-
BA
说明: 复杂网络中最经典的BA无标度网络模型matlab源程序并且有求解度的程序代码,非常的实用,是研究复杂网络必备的网络模型。(Complex network in the most classic of BA scale-free network model has to solve matlab source and degree of code, very useful, is to examine the complex network required network model.)
- 2020-12-09 17:19:19下载
- 积分:1
-
paper5
Unsupervised Feature Learning for RGB Image Classication
- 2015-03-04 23:22:03下载
- 积分:1
-
spline3
三次样条插值函数的函数值,在matlab中的m文件,输入数据可以直接应用(the function of spline3)
- 2015-08-25 14:09:09下载
- 积分:1
-
matlab程序
说明: 基于线性控制的分数阶统一混沌系统的同步的仿真设计(Synchronization of Fractional Order Unified Chaotic Systems Based on Linear Control)
- 2019-05-09 01:05:44下载
- 积分:1
-
FBG_Gausii_CaoXueMei
高斯FBG曲线的Matlab实现方法,欢迎拍砖,呵呵呵(FBG_gussi_Curves,FBG_gussi_CurvesFBG_gussi_CurvesFBG_gussi_Curves)
- 2010-01-02 11:57:05下载
- 积分:1
-
signalmatlab
有关于MATLAB的在数字信号处理方面的书籍,介绍了MATLAB的基本功能(On the MATLAB signal processing in digital books, introduces the basic functions of MATLAB)
- 2010-07-21 10:46:33下载
- 积分:1
-
Lfybus
Newton Raphson load flow y bus formation
- 2011-12-12 20:09:11下载
- 积分:1
-
采用小波进行图像消噪
数字图像在产生过程中经常会受到噪音污染。因此,对于数字图像应该对其进行去噪音处理。在传统的基于傅里叶变换的信号去噪音方法中,可以使得信号和噪音的频带重叠部分尽可能的小,这样就可以在频域通过时,不需改变滤波方法而将信号和噪音分隔开来。但是,如果信号和噪音的频域重合时,用该方法进行噪音处理的效果就比较差。(digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.)
- 2005-07-12 11:28:35下载
- 积分:1
-
Dynamic-characteristics
结构的动力特性和结构响应~~动力特性分析和时域动力响应分析(Dynamic characteristics and structural response of structures)
- 2014-10-21 11:35:29下载
- 积分:1
-
bcs-master
贝叶斯压缩感知 用于稀疏信号重建,基于贝叶斯理论(Adaptive compressive sensing, Bayesian model selection, compressive sensing (CS), experimental design, relevance vector machine (RVM), sparse Bayesian learning.)
- 2021-01-12 20:58:48下载
- 积分:1