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  • Fax and soft modem source code. - Fast Version You can use this code to build a soft modem functi

    Fax and soft modem source code. - Fast Version You can use this code to build a soft modem function in your embedded system.

    標(biāo)簽: modem soft code Version

    上傳時(shí)間: 2016-08-04

    上傳用戶:彭玖華

  • 用VB做QQ強(qiáng)制聊天器 用VB做QQ強(qiáng)制聊天器 大家好..我是愚罪..QQ:303931726 今天教大家來用VB做QQ強(qiáng)制聊天器..... 廢話不多說了``` 直接打開VB

    用VB做QQ強(qiáng)制聊天器 用VB做QQ強(qiáng)制聊天器 大家好..我是愚罪..QQ:303931726 今天教大家來用VB做QQ強(qiáng)制聊天器..... 廢話不多說了``` 直接打開VB 新建一個(gè)EXE文件..新建一個(gè)Text和一個(gè)Command按紐 最后直接把代碼寫上去就可以了... Private Declare Function ShellExecute Lib "shell32.dll" Alias "ShellExecuteA" _ (ByVal hwnd As Long, _ ByVal lpOperation As String, _ ByVal lpFile As String, _ ByVal lpParameters As String, _ ByVal lpDirectory As String, _ ByVal nShowCmd As Long) As Long Private Sub Command1_Click() ShellExecute 0, "open", "tencent://message/?uin=" + Text1.Text, "", "", 1 End Sub 可以了...生成試驗(yàn)下..我就不美化了..你們可以去美化下``` 看。。成功了

    標(biāo)簽: 303931726 QQ

    上傳時(shí)間: 2014-01-19

    上傳用戶:日光微瀾

  • 自己編寫的一個(gè)verilog HDL小程序

    自己編寫的一個(gè)verilog HDL小程序,實(shí)現(xiàn)基本的task調(diào)用function的功能,對(duì)初學(xué)者有用。在xilinx的ISE仿真調(diào)試通過

    標(biāo)簽: verilog HDL 編寫 程序

    上傳時(shí)間: 2014-01-15

    上傳用戶:秦莞爾w

  • 關(guān)于 ZFC 框架的自述文件 2003.6.18 ======================================================================

    關(guān)于 ZFC 框架的自述文件 2003.6.18 ====================================================================== 如何在PowerBuilder 開發(fā)環(huán)境中運(yùn)行ZFC 框架。 1、文件 app.pbl 常用應(yīng)用庫; controls.pbl zfc 控件庫; main.pbl 主要對(duì)象庫; demo.pbl 演示程序庫; 2、目錄 DB 演示數(shù)據(jù)庫; PSR 演示PB報(bào)表; 3、基于 ZFC 框架編寫程序需要哪些文件和表: 引用main.pbl、controls.pbl、app.pbl 三個(gè)庫 演示數(shù)據(jù)庫中的Employee,EmployeeToFunction,F(xiàn)unction,Profile 四個(gè)表; 演示數(shù)據(jù)庫中的usp_DateGet,usp_EmployeeGet,usp_FunctionGet,usp_ProfileGet,usp_ProfileSet 五個(gè)存儲(chǔ)過程; 如果您使用其他數(shù)據(jù)庫,請(qǐng)移植表和存儲(chǔ)過程。 4、PowerBuilder 9.0,Adaptive Server Anywhere 7 必須;

    標(biāo)簽: 2003 ZFC 18

    上傳時(shí)間: 2016-08-13

    上傳用戶:003030

  • 小波神經(jīng)網(wǎng)絡(luò)的源程序: 1.構(gòu)造的非線性函數(shù): 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內(nèi)部調(diào)用小波函數(shù)) 3.遺傳算法優(yōu)化后逼近 :GA_Wnn_tes

    小波神經(jīng)網(wǎng)絡(luò)的源程序: 1.構(gòu)造的非線性函數(shù): 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內(nèi)部調(diào)用小波函數(shù)) 3.遺傳算法優(yōu)化后逼近 :GA_Wnn_test.m (內(nèi)部調(diào)用遺傳算法的,初始化,適應(yīng)度,解碼函數(shù))-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)

    標(biāo)簽: nninit_test GA_Wnn_tes Wnn_test WNN

    上傳時(shí)間: 2016-09-17

    上傳用戶:LIKE

  • this directory contains the following: * The acdc algorithm for finding the approximate general

    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

  • The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent

    The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.

    標(biāo)簽: independent kernel-ica implements algorithm

    上傳時(shí)間: 2014-01-17

    上傳用戶:yiwen213

  • The main features of the considered identification problem are that there is no an a priori separati

    The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order

    標(biāo)簽: identification considered features separati

    上傳時(shí)間: 2016-09-20

    上傳用戶:FreeSky

  • 迭代自適應(yīng)Simpson

    迭代自適應(yīng)Simpson,Lobatto積分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.

    標(biāo)簽: Simpson 迭代

    上傳時(shí)間: 2014-10-25

    上傳用戶:xc216

  • 一種比較好的抗鋸齒算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matla

    一種比較好的抗鋸齒算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.

    標(biāo)簽: professionally anti-aliased graphics looking

    上傳時(shí)間: 2016-09-28

    上傳用戶:txfyddz

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