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.
標簽： frequency-offset estimation quadrature amplitude
上傳時間： 2014-01-22
上傳用戶：牛布牛
UML，統一建模，包括UML和模式應用 applying UML and Patterns(中文版)和applying UML and Patterns
標簽： UML
上傳時間： 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]
標簽： approximate directory algorithm the
上傳時間： 2014-01-17
上傳用戶：hanli8870
采用3D Bresenham算法在兩點間劃一直線 ％ 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
標簽： Bresenham Pendleton program MATLAB
上傳時間： 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
標簽： Aspect-Oriented Developement streamline Software
上傳時間： 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
標簽： implement identify refactor use-case
上傳時間： 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.
標簽： Histogram technique increase presents
上傳時間： 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.
標簽： userguide
上傳時間： 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.
標簽： Communications MIMO-OFDM Wireless MATLAB with
上傳時間： 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.
標簽： Intelligent Control Systems LabVIEW with
上傳時間： 2020-06-10
上傳用戶：shancjb
