登录
首页 » matlab » M_example

M_example

于 2010-05-27 发布 文件大小:1KB
0 147
下载积分: 1 下载次数: 3

代码说明:

  初学MATLAB的一些实例 希望对大家有用(MATLAB example)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • freqsyncyclicprefix
    frequency synchronization for ofdm
    2009-10-24 18:07:52下载
    积分:1
  • the11part
    matlab算法第11章内容其他部分陆续上传中请稍后(matlab algorithm for the content of other parts of Chapter 11 in succession, please upload later)
    2010-05-25 16:51:02下载
    积分:1
  • Ncut_9
    归一化切割和图像分割算法及其论文,归一化分割不仅度量了不同分组之间总体不相似性,同时度量了分组内的总体相似性(Normalized cuts and image segmentation algorithm and its papers, normalized measure divided not only between the different groups no overall similarity, while the overall measure of similarity within groups)
    2017-01-10 11:22:08下载
    积分:1
  • IsenDSPSoftware
    This file can be used in matlab to implement easy fft. it is very effective and good method to implement easy fft.
    2010-11-10 01:48:41下载
    积分:1
  • mfcosomo
    Function Toolbox hope u like it
    2010-12-03 20:47:52下载
    积分:1
  • fecgm
    独立成份分析(ICA)以及winner滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)
    2010-05-27 23:08:51下载
    积分:1
  • Wine-Type-Identification
    SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification forecast- Wine Type Identification)
    2013-07-11 09:36:33下载
    积分:1
  • main
    不错的粒子群程序,对初学者很有帮助,有完整的注释,通过了测试,可以很好的运行,希望对初学者有帮助。(Good PSO program, useful for beginners, complete notes, passed the test can be a good run, and I hope to help beginners.)
    2013-12-09 16:55:59下载
    积分:1
  • chaper3
    《机器人控制系统设计与matlab仿真》第三章“机器人神经网络自适应控制”源代码(" Robot control system design and the matlab simulation" " robot neural network adaptive control source code)
    2013-04-25 14:17:04下载
    积分:1
  • matlab
    matlab basic on fir,matlab basic on fir
    2011-12-27 14:45:42下载
    积分:1
  • 696518资源总数
  • 104727会员总数
  • 26今日下载