登录
首页 » PDF » paper2

paper2

于 2013-12-02 发布 文件大小:275KB
0 196
下载积分: 1 下载次数: 9

代码说明:

  平方根升余弦滚降数字滤波器的设计与实现.pdf(Design and implementation of square-root raised cosine roll off digital filter)

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

  • f11
    detection of ROI on a binary image....
    2010-11-25 08:05:31下载
    积分:1
  • all kind of pn coded generator
    包含了m序列 gold序列 kasami序列和ovsf码的所有伪码产生器(Contains a sequence of m sequences gold Kasami sequences and OVSF code of all pseudo-code generator)
    2008-07-25 11:42:54下载
    积分:1
  • palavras
    Code to find a word that fit to mask.
    2015-01-12 06:32:13下载
    积分:1
  • nengliang
    关于图像处理中的区域能量是matlab算法,此算法简单易行(Regional energy for image processing matlab algorithm, this algorithm is simple)
    2013-01-10 19:49:20下载
    积分:1
  • my_cgs
    共轭梯度平方法的matlab代码,可用于解线性方程组(cgs method is used to solve linear functions)
    2011-11-07 15:13:48下载
    积分:1
  • nr2
    This is the Newton Raphson program for power system
    2015-02-24 16:16:22下载
    积分:1
  • matlab-difference-in-fplot-and-Plot
    matlab中fplot与Plot的区别,希望对大家有所帮助。(matlab difference in fplot and Plot, we want to help.)
    2011-01-20 10:40:43下载
    积分:1
  • communication-system
    说明:  介绍了通信系统中各种功能仿真的一些源代码和案例(Describes the simulation of communication systems in the various functions of some source code and case)
    2011-03-12 18:24:01下载
    积分:1
  • Essential-MATLAB-for-Engineers-and-Scientists[jeh
    Essentials of Matlab for engineers book
    2014-08-24 03:07:28下载
    积分:1
  • SRGTSToolbox
    说明:  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能: 实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。 代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。 错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。 基于代理的优化:高效的全局优化(EGO)算法。 其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)
    2020-04-20 22:30:13下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载