The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa.
For example,
>> project.name = MyProject
>> project.id = 1234
>> project.param.a = 3.1415
>> project.param.b = 42
becomes with str=xml_format(project, off )
"<project>
<name>MyProject</name>
<id>1234</id>
<param>
<a>3.1415</a>
<b>42</b>
</param>
</project>"
On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
The SL74HC573 is identical in pinout to the LS/ALS573. The device
inputs are compatible with standard CMOS outputs with pullup
resistors, they are compatible with LS/ALSTTL outputs.
These latches appear transparent to data (i.e., the outputs change
asynchronously) when Latch Enable is high. When Latch Enable goes
low, data meeting the setup and hold time becomes latched.
We are providing the best information available to us as at date of writing and intend to update it at
frequent intervals as things change and/or more information becomes available. However we intend this
Q&A as a guide only and recommend that users obtain specific information to determine applicability to
their specific requirements. (This is another way of saying that we can t be held liable or responsible for
the content.)
A java application - processing which can be downloaded free from processing.org
Here it uses a free library - OpenCV - made by intel. .. to convert all the pixels in an image - in fact in a movie - a capture from the webcam. If the color of a pixel is "higher" comparing to a threshold it turns black - otherwise it becomes white.
obot control, a subject aimed at making robots behave as desired, has been
extensively developed for more than two decades. Among many books being
published on this subject, a common feature is to treat a robot as a single
system that is to be controlled by a variety of control algorithms depending on
different scenarios and control objectives. However, when a robot becomes more
complex and its degrees of freedom of motion increase substantially, the needed
control computation can easily go beyond the scope a modern computer can
handle within a pre-specified sampling period. A solution is to base the control
on subsystem dynamics.
Regardless of the branch of science or engineering, theoreticians have always
been enamored with the notion of expressing their results in the form of
closed-form expressions. Quite often, the elegance of the closed-form solution
is overshadowed by the complexity of its form and the difficulty in evaluating
it numerically. In such instances, one becomes motivated to search instead for
a solution that is simple in form and simple to evaluate.
Regardless of the branch of science or engineering, theoreticians have always been
enamored with the notion of expressing their results in the form of closed-form
expressions. Quite often the elegance of the closed-form solution is overshadowed
by the complexity of its form and the difficulty in evaluating it numerically. In
such instances, one becomes motivated to search instead for a solution that is
simple in form and likewise simple to evaluate.
Free Space Optical Communication (FSOC) is an effective alternative technology to
meet the Next Generation Network (NGN) demands as well as highly secured (mili-
tary) communications. FSOC includes various advantages like last mile access, easy
installation, free of Electro Magnetic Interference (EMI)/Electro Magnetic Compatibil-
ity (EMC) and license free access etc. In FSOC, the optical beam propagation in the
turbulentatmosphereisseverelyaffectedbyvariousfactorssuspendedinthechannel,
geographicallocationoftheinstallationsite,terraintypeandmeteorologicalchanges.
Therefore a rigorous experimental study over a longer period becomes significant to
analyze the quality and reliability of the FSOC channel and the maximum data rate
that the system can operate since data transmission is completely season dependent.
In order to improve the spectral efficiency in wireless communications, multiple
antennas are employed at both transmitter and receiver sides, where the resulting
system is referred to as the multiple-input multiple-output (MIMO) system. In
MIMO systems, it is usually requiredto detect signals jointly as multiple signals are
transmitted through multiple signal paths between the transmitter and the receiver.
This joint detection becomes the MIMO detection.
LTE-Advanced becomes a truly global standard for 4G cellular communications.
Relay, as one of the key technologies of LTE-Advanced, can significantly extend
the coverage, and improve the system throughput. LTE-A standards and tech-
nologies were described in several recent books where the limited pages for relay
feature prevent the detailed explanations of the technology. In this book, we tried
to provide an in-depth description of LTE-A relay development. More specifically,
significant portions are spent on relay channel modeling and potential technologies
during the study item phase of the development, although some of those tech-
nologies, such as Type 2 cooperative relay, multi-hop relay, relay with backhaul of
carrier aggregation, were not standardized in Release 10 LTE.
