sourceforge歷史版本完整下載: http://sourceforge.net/project/showfiles.php?group_id=202044 提供了基于b樹索引算法的文件數(shù)據(jù)數(shù)據(jù)庫模塊詳見storage/目錄下面的 btree.c與pager.c container目錄為常用的容器實現(xiàn)，如果rbtree avltree map heap list vector hashtable deque T樹 B樹, test目錄為測試程序代碼經過初步測試，比較穩(wěn)定。 os_api:裝一些操作系統(tǒng)相關的接口函數(shù)。已完成event mutex sem thread pipe相關的封裝 advance_container:提供優(yōu)先級消息隊列,普通消息隊列，定時器容器。 frame:目前提供了listerner（linux下版本，模仿ace的反應器）定時器 algorithm:補充了堆排序 與快速排序 所有代碼均已在windows linux與uclinux + arm44b0平臺下測試 歡迎交流 msn:lsccsl@163.net mail:lsccsl@tom.com
標簽： sourceforge showfiles group_id project
上傳時間： 2016-07-16
上傳用戶：lili123
ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noise variance ％ Mt - number of Tx antennas ％ Mr - number of Rx antennas ％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column ％ is the value of the antenna outputs at a single time instance) ％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission ％ N - number of symbols transmitted in OFDM frame ％ ％ outputs: ％ y - vector of channel outputs (matrix for MIMO again, just like x matrix) ％ create noise vector sequence (each row is a different antenna, each column is a ％ different time index) note: noise is spatially and temporally white
標簽： transmission simulator Channel inputs
上傳時間： 2016-07-22
上傳用戶：kelimu
本代碼適合嵌入式系統(tǒng)（愛普生S1C33209）硬件驅動，其中包括led驅動，key驅動，timer驅動，以及必須的boot，vector等源代碼。
標簽： S1C33209 代碼 嵌入式系統(tǒng) 愛普生
上傳時間： 2016-07-31
上傳用戶：lps11188
統(tǒng)計模式識別、線性或非線性回歸以及人工神經網絡等方法是數(shù)據(jù)挖掘的有效工具，支持向量分類（support vector classification，簡稱SVC）算法是一個很有發(fā)展前景的方向。
標簽： 模式識別 回歸 人工神經網絡 數(shù)據(jù)挖掘
上傳時間： 2014-02-16
上傳用戶：lifangyuan12
使用遞歸的方法來求取N階矩陣的行列式，其中矩陣使用vector來表示，求取行列式的方法為代數(shù)余子式展開的方式
上傳時間： 2014-01-24
上傳用戶：wangzhen1990
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
MATLAB的SVM算法實現(xiàn)，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
上傳時間： 2013-12-20
上傳用戶：jkhjkh1982
This book is the product of a twenty-year resarch project at Rice University to develop fundamental compiler technologies for vector and parallel computer systems. The effort was by Randy Allen and Ken Kennedy with the help of David Kuck and Michael Wolfe.
標簽： fundamental twenty-year University develop
上傳時間： 2016-10-16
上傳用戶：yiwen213
The DSPLIB is a collection of 39 high-level optimized DSP functions for the TMS320C64x device. This source code library includes C-callable functions (ANSI-C language compatible) for general signal processing math and vector functions.
標簽： collection high-level functions optimized
上傳時間： 2016-10-16
上傳用戶：趙云興
The DSPLIB is a collection of 39 high-level optimized DSP functions for the TMS320C64x device. This source code library includes C-callable functions (ANSI-C language compatible) for general signal processing math and vector functions.
標簽： collection high-level functions optimized
上傳時間： 2016-10-16
上傳用戶：gengxiaochao
