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We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
標(biāo)簽:
frequency-offset
estimation
quadrature
amplitude
上傳時(shí)間:
2014-01-22
上傳用戶:牛布牛
-
UML,統(tǒng)一建模,包括UML和模式應(yīng)用 applying UML and Patterns(中文版)和applying UML and Patterns
標(biāo)簽:
UML
上傳時(shí)間:
2013-12-22
上傳用戶:chenjjer
-
this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version
[acdc.m], rather than the Symmetric version[acdc_sym] is preferable.
* A function that finds an initial guess
for acdc by applying hard-whitening
followed by Cardoso s orthogonal joint
diagonalizer. Note that acdc may also
be called without an initial guess,
in which case the initial guess is set by default to the identity matrix.
The m-file includes the joint_diag
function (by Cardoso) for performing
the orthogonal part.
[init4acdc.m]
標(biāo)簽:
approximate
directory
algorithm
the
上傳時(shí)間:
2014-01-17
上傳用戶:hanli8870
-
采用3D Bresenham算法在兩點(diǎn)間劃一直線
% This program is ported to MATLAB from:
% B.Pendleton. line3d - 3D Bresenham s (a 3D line drawing algorithm)
% ftp://ftp.isc.org/pub/usenet/comp.sources.unix/volume26/line3d, 1992
%
% Which is referenced by:
% Fischer, J., A. del Rio (2004). A Fast Method for applying Rigid
% Transformations to Volume Data, WSCG2004 Conference.
% http://wscg.zcu.cz/wscg2004/Papers_2004_Short/M19.pdf
標(biāo)簽:
Bresenham
Pendleton
program
MATLAB
上傳時(shí)間:
2013-12-10
上傳用戶:sz_hjbf
-
Aspect-Oriented Software Developement
Coverage includes
Using AOSD to streamline complex systems development without sacrificing flexibility or scalability
How AOSD builds on the object-oriented paradigmand how it s different
State-of-the-art best practices for the AOSD development process
Languages and foundations: separating concerns, filter technologies, improving modularity, integrating new features, and more
Using key AOSD tools, including AspectJ, Hyper/J, JMangler, and Java Aspect Components
Engineering aspect-oriented systems: UML, concern modeling and elaboration, dependency management, and aspect composition
Developing more secure applications with AOSD techniques
applying aspect-oriented programming to database systems
Building dynamic aspect-oriented infrastructure
標(biāo)簽:
Aspect-Oriented
Developement
streamline
Software
上傳時(shí)間:
2013-12-01
上傳用戶:jennyzai
-
The authors show to identify, design, implement, test, and refactor use-case modules, as well as extend them. They also demonstrate how to design use-case modules with the Unified Modeling Language (UML)emphasizing enhancements made in UML 2.0and how to achieve use-case modularity using aspect technologies, notably AspectJ.
Key topics include
Making the case for use cases and aspects
Capturing and modeling concerns with use cases
Keeping concerns separate with use-case modules
Modeling use-cases slices and aspects using the newest extensions to the UML notation
applying use cases and aspects in projects
標(biāo)簽:
implement
identify
refactor
use-case
上傳時(shí)間:
2016-10-06
上傳用戶:dsgkjgkjg
-
This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on histogram of the
medical images and after that histogram equalization
has been applied on the new histogram. Our proposed
method in despite of its simplicity has better results in
compare to other usual methods based on histogram
equalization. The quality of resulted images after
applying our proposed methods has been tested on a
database (medical images) with a confirmed criterion
by viewer. Also we have considered a mathematical
criterion for comparing our proposed algorithm with
other available methods for contrast enhancement.
Results show the better efficiency of the proposed
method.
標(biāo)簽:
Histogram
technique
increase
presents
上傳時(shí)間:
2017-04-20
上傳用戶:VRMMO
-
DDSCAT 7.3 is a freely available open-source Fortran-90 software package applying the “discrete
dipole approximation” (DDA) to calculate scattering and absorption of electromagnetic waves by targets
with arbitrary geometries and complex refractive index. The targets may be isolated entities (e.g., dust
particles), but may also be 1-d or 2-d periodic arrays of “target unit cells”, which can be used to study
absorption, scattering, and electric ?elds around arrays of nanostructures.
標(biāo)簽:
userguide
上傳時(shí)間:
2015-04-29
上傳用戶:499689361
-
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE,
Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n),
wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a
comprehensive introduction to the basic theory and practice of wireless channel modeling,
OFDM, and MIMO, with MATLAB ? programs to simulate the underlying techniques on
MIMO-OFDMsystems.Thisbookisprimarilydesignedforengineersandresearcherswhoare
interested in learning various MIMO-OFDM techniques and applying them to wireless
communications.
標(biāo)簽:
Communications
MIMO-OFDM
Wireless
MATLAB
with
上傳時(shí)間:
2020-05-28
上傳用戶:shancjb
-
Control systems are becoming more important every day. At the beginning, the in-
dustry used sequential controls for solving a lot of industrial applications in control
systems, and then the linear systems gave us a huge increase in applying automatic
linear control on industrial application. One of the most recent methods for control-
ling industrial applications is intelligent control, which is based on human behavior
or concerning natural process.
標(biāo)簽:
Intelligent
Control
Systems
LabVIEW
with
上傳時(shí)間:
2020-06-10
上傳用戶:shancjb