登录
首页 » matlab » zuisutidu

zuisutidu

于 2009-12-08 发布 文件大小:1KB
0 125
下载积分: 1 下载次数: 2

代码说明:

  最速下降法,用于计算机,数值方法的实现,需调试再用,谢谢大家(steepest descent method)

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

  • Ttabbusearchha
    用禁忌搜索算法求解tsp。。。。matlab写之,非常有意义 (Tabu search algorithm for solving tsp. . . . matlab write very meaningful)
    2012-06-11 19:24:54下载
    积分:1
  • 1
    说明:  使用与广大科研工作者参考和借鉴降水的分析方法和使用的分析数据(With the majority of researchers using reference for precipitation analytical methods and analysis of data used)
    2014-11-03 20:04:00下载
    积分:1
  • chepaidingwei
    较简单的车牌定位方法,并用matlab实现,该程序得到我老师的好评!(A simpler method of license plate location and use matlab implementation, the program received high praise from my teacher!)
    2010-07-06 15:53:41下载
    积分:1
  • Kalman_nishibie
    卡尔曼算法用于系统逆辨识,代码通俗易懂易修改,通用性强有收敛曲线(Kalman algorithm for system inverse identification code easy to understand and easy to modify, versatility convergence curve)
    2012-10-19 12:34:25下载
    积分:1
  • jsac
    说明:  用Matlab产生随机拓扑图,优化并显示结果。(Matlab random topology map, optimization and display results.)
    2005-09-03 11:45:07下载
    积分:1
  • l1c-top-down-design
    matlab examples from university of singapore
    2010-09-20 15:21:29下载
    积分:1
  • fangzhen
    实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长,显然都不满足绝对可积和总能量有限的条件。因此,它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t),它的功率谱密度为: 式中, 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均,即 虽然该式给出了平稳随机过程的功率谱密度,但我们通常都不利用这个式子来计算功率谱。我们知道,确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程,也有类似的关系,即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比,等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量,有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)
    2014-11-30 20:39:29下载
    积分:1
  • MVDR_new
    说明:  mvdr处理计算程序,非常好用适合与大家学习与掌握。
    2010-04-15 09:28:37下载
    积分:1
  • neural1
    neural network program with 1
    2014-11-20 11:35:23下载
    积分:1
  • badri
    content based image using texture and color based histogram analaysis
    2013-07-20 17:12:03下载
    积分:1
  • 696518资源总数
  • 104384会员总数
  • 26今日下载