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Systemsdata
this is about the system data that is used by matlab
- 2010-08-25 18:27:04下载
- 积分：1
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LKequation
基于matlab实现半导体激光器LK速率方程(Based on matlab realize a semiconductor laser rate equations LK)
- 2016-09-30 11:47:22下载
- 积分：1
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TD-SCDMA
说明： TD-SCDMA标准初稿（word版）和TD-SCDMA标准的MATLAB仿真程序(TD-SCDMA standard first draft (word version) and TD-SCDMA standard MATLAB simulation program)
- 2008-09-24 19:40:44下载
- 积分：1
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Amssbmodulation
am and ssb modulation in matlab codes
- 2012-07-21 17:26:05下载
- 积分：1
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neural5
neural network programming with a simple example
- 2014-11-20 11:39:16下载
- 积分：1
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Image_over_CDMA
transmission of image with dssss in AWGN channel
- 2013-12-09 07:33:46下载
- 积分：1
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DIRECT
一种全局的直接优化方法，优化过程中无需用到目标函数的导数信息。(The purpose of this brief user guide is to introduce the reader to the DIRECT optimization algorithm, describe the type of problems it solves, how to use the accompanying MATLAB program, direct.m, and provide a synopis of how it searches for the global minium.)
- 2015-02-26 17:21:11下载
- 积分：1
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tftb-0.2
时频分析工具箱，需要加载路径到matlab里，里面包含了时频分析所用到的大部分函数(Time frequency analysis toolbox, need to load the path to the MATLAB, which contains the time-frequency analysis used by most of the functions)
- 2012-11-27 23:26:46下载
- 积分：1
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NetCreate
现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)
- 2008-04-19 09:20:34下载
- 积分：1
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Fuzzy-Edge-Detection-(1)
Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.
- 2013-03-11 17:03:00下载
- 积分：1
