the attached utility is a work I ve submitted to the university
It shows what a jpeg compression is all about.
the function implements the DCT transform, using a matrix operator.
note that matlab has a function for the DCT and iDCT transforms
that might be more efficient.
Kriging 插值程序,實現二維三維數據插值
Makefile_hp700
Makefile_ibm6000
kriging.mdf
kriging.c
outboard.c
inv_m.tar.gz The inverse matrix source codes which got from Netlib.
f2c.tar.gz The head file and library which are used to inverse matrix source codes.
krig.net The example dx file.
data1.dx The input example.
三維矢量有限元-矩量法電磁場分析程序。
EMAP5 is a full-wave electromagnetic field solver that combines the method of moments (MOM) with a vector finite element method (VFEM). It employs the finite element method (FEM) to analyze a dielectric volume, and employs the method of moments (MoM) to solve for currents on the surface of (or external to) this volume. The two methods are coupled through the fields on the dielectric surface.
多項式曲線擬合 任意介數 Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by something like this.
CPolyFit<double> PolyFitObj
double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A)
where X and Y are vectors of doubles which must have the same size and
A is a vector of doubles which must be the same size as the number of
coefficients required.
returns: The correlation coefficient or -1 on failure.
produces: A vector (A) which holds the coefficients.
This Two-Category Classifier Using Discriminant Functions to
separeate two classes. The Classifier is designed on classes which
has two feature vectors and other case it has one feature vector.
EKF-SLAM Simulator
This version of the simulator uses global variables for
all large objects, such as the state covariance matrix.
While bad programming practice, it is a necessary evil
for MatLab efficiency, as MatLab has no facility to avoid
gratuitous memory allocation and copying when passing
(and modifying) variables between functions. With this
concession, effort has been made to keep the code as
clean and modular as possible.