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于 2009-02-06 发布 文件大小:8KB
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代码说明:

  matlab几则设计经验,非常好用,word 文件(a few design experience for matlab, very easy to use)

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Matlab的几则程序设计经验.doc

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    2011-03-11 09:34:27下载
    积分:1
  • ZigZagmatlab
    用MATLAB实现MPEG中的 ZIG-ZAG 扫描,矩阵查表实现,函数形式,很有用。(MPEG with a MATLAB implementation of the ZIG-ZAG scan matrix look-up table implementation, functional form, is useful.)
    2010-05-12 21:53:12下载
    积分:1
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    MARLAB版本 贪食蛇。简单贪食蛇以matlab实现。MARLAB版本 贪食蛇。简单贪食蛇以matlab实现。MARLAB版本 贪食蛇。简单贪食蛇以matlab实现。(MARLAB version of Snake. Simple Snake matlab achieve. MARLAB version of Snake. Simple Snake matlab achieve. MARLAB version of Snake. Simple Snake matlab achieve.)
    2013-04-16 01:41:02下载
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    盲信号语音分离的程序,基于独立分量的分离程序,若输入两个源信号,则可以输出一组混合信号和分离后的信号(Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation)
    2012-05-05 10:56:11下载
    积分:1
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    现代通信系统(第二版)(MATLAB版)实例代码(communication with matlab)
    2011-12-01 15:40:13下载
    积分:1
  • PrgmUpd
    dear sir i have uploaded a few programs for your consideration
    2011-06-09 14:34:20下载
    积分:1
  • 1996-Nonlinear_Systems
    本书为经典的非线性系统书籍,1996年出版。(This book is a classic nonlinear system books, published in 1996.)
    2013-04-08 21:17:02下载
    积分:1
  • 新建文件夹
    该程序可以实现对于信号的时域参数提取以及信号的包络分析(The program can realize time domain parameter extraction of signals and envelope analysis of signals)
    2019-01-23 17:10:01下载
    积分:1
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    实现多种滤波的M函数,比如算数均值滤波、几何均值滤波、谐波均值滤波、逆谐波均值滤波等(M to achieve a variety of filtering functions, such as the arithmetic mean filter, geometric mean filter, harmonic filtering, inverse filtering, harmonic mean)
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    移动机器人自主避障系统的设计方法多种多样,其中基于模糊控制的机器人避障系统主要是利用模糊逻辑控制器对机器人周围环境信息进行分析和判断,并规划出一条到达目标点的无碰撞路径。该方法有着占用资源小,反应迅速,并能应对相对复杂的外部环境。本文主要以基于模糊控制原理对移动机器人避障路径规划所作的相关研究为主要内容。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.)
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