Hi every one I write my own code to calculate the correlation function for two vectors (A and B) which have 3 columns (A1(t),A2(t),A3(t) and B1(t),B2(t),B3(t)).But it takes long time to run. So I want to use Matlab inbuilt functions...
Let (X_1, X_2) be a random vector such that the mean of X_2 is finite. Show that E(E(X_2|X_1)) = E(x_2). Explain how to calculate the Maximum Likelihood Estimation of a gamma distribution. Suppose that Y has density function f ( y ) = { k y ( 1 ? y ) , 0 ?
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About examples, ecnerwala's comment here explains how the transposition principle can be used to motivate the construction used while computing the prefix sums of the Dirichlet convolution of two not-necessarily-multiplicative functions. Hopefully this is an example of what you're looking for. → ...
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How to calculate an FFT? If one function is the complex conjugate of another function, what is the relationship between their Fourier coefficients? Why is convolution equal to polynomial? Does Fourier have to be linear? Consider the periodic function f(x)=|x| for -1 \leg x \leq 1 and ...
@ilem777 see Conv() module in activations study branch for example implementations of alternative activation functions: yolov5/models/common.py Lines 34 to 57 in 0824388 class Conv(nn.Module): # Standard convolution def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True...
Calculation of results From the area measurements using simple arithmetic it is simple to calculate the concentration of each component as a percent of the total. %A = [Latex]\frac{Area of Peak A X 100}{Total Areas of Peaks (A + B + C + D)}[/latex] ...
Model error can be measured by means of different loss functions. How to choose the best one requires experience. For complex applications, we often need to carefully adapt the loss function in order to drive training in directions we are interested in. As an example, let's look at how to...