This example program shows how to configure and use the A/D Converter of the following microcontroller:
STMicroelectronics ST10F166
After configuring the A/D, the program reads the A/D result and outputs the converted value using the serial port.
To run this program...
Build the project (Project Menu, Build Target)
Start the debugger (Debug Menu, Start/Stop Debug Session)
View the Serial Window (View Menu, Serial Window #1)
View the A/D converter peripheral (Peripheral Menu, A/D Converter)
Run the program (Debug Menu, Go)
A debug script (debug.ini) creates buttons that set different analog values in A/D channels. As the program runs, you will see the A/D input and output change.
Other buttons create signals that generate sine wave or sawtooth patterns as analog inputs. µ Vision3 users may enable the built-in Logic Analyzer to view, measure and compare these input signals graphically.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
"Start" to start the fuzzy clustering process.
PathPlannerApp Manual With Tutorial.doc is a path planning-tutorial that provides detailed explanation and pseudo-codes.
In order to get the most out of the tutorial, you should start with the "PathPlannerApp.base" and avoid looking through the "PathPlannerApp.solution" untill you have completed the project.
Due to an increase in demand for and questions about direct disk
access for Micrososft platforms, and due to the fact that Microsoft
has no API for direct disk access, I am releasing this library
much earlier than I intended at that start. I am still working on
this code.
