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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.
What else can I help you with?
What convolution is located on the frontal lobe just anterior to the central sulcus?
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.
What organelles inside the cell have membranes with many convolution and why?
The mitochondria has a membrane with many convolutions because it increases the surface area for ATP synthesis
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.
What mineral is needed for protein metabolism?
Nitrate is needed for protein metabolism.
Are nitrates needed to produce glucose?
No nitrates are not needed.Mainly CO2 and water is needed
Why is the need for circular convolution?
for finding convolution of periodic signals we use circular convolution
Can you perform a linear convolution from 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.
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
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):
Applications of Circular convolution?
for finding convolution of periodic signals we use circular convolution
How do you put the word convolution in a sentence?
This is how I use convolution in a sentence. :D
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
What is frequency counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
Why you do convolution instead of multiplication?
Convolution is particularly useful in signal analysis. See related link.
What is frequency domain counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What are the release dates for Convolution - 2012?
Convolution - 2012 was released on: USA: 24 August 2012
Matlab code for finding linear convolution using circular convolution?
To find linear convolution using circular convolution in MATLAB, you can use the cconv function, which computes the circular convolution of two sequences. To obtain the linear convolution, you need to pad one of the sequences with zeros to the length of the sum of the lengths of both sequences minus one. Here's a simple example: x = [1, 2, 3]; % First input sequence h = [4, 5]; % Second input sequence N = length(x) + length(h) - 1; % Length for linear convolution y = cconv(x, [h, zeros(1, N-length(h))], N); % Circular convolution This will give you the linear convolution result of x and h.
