GraphCut Minimization Library 轉換成 VC++6.0 Class File
標簽： Minimization GraphCut Library Class
上傳時間： 2015-06-09
上傳用戶：wangchong
This class implements the same API as the Java 1.3 java.util.TimerTask. * Note that a TimerTask can only be scheduled on one Timer at a time, but * that this implementation does not enforce that constraint.
標簽： TimerTask implements the class
上傳時間： 2015-06-10
上傳用戶：無聊來刷下
設計文檔基本內容如下： 1) 整體框架 2) 詞法分析 Class CTokenizer Class CScaner C關鍵字表 標識符詞法 3) 語法分析 Class CParser Grammar 基本樹形結構 支持的語句及運算 4) 建立符號表 Class LineListRec Class BucketListRec Class CSymbolTable Class CFunArgsCheck 5) 類型檢測 Class CAnalyzer 類型匹配 函數調用參數檢測 6) 代碼生成 PCode 80X86 ASM 7) 總結 詳細內容請閱讀本文提供的設計文檔與全部源代碼。
標簽： Class CTokenizer CScaner 分
上傳時間： 2014-01-11
上傳用戶：qiaoyue
圖解PFC(Powerbuilder Foundation Class)學習
標簽： Powerbuilder Foundation Class PFC
上傳時間： 2015-06-14
上傳用戶：zhangzhenyu
a non-sharing smart pointer class that can be used with STL containers such as std::map, vector, list, set, and deque. The smart pointer has an assignment operator and greater than operator that call the target object s operator.
標簽： non-sharing containers pointer vector
上傳時間： 2015-06-15
上傳用戶：Late_Li
Visual Basic 6.0 Run-time Files
標簽： Run-time Visual Basic Files
上傳時間： 2015-06-17
上傳用戶：guanliya
Visual Basic 5.0 Run-time Files
標簽： Run-time Visual Basic Files
上傳時間： 2013-12-18
上傳用戶：kbnswdifs
This is my assignment for my tutor s Class. and many problems exist,so you should comprhend it and improve it to perfect.
標簽： assignment and comprhend problems
上傳時間： 2015-06-22
上傳用戶：jyycc
Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
標簽： implements the wav Included
上傳時間： 2015-06-23
上傳用戶：愛死愛死
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation. A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.
標簽： univariate and bivariate analysis
上傳時間： 2015-06-23
上傳用戶：chongcongying
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