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19 lip 2016 · I want to understand something about the derivation of $\text{Var}(X) = E[X^2] - (E[X])^2$ Variance is defined as the expected squared difference between a random variable and the mean (expected v...
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4 gru 2018 · $$P = \mathbb{E}[X^2] = \text{Var}[X] + \mathbb{E}^2[X]$$ to evaluate the average power of the signal. As a final remark, the average power of $X$ can be seen as the length of the vector which components corresponds to the square of its expected value plus its variability.
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If there exists an m × n matrix A such that = + ‖ ‖ in which the vector ε → 0 as Δx → 0, then f is by definition differentiable at the point x.
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