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Steepest.Descent.Method.matlab

于 2008-05-24 发布 文件大小:1KB
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  matlab经典算法的程序 最速下降梯度法matlab程序(classical algorithm matlab procedure steepest descent gradient method matlab program)

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  • mud
    注意:刚上传的不完整,以这个为准 (在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较)(In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)
    2020-11-16 19:09:40下载
    积分:1
  • fangxiang
    该程序可实现图像四方向频谱划分,通过该程序,衣服图像四方向的信息会很好的展现出来。(This program can be divided into the spectrum of image four directions, through the program, four-direction image information clothes would show up well.)
    2010-12-21 17:06:56下载
    积分:1
  • jacobi
    matlab 矩阵计算 求逆中的jacobi迭代法 还是比较有效的(matlab inverse matrix calculation of jacobi iteration method is more effective)
    2011-09-16 09:23:54下载
    积分:1
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    本文是基于MATLAB的具有时延和丢包的网络控制系统的补偿控制分析研究(Predictive Control of Network Control System w ith Network Delay and Data PacketDropout)
    2011-12-16 11:41:29下载
    积分:1
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    2007-05-22 21:53:51下载
    积分:1
  • thesis
    关于粒子群优化的好文章,文章的PSO说话的很详细,希望能给新手一些帮助。(About Particle Swarm Optimization a good article, the article PSO speak in great detail, I hope to give beginners some help.)
    2014-08-07 22:01:23下载
    积分:1
  • InvertedPendulumControled_State_Space_sfun
    Inverted Pendulum Controled_state_sfun
    2014-08-11 16:32:48下载
    积分:1
  • label_gui3
    Image Region Labeling Software
    2010-06-13 23:01:30下载
    积分:1
  • window-digital-filter
    窗函数法数字滤波器设计,包括基本的六种窗函数,内有一份word实验报告,适合信号分析初学者学习(Window function digital filter design, including the six basic window function, which has a word test report, suitable for beginners to learn signal analysis)
    2013-07-14 12:13:28下载
    积分:1
  • LMS
    LMS算法的MATLAB实现函数, 输入参数: xn 输入的信号序列 (列向量) dn 所期望的响应序列 (列向量) M 滤波器的阶数 (标量) mu 收敛因子(步长) (标量) 要求大于0,小于xn的相关矩阵最大特征值的倒数 itr 迭代次数 (标量)(LMS algorithm MATLAB realization function)
    2014-08-30 23:34:40下载
    积分:1
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