DATA: it_header TYPE bapibus1006_head OCCURS 0 WITH HEADER LINE. DATA: it_centr TYPE bapibus1006_central OCCURS 0 WITH HEADER LINE. DATA: g_bp LIKE bapibus1006_head-bpartner. DATA: g_cat LIKE bapibus1006_head-partn_cat VALUE 1 . DATA: it_guid LIKE bus000___i OCCURS 0 WITH HEADER LINE. DATA: it_custo LIKE bus000_eew OCCURS 0 WITH HEADER LINE.
上傳時間： 2015-12-17
上傳用戶：王小奇
AI Technology used in Data Retrieve and Search Engine.
標簽： Technology Retrieve Engine Search
上傳時間： 2014-06-01
上傳用戶：爺的氣質
一個簡單的停車場管理程序,是初級學習數據結構時的一個十分重要的實驗,了解這個對學習堆棧十分有用,基本題目是 設有一個可以停放[size=10.5pt]N[size=10.5pt]輛汽車的狹長的停車場，[size=10.5pt] [size=10.5pt]它們有一個大門可以供車輛進出。車輛按到達停車場時間的先后次序從停車場最里面向門口處停放（最先到達的第一輛車停在停車場的最里面）。如果停車場已放滿[size=10.5pt]N[size=10.5pt]輛車，則后來的車輛只能在停車場大門外的便道上等待，一旦停車場內有車開走，則排在便道上的第一輛車就可進入停車場。停車場內如果有某輛車要開走，在它之后進入停車場的車輛都必須先退出停車場為它讓路，待其開出停車場后，這些車輛再依原來的次序進入。每輛車在離開停車場時，根據它在停車場內停留時間的長短交費。如果停在便道上的車輛未進入停車場就要離去，允許其離去時不收停車費，并且仍然保持在便道上等待的車輛的次序
上傳時間： 2013-12-16
上傳用戶：yyq123456789
data mining concept and technic
標簽： concept technic mining data
上傳時間： 2013-12-11
上傳用戶：ainimao
EclipseME可以幫助你簡化Java 2 Micro Edition (C) Midlet的開發工作。 EclipseME提供了下列功能以幫助開發者輕松的創建Midlets： 無線工具包首選項 創建新的J2ME Midlet套件項目 創建新的Midlet Java應用描述文件(JAD)編輯器 對class文件進行增量的/自動的預檢驗 支持從Eclipse中啟動運行J2ME模擬器 打包以及部署（包括無線下載方式）測試，并可以使用ProGuard對輸出包進行混淆
標簽： EclipseME Edition Midlets Midlet
上傳時間： 2013-12-18
上傳用戶：gyq
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information
標簽： points the minimize respect
上傳時間： 2014-01-02
上傳用戶：gyq
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
標簽： preprocessing frequently selection technique
上傳時間： 2014-01-19
上傳用戶：lindor
The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Students who have any questions or difficulties using this software, or require the additional functions from the Signal Processing Toolbox should contact their professor.
標簽： files data distributed The
上傳時間： 2014-12-06
上傳用戶：wuyuying
This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.
標簽： performance asymptotic examines non-data
上傳時間： 2015-12-30
上傳用戶：225588
In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.
標簽： scientific parameter interest decoding
上傳時間： 2015-12-30
上傳用戶：894898248
