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Signal_Processing
With this document, is intended to show some manipulation of signal processing techniques regarding continue and discrete signals, odd and even components, and periodic discreet signal, showing the mathematical part and the source code in Matlab on which it’s possible to try it out.
- 2009-10-14 17:55:24下载
- 积分:1
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PIDjidian
说明: 采用继电法对PID参数进行整定,实现PID参数的获得(Method using relay tuning PID parameters, PID parameters to achieve access to)
- 2010-04-19 21:33:45下载
- 积分:1
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tx_modulate
modulation of transmitted signal
- 2013-07-26 01:41:47下载
- 积分:1
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kmeans
matlab源码关于模糊K均值聚类算法,适合大家下载研究学习(matlab source code on the fuzzy K-means clustering algorithm, suitable for everyone to download research study)
- 2013-11-07 22:52:42下载
- 积分:1
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数学建模算法与应用
数学建模算法及应用电子书PDf版本,数学建模入门必备(Mathematical Modeling Algorithms and Application of PDf Edition of Electronic Books)
- 2019-04-30 16:25:41下载
- 积分:1
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EQ_SrcCode
用MATLAB实现的简单的EQ功能,根据系数的调整,可以得到8种不同的音效(A simple EQ function implemented by MATLAB . You can get 8 different sound effects according to the adjustment factor )
- 2009-11-04 16:13:02下载
- 积分:1
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Robot-program
说明: 《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法,是作者多年来从事机器人控制系统教学和科研工作的结晶,同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象,共分10章,包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。(" Robot Control System Design and MATLAB simulation," a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning.)
- 2011-04-06 15:07:28下载
- 积分:1
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gs
说明: Load flow Gauss siedel method
- 2011-01-21 19:49:36下载
- 积分:1
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inpainting
For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).
- 2013-12-11 17:30:22下载
- 积分:1
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zhennimamafancao
RLS和LMS消噪对比,供初学者来学习。。。。。。。。。(RLS and LMS eliminate the noise contrast)
- 2012-11-28 23:42:08下载
- 积分:1