iris localization using integro differential operator. The rar contains 5 files in order to computer the integro differential operator of the normalized contour of the iris and puil boundaries and then add circles to the respective boundaries.
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
Control optimisation. It is example of use BFGS algorithm to control satellite form Earth atmosphere to the Mars. Controled is engine power (bang-bang type) and angle of nozze.
Metric Converter is an useful tool for metric conversion, weight conversion, area conversion, mass conversion, angle conversion or any other unit conversions performed by, well, all. :)
This function is used to evaluate the max height and the max
distance of a projectile and plot the trajectory.
Inputs
v0 : The initial velocity in m/s
theta: The angle at which the projectile is fired in degrees
Outputs
hmax : The maximum hieght in m
dmax : The maximum distance in m
Computes all eigenvalues and eigenvectors of a real symmetric matrix a,
! which is of size n by n, stored in a physical np by np array.
! On output, elements of a above the diagonal are destroyed.
! d returns the eigenvalues of a in its first n elements.
! v is a matrix with the same logical and physical dimensions as a,
! whose columns contain, on output, the normalized eigenvectors of a.
! nrot returns the number of Jacobi rotations that were required.
! Please notice that the eigenvalues are not ordered on output.
! If the sorting is desired, the addintioal routine "eigsrt"
! can be invoked to reorder the output of jacobi.
We are currently witnessing an increase in telecommunications norms and
standards given the recent advances in this domain. The increasing number of
normalized standards paves the way for an increase in the range of offers and
services available for each consumer. Moreover, the majority of available radio
frequencies have already been allocated.
