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matlab1
matlab课件1
主要讲述
MATLAB的产生及概述
MATLAB的工作环境与组成
MATLAB的数据表示及其基本操作命令
MATLAB的语言结构
MATLAB的简单数值计算中的应用()
- 2007-08-28 18:19:32下载
- 积分:1
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VIP
Binary Subtraction performs binary subtraction for two bit arrays and produces back the result, can be used if you represent your bits/symbols as array elements.
- 2010-08-26 17:53:23下载
- 积分:1
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randswap
Matlab script that randomize rows and/or colums
- 2009-11-27 00:52:25下载
- 积分:1
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fangzhen
matlab仿真模型,可以当作毕业设计内容使用。(matlab simulation model can be used as a graduation project content.)
- 2008-08-03 19:57:38下载
- 积分:1
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hhspectrum
希尔伯特变换的matlab演示程序,可以用来仿真希尔伯特变换,方便广大初学者下载运行(Hilbert transformation of matlab demo application that can be used for simulation Hilbert transformation, convenient the beginners download runs
)
- 2012-04-19 21:46:02下载
- 积分:1
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M
说明: 基于MATLAB编程的图像处理程序——低通滤波模拟编程(MATLAB based image processing program- low-pass filter simulation program a)
- 2010-06-23 08:00:24下载
- 积分:1
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ENGmatlab
ENGINEERING AND SCIENTIFIC CALCULATIONS USING MATLAB
- 2009-04-27 19:56:58下载
- 积分:1
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compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分:1
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OPTIMAL
关于永磁同步电机数学模型的最优控制matlab的m文件(optimal control of PWSM based on MATLAB)
- 2021-04-26 15:28:46下载
- 积分:1
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optical_flow
Phase-based Opic Flow Algorithm, described in
Gautama, T. and Van Hulle, M.M. [2002]. A Phase-based Approach to the
Estimation of the Optical Flow Field Using Spatial Filtering.
IEEE Trans. Neural Networks, 13[5], 1127--1136.
- 2009-02-28 18:25:20下载
- 积分:1