We measured the output amplitude and phase at a signal peak measured only to the nearest sample: This is the major source of error in our simulation.
To achieve the desired high-speed performance in cost-effective manner, the DSC developed adopts a linear interpolation algorithm in which two nearest samples to each object pixel of a monitor are selected and only angular interpolation is performed.
When α is not an integer, is interpolated with the nearest samples.
The UCPMOT + NF_N + MOT technique assists to engage farthest borderline neighbors and their mean, involving the nearest samples.
Make all samples satisfy |g(x)| ≥ 1 by sample normalization, that is, the nearest sample of distance classification surface satisfies that |g(x)| = 1.
The optimal hyperplane is between them, and it can make the distance between the two nearest samples on the two sides of the hyperplane maximized.
Table 3 is a confusion matrix of the query by example when the Euclidean distance was used and 10 nearest samples were retrieved.
Based on structural risk minimization theory, SVMs generate an optimal classification hyperplane, which maximizes the margin between the hyperplane and the nearest samples of the classified sample categories and sets an equal margin.
A support vector machine finds a separating decision surface (hyperplane) between two classes that maximizes the margin, which is the distance of that hyperplane to the nearest samples.
