An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and experimental
results show that the algorithm not only significantly increases
the convergence rate of ProcessING, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel ProcessING
structure which ensures computationally feasible spatial domain image
restoration
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.
This chapter contains sample programs for determining capacity. The reader is advised to go through the coding. The
file "capacity_water.m" is for measuring the waterfilling capacity. It should be made to work with a file similar to
"capacity_plot_main.m". The latter file deals with all the other capacity plots given in the book in Chapter 2.
All programs are verified with MATLAB versions 6.0 and above with signal ProcessING and communications toolboxes.
In this paper we describe a control methodology for
catching a fast moving object with a robot manipulator,
where visual information is employed to track the
trajectory of the target. Sensing, planning and control
are performed in real-time to cope with possible
unpredictable trajectory changes of the moving target,
and prediction techniques are adopted to compensate the
time delays introduced by visual ProcessING and by the
robot controller. A simple but reliable model of the
robot controller has been taken into account in the
control architecture for improving the performance of the
system. Experimental results have shown that the robot
system is capable of tracking and catching an object
moving on a plane at velocities of up to 700 mm/s and
accelerations of up to 1500 mm/s2.
ADM6993F/FXFiber to Fast Ethernet Converter (TS1000 CPE Complied)
The ADM6993F/FX is a single chip integrating two 10/100 Mbps MDIX TX/FX transceivers, a three-port 10/100M Ethernet L2 switch controller, and one OAM engine to meet demanding applications, including Fiber-to-Ethernet media converters, especially the fiber to the home (FTTH) media converters. The ADM6993F/FX feature set includes link pass through (LPT), TS1000 OAM frame receiving/ProcessING/transmitting, programmable link status LED display, various loop-back modes, and one configurable MII ports for snooping/inserting OAM frame from/to 100Fx. The ADM6993FX is the environmentally friendly “green” package version.
The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and classify in vivo and ex vivo MRS signals. These tools are embedded in a matlab graphical user interface (GUI). (Pre)ProcessING and classification methods can also be automatically run in a row using the matlab command line
Matsig is an object-oriented signal class library for MATLAB 6.5 and later. It implements a signal class, simplifying operations and manipulations common in audio signal ProcessING and speech ProcessING
