Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA TOOLbox is presen
This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory.
Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is
"runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular
type of modulation is shown in every plot for purposes of comparison.
This software has been tested on MATLAB version 6.0 and above with signal processing and communication TOOLbox options.
The main file in this list of programs is "vblast.m". Type "help vblast" on the command line for details.Study the coding
by stepping through the program. These programs require around 5000 packets for reasonable plotting accuracy.This has been
implemented for a 2x2 system. The reader can program other variations.
The program has been tested on MATLAB version 6.0 and above with signal processing TOOLbox and communication TOOLbox options.
MATLAB的SVM算法實現，Matlab Support Vector Machine TOOLbox，This TOOLbox was designed as a teaching aid, which matlab is
particularly good for since source code is relatively legible and
simple to modify. However, it is still reasonably fast if used
with the supplied optimiser. However, if you really want to speed
things up you should consider compiling the matrix composition
routine for H into a mex function. Then again if you really want
to speed things up you probably shouldn t be using matlab
anyway... Get hold of a dedicated C program once you understand
the algorithm.
VTC file is the file format of the Brainvoyager. The FMRI matchine scan human s brain and get the vtc data. This TOOLbox can help you to read the vtc file into matlab.
MATLAB Code for Optimal Quincunx Filter
Bank Design
Yi Chen
July 17, 2006
This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms
1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of
quincunx filter banks with perfect reconstruction, linear phase, high coding gain, certain
vanishing moments properties, and good frequency selectivity. The code can be
used to design quincunx filter banks with two, three, or four lifting steps. The SeDuMi
Matlab TOOLbox [3] is used to solve the second-order cone programming subproblems
in the two algorithms, and must be installed in order for this code to work.
