Sentence examples for normalized sources from inspiring English sources

In (a) selected examples of normalized sources pairs are shown.

The dependence between any pair of normalized sources can be characterized, for example, by the conditional expectations E[ S i |S j ] and E[ S j |S i ] (i ≠ j).

In other words, in the blind spectral unmixing problem, the normalized sources can be modeled as verifying the following condition: E [ S i | S j ] = ρ ij S j, with ρ ij = E [ S i S j ], (4).

Additionally, in order to avoid scale indeterminacy and remove constant values, we have to work with normalized sources S i, i.e. S i ← ( S i − μ i ) / σ i 2 where μ i and σ i are the mean and standard deviation associated to source i.

The following theorem provides us the values of the constants a and b. ( [[19]], Theorem 3):Given a pair of dependent normalized sources S i, S j, if the conditional expectation E[ S i |S j ] is linear in S j, that is E[ S i |S j ] = a S j + b, then a = E[ S i S j ] and b = 0.

In this article, we focus only on sequential methods, also known as deflation methods, that extract normalized sources one after another by searching for local extrema of a predefined objective function.

Then the grayscale fused image and the difference images between the normalized source images are assigned to construct YCBCR components.

Secondly, based on the isotropy of the normalized source strength (NSS) response of a dipole, we obtain accurate horizontal locations of the dipoles.

Moreover, the differencing operation between the normalized source images not only provides inter-sensor contrast to make popping the potential targets but also weakens the influence of the ambient illumination variety to a certain degree.

The horizonal axis presents the normalized source-relay distance when source-destination distance is 1.

whereas the normalized source powers are allowed to vary with frequency in the second case.