含此文档只表示此压缩包来自于DELPHI盒子网站 ------------------------------------------------------------------------- DELPHI盒子 二零零三新版 http://www.2ccc.com http://www.delphibox.com Email:root@2ccc.com DELPHI相关源码下载，作品发布，个性论坛，支持WEB/FTP文件上传，会员WEB空间，VIP会员***@2ccc.com邮箱。 2ccc技术论坛 http://bbs.2ccc.com 2ccc个人网络空间，免费8M永久使用web空间，可以上传任何文件，上传进度显示，送个人留言板，VIP会员可申请100M空间。 http://my.2ccc.com 2003-9-25 第9次改版正式开通，每日更新。 -------------------------------------------------------------------------- DELPHIBOX New Version @ 2003 http://www.2ccc.com http://www.delphibox.com Email:root@2ccc.com DELPHI Code,App,Simple to Publish,forum,WEB/FTP uploads Support,member WEB Space or email addr. 2ccc Tech Forum. http://bbs.2ccc.com 2ccc Web Space,Free 8M Space,Upload any file-type. http://my.2ccc.com 2003-9-25 New Version WebSite ninthly,Update everyday.
上传时间： 2015-09-05
上传用户：qiaoyue
This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) process and represented in the state-space domain.
标签： speech with enhancement corrupted
上传时间： 2015-09-07
上传用户：zhangyi99104144
This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.
标签： speech enhancement corrupted problem
上传时间： 2013-12-20
上传用户：569342831
回溯（b a c k t r a c k i n g）是一种系统地搜索问题解答的方法。为了实现回溯，首先需要为问题定义一个解空间（ solution space），这个空间必须至少包含问题的一个解（可能是最优的）。在迷宫老鼠问题中，我们可以定义一个包含从入口到出口的所有路径的解空间；在具有n 个对象的0 / 1背包问题中（见1 . 4节和2 . 2节），解空间的一个合理选择是2n 个长度为n 的0 / 1向量的集合，这个集合表示了将0或1分配给x的所有可能方法。当n= 3时，解空间为{ ( 0 , 0 , 0 )，( 0 , 1 , 0 )，( 0 , 0 , 1 )，( 1 , 0 , 0 )，( 0 , 1 , 1 )，( 1 , 0 , 1 )，( 1 , 1 , 0 )，( 1 , 1 , 1 ) }。
标签： 搜索
上传时间： 2014-01-17
上传用户：jhksyghr
If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used.
标签： sorted individually respect vectors
上传时间： 2015-09-23
上传用户：comua
This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/performance tradeoffs.
标签： capabilities exploration AccelDSP exercise
上传时间： 2014-12-22
上传用户：eclipse
来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.
标签： Qeensland functions provides Toolbox
上传时间： 2015-09-30
上传用户：qb1993225
ＦＤＴＤ !-- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999 !-- by Jos Bergervoet. !-- Plot field and/or Poynting vector S around radiating linear dipole
标签： Bergervoet Berenger Fortran version
上传时间： 2015-10-02
上传用户：zhuimenghuadie
用STL实现快速排序，使用vector。
上传时间： 2014-01-08
上传用户：stampede
A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signi cant colors, a prepro- cessor for content-based query systems. A 512 512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate
标签： technique presented features recovery
上传时间： 2015-10-14
上传用户：410805624
