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imagedeconv2
图像的二维反卷积，其中包括butterworth的低通滤波等多项功能(This used the same script as for butterworth2.m example。 Low Pass Filter to create a blurred image. Simply do deconvoution of butterworth low ass(divide rather multiply)
to invert the result
Note in practice the ideal forward blurring function will not be known
SO results will not be so perfect.)
- 2021-04-19 20:58:51下载
- 积分：1
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yuandaima
通信系统仿真原理与无线应用源代码，通信原理(Communication System Simulation Principle and wireless application source code, communication theory)
- 2013-04-20 21:44:38下载
- 积分：1
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G_s
给出了用迭代法解线性方程组的方法，迭代法是数值分析中一个重要解线性方程组的方法(Proposed by solving linear equations iteration method, the method of numerical analysis of iterative method is an important method of solving linear equations
)
- 2011-09-20 16:51:14下载
- 积分：1
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mATLAABfiles
MACHINE SIMULINK WITH MATLAB
- 2012-04-15 07:26:17下载
- 积分：1
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dsp-exercise
any kind of dsp method in matlab
- 2011-07-20 04:14:19下载
- 积分：1
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julei
使用聚类分析法对数据进行处理，对初学者学习matlab中数据分类有很好的作用(Using cluster analysis method for data processing, data matlab for beginners to learn the classification have a good effect)
- 2015-04-13 09:02:25下载
- 积分：1
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KNN-and-SVM
模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm(pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm)
- 2015-05-10 07:12:49下载
- 积分：1
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DCmotor
基于Matlab的直流电动机的起动、控制、调速仿真(DCmotor matlab simulink)
- 2010-05-21 22:14:52下载
- 积分：1
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cumcm2014problems
大学生数学建模的书籍以及训练习题，和答案，应该对参赛的选手有一定的帮助。(Mathematical modeling of books and training exercises, and answers for participating players should have some help.)
- 2015-04-11 21:15:13下载
- 积分：1
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MATLABfangzhen
《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦
本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。
(" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)
- 2013-06-04 14:28:55下载
- 积分：1
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