登录
首页 » matlab » FM

FM

于 2010-12-06 发布 文件大小:236KB
0 112
下载积分: 1 下载次数: 4

代码说明:

说明:  FM调制解调系统设计与仿真,内含详尽的说明(FM modulation and demodulation system design and simulation, containing a detailed description of)

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

  • merginginformation
    使用基于知识的方法把多种复杂的信息进行融合,利用web语义技术,数据融合系统等多种方法进行信息融合(The use of knowledge-based approach to a variety of complex information integration, the use of semantic web technology, data fusion system, a variety of methods of information fusion)
    2010-03-09 16:14:43下载
    积分:1
  • hidelsb
    基于图片的信息的隐藏与伪装,可以修改里面的参数使得其更好(Image-based information hiding and camouflage, you can change the parameters makes it better)
    2011-04-23 21:38:01下载
    积分:1
  • digital_modanddemod
    Various routines that simulate or compute aspects of digital communication systems
    2006-11-30 12:47:40下载
    积分:1
  • Programa
    calculation of power injected to power flow
    2014-11-20 20:18:40下载
    积分:1
  • Spectrumtheoryapplication
    凯依的现代谱估计原理与应用.在本书中介绍了近代谱估计的基本理论和方法。(Kay Modern Spectral Estimation Theory and Application of. In this book introduce the modern spectral estimation of the basic theory and methods.)
    2008-02-21 06:36:11下载
    积分:1
  • MATLAB
    MATLAB通信仿真与应用,许多出于工程实践的例子,既有基础知识又有许多实际分析和程序(MATLAB simulation and application of communication, many examples of engineering practice for both basic knowledge and analysis of many practical and procedural)
    2009-04-08 20:13:42下载
    积分:1
  • ac_wilson
    wilson活度系数模型,化工领域,主要应用是求取液相活度系数,但仅仅能用于LLE计算。(wilson activity model)
    2010-09-27 22:50:14下载
    积分:1
  • buttap_o
    对数字信号处理的函数,包括FFT和巴特沃斯滤波函数。(function for digital signal processing using Matlab)
    2013-11-06 23:58:53下载
    积分:1
  • Matlab
    This is very useful book for engineer and scientist, is signal processing area.
    2009-05-12 22:03:33下载
    积分:1
  • Conjugate-gradient
    共轭梯度法是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)
    2011-05-06 16:20:24下载
    积分:1
  • 696518资源总数
  • 104591会员总数
  • 57今日下载