-
fs1
describes Fourier Series representation of square wave signal.
- 2010-02-24 15:32:22下载
- 积分：1
-
matlab_digital-image-process
冈萨雷斯数字图像处理的所有matlab源码，非常全的一个，供大家对着课本学习使用。强烈推荐给大家。那本书也写的非常不错。(Gonzalez digital image processing matlab source code for all, a very wide one, for everyone to learn to use against the textbook. Strongly recommend to everyone. That book also write very good.)
- 2013-09-21 15:27:12下载
- 积分：1
-
CLUSTER-FORMATION
CLUSTER FORMATION FOR ENERGY EFFICIENT PROTOCOL BASED ON HIERARCHICAL ROUTING
- 2015-03-15 17:05:30下载
- 积分：1
-
FNNMATLAB
说明： 一个模糊神经网络解耦的MATLAB程序，希望对大家有帮助(A fuzzy neural network decoupling of the MATLAB program, we want to help)
- 2010-04-03 16:52:58下载
- 积分：1
-
IHDRmatlab
一种快速的多叉搜索树，主要用于智能发育机器人方面进行路径规划(A Fast Multi-search tree, mainly for aspects of mental development robot path planning)
- 2008-01-21 16:27:52下载
- 积分：1
-
04
说明： matlab基础教学系列5，一步步教学代码(the door to matlab)
- 2012-04-23 20:35:58下载
- 积分：1
-
shanon2
this code receive a string from input and calculation shanon code
- 2012-05-19 01:45:12下载
- 积分：1
-
a
说明： 连续波信号调频的雷达处理,利用MATLAB/Simulink进行编程和仿真(FM continuous wave radar signal processing using MATLAB/Simulink programming and simulation)
- 2014-05-20 16:33:15下载
- 积分：1
-
energydetection
认知无线电中能量检测matlab源码，体是仿真误警概率下，不同信噪比下的检测概率的。(energy detection)
- 2009-10-28 19:08:25下载
- 积分：1
-
EMD-Toolbox
EMD的Toolbox及使用方法
经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。
(Time frequency toolbox for use with MATLAB
The Time-Frequency Toolbox has been mainly developed under the auspices
of the French CNRS (Centre National de la Recherche Scientifique). It
results from a research effort conducted within its Groupements de Recherche
”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et
Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at
Rice University, when one of the authors (PG) was visiting the Department
of Electrical and Computer Engineering, supported by NSF. Supporting institutions
are gratefully acknowledged, as well as M. Guglielmi, M. Najim,
R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin,
O. Michel and P. Abry for their help at different phases of the development.)
- 2010-11-08 16:19:14下载
- 积分：1
