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(hù)：牛布牛
各人用Mtalab編寫(xiě)的SVM程序，附帶有粒子說(shuō)明！完全通過(guò)！希望對(duì)大家有幫助！ This Procedure is programmed by myself, hope can bring use to you!
標(biāo)簽： Mtalab SVM 編寫(xiě) 程序
上傳時(shí)間： 2016-01-17
上傳用戶(hù)：源弋弋
法國(guó)cromda編寫(xiě)的新版本MATRICE 2（矩陣和矢量運(yùn)算單元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular matrix, except (InvMat and SysLin) // No more need to use the InitMat Procedure (suppressed) : // - the routines detect automaticaly the dimensions of matrix and vector // - error code MatDimNul is generated if zero lines or column in matrix and vector (See DimensionMatrice and DimensionVecteur) // - error code MatMauvDim is generated if the dimensions of matrix/vector don t allow valid result // - // The result matrix is dimensioned automaticaly
標(biāo)簽： MATRICE cromda 法國(guó) 編寫(xiě)
上傳時(shí)間： 2014-01-23
上傳用戶(hù)：sy_jiadeyi
基本的k-means聚類(lèi)算法c++實(shí)現(xiàn)，對(duì)于理解算法的過(guò)程非常有幫助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the Procedure of k-means algorithm.
上傳時(shí)間： 2013-12-01
上傳用戶(hù)：wangchong
ExcpHook is an open source (see license.txt) Exception Monitor for Windows made by Gynvael Coldwind (of Team Vexillium). t uses a ring0 driver to hook KiExceptionDispatch Procedure to detect the exceptions, and then shows information about the exception on stdout (using the ring3 part of the program ofc). The difference between this method, and the standard debug API method it that this method monitores all of XP processes, and the program does not have to attach to any other process to monitor it, hence it s harder to detect. The code currently is considered as ALPHA, and it has been reported to BSoD sometimes (on multi core/cpu machines). Take Care!
標(biāo)簽： Exception ExcpHook Coldwind Monitor
上傳時(shí)間： 2014-02-10
上傳用戶(hù)：jing911003
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation Procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
標(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2016-04-15
上傳用戶(hù)：talenthn
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation Procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip
標(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2016-04-15
上傳用戶(hù)：qilin
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation Procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf
標(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2014-12-08
上傳用戶(hù)：一諾88
在arm編程的調(diào)試中經(jīng)常碰到函數(shù)調(diào)用的規(guī)范問(wèn)題，在函數(shù)調(diào)用中寄存器 的使用與分配是如何進(jìn)行的，一個(gè)結(jié)構(gòu)體是如何傳遞的，我們應(yīng)該怎樣寫(xiě)匯編函數(shù)才能符合函數(shù)調(diào)用的規(guī)范。這篇文章很好的闡釋了這個(gè)問(wèn)題。ATPCS（The ARM-THUMB Procedure Call Standard）的解釋的ppt，容易懂，不要錯(cuò)過(guò)哦。
標(biāo)簽： arm 編程 函數(shù) 調(diào)試
上傳時(shí)間： 2016-04-17
上傳用戶(hù)：xinyuzhiqiwuwu
unit comm interface uses Windows, Messages, SysUtils, Classes, Graphics, Controls, Forms, Dialogs, SPComm, StdCtrls, ExtCtrls type TFcomm = class(TForm) Comm1: TComm GroupBox1: TGroupBox Memo1: TMemo Memo2: TMemo GroupBox2: TGroupBox Button1: TButton Btn_send: TButton Button2: TButton Procedure Button1Click(Sender: TObject) Procedure Button2Click(Sender: TObject) Procedure Btn_sendClick(Sender: TObject) Procedure Comm1ReceiveData(Sender: TObject Buffer: Pointer BufferLength: Word) private { Private declarations } public { Public declarations } end
標(biāo)簽： interface Messages Graphics Controls
上傳時(shí)間： 2016-06-10
上傳用戶(hù)：gxmm
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