N1+N2-1 inputs.
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
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):
for finding convolution of periodic signals we use circular convolution
This is how I use convolution in a sentence. :D
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
Convolution in the time domain is equivalent to multiplication in the frequency domain.
Convolution is particularly useful in signal analysis. See related link.
Convolution - 2012 was released on: USA: 24 August 2012
Convolution in the time domain is equivalent to multiplication in the frequency domain.
A convolution is a function defined on two functions f(.) and g(.). If the domains of these functions are continuous so that the convolution can be defined using an integral then the convolution is said to be continuous. If, on the other hand, the domaisn of the functions are discrete then the convolution would be defined as a sum and would be said to be discrete. For more information please see the wikipedia article about convolutions.