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direct2
实现 直接2型滤波器的设计 以及 仿真 功能(direct two-filter design and simulation function)
- 2007-06-30 10:05:56下载
- 积分：1
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2MMSE_overlap_128pt---64equalization
60GHZ高速无线通信系统仿真，采用分数域频域均衡，GOLAY作为导频，先到为802.16ad.(60GHZ high-speed wireless communication system simulation, using fractional frequency domain equalization, GOLAY as a pilot, first as 802.16ad.)
- 2014-09-21 15:44:07下载
- 积分：1
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wlan_11n_simulink
802.11n WLAN PHY
Simulation models of 802.11n (modified from 11a PHY model):
wlan/IEEE80211n.mdl(802.11n WLAN PHYSimulation models of 802.11n (modified from 11a PHY model): wlan/IEEE80211n.mdl)
- 2008-12-23 14:38:04下载
- 积分：1
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HFSS
HFSS仿真 天线仿真实例 一些重要的例子(HFSS fangzhenshili tianxian)
- 2011-01-05 13:24:12下载
- 积分：1
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Naive-Bayes
一个学习Naive Bayes的matlab代码，学习到的参数只与样本的个数有关，与实际的样本值没有直接关系。
为了代码的可读性、容易学些，算法的实现没有采用MATLAB向量化
操作。(A Naive Bayes learning matlab code, only to learn the parameters related to the number of samples, and the actual sample values are not directly related. For code readability, easy to learn something, no algorithm using MATLAB vectorized operations.)
- 2013-08-19 17:25:06下载
- 积分：1
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quantization_error_Matlab_file
Simulink Model that quantization error with input and output signal and output spectrum
- 2013-04-02 13:06:03下载
- 积分：1
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mLMNN2.3
多核处理多特征的融合（matlab实现——提供测试数据）(Multicore processing multi-feature fusion (matlab achieve- to provide test data))
- 2013-11-30 17:48:16下载
- 积分：1
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matlab
说明： 单天线联合检测算法的matlab仿真源程序——场景：基站和1用户单天线，TD下行(Single-antenna co-detection algorithm of matlab simulation source code- the scene: the base station and a user single-antenna, TD downlink)
- 2010-04-02 12:13:35下载
- 积分：1
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MATLAB
说明： matlab经典教程，很全面，非常适合初学者。(matlab classic tutorial, very comprehensive, very suitable for beginners.)
- 2010-04-06 11:52:53下载
- 积分：1
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genetic-algorithm
In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.
- 2013-07-16 14:40:19下载
- 积分：1
