The programs and applications on this disk have been carefully tested, but are
not guaranteed for any particular purpose. The publisher does not offer any
warranties and does not guarantee the accuracy, adequacy, or completeness of
any information and is not responsible for any errors or omissions or the
results obtained from use of such information.
This paper investigates the design of joint frequency
offset and carrier phase estimation of a multi-frequency time division
multiple access (MF-TDMA) demodulator that is applied to
a digital video broadcasting—return channel system via satellite
(DVB-RCS). The proposed joint estimation algorithm is based on
the interpolation technique for two correlation values in the frequency
and phase domains. This simple interpolation technique
can significantly improve frequency and phase resolution capabilities
of the proposed technique without increasing the number of
the correlation values. In addition, the overall block diagram of a
digital communications receiver for DVB-RCS is presented, which
was designed using the proposed estimation algorithms.
Index Terms—Carrier phase estimation, DVB-RCS, frequency
offset estimation, interpolation, joint estimation, MF-TDMA.
Anyone who interacts with today s modern databases needs to know SQL (Structured Query Language), the standard language for generating, manipulating, and retrieving database information. In recent years, the dramatic rise in the popularity of relational databases and multi-user databases has fueled a healthy demand for application developers and others who can write SQL code efficiently and correctly.
This zip file describes how to generate a clock on the PCK pin using the PMC running under AT91RM3400DK with Green hills 3.6.1 Multi® 2000 Software Tool. Includes main.html file for help.
To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm.
This program is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** GNU General Public License for more details.
Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
CHAPT13\AnsiWinTerm.cpp Class used in Win32 terminal emulation
CHAPT13\AnsiWinTerm.h Header file for the AnsiWinTerm class
CHAPT13\Chapt13.cpp 32-bit test program of terminal emulation
CHAPT13\Chapt13.dsp Visual C++ project file
CHAPT13\Chapt13.dsw Visual C++ workspace file
CHAPT13\Chapt13.rc The resource file used in the test program
CHAPT13\resource.h IDs defined in the resource file
CHAPT13\Win32Term.cpp The Win32 general purpose terminal class
CHAPT13\Win32Term.h Definition of the class
CHAPT13\Debug\Chapt13.exe 32-bit executable of the test program.
