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实用化工计算机模拟:MATLAB在化学工程中的应用 附录光盘程序(Computer Simulation of practical chemical procedures Appendix CD)
- 2009-05-11 09:02:23下载
- 积分:1
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pitch
简洁适用的基音周期提取程序,采用自相关和平均幅度差函数相结合的方法(Simple application of the pitch period extraction procedures, the use of auto-correlation and the average magnitude difference function method of combining)
- 2007-07-12 16:41:41下载
- 积分:1
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ofdm2
illustration on OFDM
- 2010-07-13 02:10:16下载
- 积分:1
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phantom3dhip
matlab codes to generate 3D hip phantom
- 2014-08-29 09:47:59下载
- 积分:1
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three-dimensional-path-planning
基于蚁群算法的三维路径规划。在三维地图上寻找最优路径!(Ant colony algorithm based three-dimensional path planning. To find the optimal path on the three-dimensional map!)
- 2013-12-17 18:01:23下载
- 积分:1
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matlab
使用须知
1. 文件夹
两个文件夹:Mbook和Mfiles。
Mbook文件夹:存放可以用于教学或自学的Mbook形式的文档。
MFiles文件夹:存放所有例题的M文件,保存的文件名为“Ex+章+序号.m”、“Ex+章+序号.fig”、“Ex+章+序号.mdl”或“Ex+章+序号.doc”。
2. 使用前的准备
(1)软件需要安装Office2000 和MATLAB6.5。
(2) 将文件夹Mbook和Mfiles的内容拷贝到用于教学的计算机的硬盘上。
(3)在MATLAB中将“Mfiles”文件夹添加在搜索路径中
添加搜索路径的步骤为:
在MATLAB界面选择菜单“File”→“Set Path”命令,在打开的设置路径对话框中通过“Add Folder…”或“Add with Subfolders…”按钮打开浏览文件夹窗口来添加搜索目录。
(3)要运行8.1小节的MEX和EXE文件,则需要有与MATLAB6.5适配的Borland C/C++或MicroSoft Visual C++或Watcom C/C++(详见11.2和11.3节)。
(4)要运行8.4小节Mbook文件夹的文件,则需要安装Notebook。
(err)
- 2008-04-14 13:31:18下载
- 积分:1
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ask
自己编程产生一种二进制调制信号,为数字调制信号的识别做准备。(Their programming to produce a binary modulation signal, the recognition of digital modulation signals in preparation.)
- 2010-05-11 12:23:08下载
- 积分:1
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《MATLAB基础及经济管理建模》张晓黎 著
说明: 《MATLAB基础及经济管理建模》张晓黎 著(Matlab foundation and economic management modeling by Zhang Xiaoli)
- 2021-03-03 13:06:37下载
- 积分:1
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t_tide_v1.2beta
说明: 用Matlab编写的一款计算调和常数的程序包,附有数据,非常适合想要用matlab计算调和常数的爱好者(Using Matlab prepared a calculation of harmonic constants package, accompanied by data, very suitable for the calculation you want to use matlab to reconcile the constant lovers)
- 2008-09-04 23:59:44下载
- 积分:1
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Hidden_Markov_model_for_automatic_speech_recogniti
Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
- 2007-10-26 19:01:21下载
- 积分:1