A simple example can be found in the file call_pca.c in the nstloader subdirectory of this tutorial. In order to try the Nst Loader mechanism, edit the Makefile and adjust NST_HOME to point to your local Neo/NST installation path.
The example circuit PCA.NST.gz which is embedded into the C-program
generates a sequence of 3D random vectors, computes the principal components
of the data distribution and displays the results. It has the following
interface:
| Input field 0 | 3D float[] | Variance of random sequence along X, Y and Z-axis |
| Output field 0 | dynamical float[] | Eigenvector matrix |
| Output field 1 | 3D float | Eigenvalues in descendig order |
The C-program is a simple wrapper which executes the "pca" unit while binding C-variables to its input- and output fields. It serves as a starting point for more advanced applications, which embedd complete Neo circuits to realize complex Neural Networks or Data Mining tasks. These in turn can be implemented with the Neo/NST rapid prototyping framework.