ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University).
標簽： Matlabtoolkit facilitate sequential functions
上傳時間： 2015-08-31
上傳用戶：皇族傳媒
含此文檔只表示此壓縮包來自于DELPHI盒子網站 ------------------------------------------------------------------------- DELPHI盒子 二零零三新版 http://www.2ccc.com http://www.delphibox.com Email:root@2ccc.com DELPHI相關源碼下載，作品發布，個性論壇，支持WEB/FTP文件上傳，會員WEB空間，VIP會員***@2ccc.com郵箱。 2ccc技術論壇 http://bbs.2ccc.com 2ccc個人網絡空間，免費8M永久使用web空間，可以上傳任何文件，上傳進度顯示，送個人留言板，VIP會員可申請100M空間。 http://my.2ccc.com 2003-9-25 第9次改版正式開通，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.
上傳時間： 2015-09-05
上傳用戶：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.
標簽： speech with enhancement corrupted
上傳時間： 2015-09-07
上傳用戶：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.
標簽： speech enhancement corrupted problem
上傳時間： 2013-12-20
上傳用戶：569342831
回溯（b a c k t r a c k i n g）是一種系統地搜索問題解答的方法。為了實現回溯，首先需要為問題定義一個解空間（ solution space），這個空間必須至少包含問題的一個解（可能是最優的）。在迷宮老鼠問題中，我們可以定義一個包含從入口到出口的所有路徑的解空間；在具有n 個對象的0 / 1背包問題中（見1 . 4節和2 . 2節），解空間的一個合理選擇是2n 個長度為n 的0 / 1向量的集合，這個集合表示了將0或1分配給x的所有可能方法。當n= 3時，解空間為{ ( 0 , 0 , 0 )，( 0 , 1 , 0 )，( 0 , 0 , 1 )，( 1 , 0 , 0 )，( 0 , 1 , 1 )，( 1 , 0 , 1 )，( 1 , 1 , 0 )，( 1 , 1 , 1 ) }。
標簽： 搜索
上傳時間： 2014-01-17
上傳用戶：jhksyghr
來自澳大利亞Qeensland大學的計算機視覺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.
標簽： Qeensland functions provides Toolbox
上傳時間： 2015-09-30
上傳用戶：qb1993225
Octane v1.01.20 The Open Compression Toolkit for C++ . The Open Compression Toolkit is a set of modular C++ classes and utilities for implementing and testing compression algorithms. Simple interface and skeleton code for creating new compression algorithms. Complete testing framework for validating and comparing new algorithms. Support for algorithms that use external dictionaries/headers. Utility classes and sample code for bitio, frequency counting, etc.
標簽： Compression Toolkit Open The
上傳時間： 2013-12-31
上傳用戶：dbs012280
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
標簽： technique presented features recovery
上傳時間： 2015-10-14
上傳用戶：410805624
Input The input contains blocks of 2 lines. The first line contains the number of sticks parts after cutting, there are at most 64 sticks. The second line contains the lengths of those parts separated by the space. The last line of the file contains zero. Output The output should contains the smallest possible length of original sticks, one per line. Sample Input 9 5 2 1 5 2 1 5 2 1 4 1 2 3 4 0 Sample Output 6 5
標簽： contains The blocks number
上傳時間： 2015-10-27
上傳用戶：lepoke
Solutions are obtained for Poissson, diffusion, or wave PDEs homogeneous or nonhomogeneous equations and/or boundary conditions rectangular, cylindrical, or spherical coordinates time, Laplace, or frequency domains Dirichlet, Neumann, Robin, singular, periodic, or incoming/outgoing boundary conditions. Output is suitable for pasting into LaTeX documents.
標簽： nonhomogeneous homogeneous Solutions diffusion
上傳時間： 2015-10-30
上傳用戶：JasonC
