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digital-communication
说明： 国外数字通信基础教材，Fundamentals of Digital Communication 英文版，作者Madhow, Upamanyu(Fundamentals of Digital Communication. Author: Madhow, Upamanyu)
- 2011-04-07 04:29:25下载
- 积分：1
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EKF
基于系统目标轨迹的EKF仿真,其中包含数据分析函数、EFK函数、距离判断功能块函数、状态仿真功能块函数、以及基于EKF的系统目标轨迹仿真的simulink。(Including data analysis function, EKF function,distance judgement function, state simulation function , and system based on EKF target trajectory simulation of the simulink)
- 2015-11-20 10:23:03下载
- 积分：1
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windfarm_windspeed
说明： 受尾流效应影响，风电场中不同风机风速不同。本程序可以模拟风场尾流效应，方便扩展。(Affected by the wake effect, different wind turbines in a wind farm have different wind speeds. This program can simulate the wake effect of the wind field, which is convenient for expansion.)
- 2020-11-11 22:04:36下载
- 积分：1
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matlab_and_Cyuan_chengxu
SVM的一个工具包，可用于图像处理和高光谱图像处理！matlab版本编写，(SVM' s a kit for image processing and hyperspectral image processing! matlab version prepared)
- 2010-10-15 12:52:59下载
- 积分：1
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my-face-detection
Detect face parts in real time using Matlab.
- 2013-05-05 06:09:54下载
- 积分：1
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USRP 平台窄带频谱监测
资源描述该程序是在USRP N210平台下实现的，应用软件为MATLAB，必须连接USRP N 210 才能运行，带宽可以调整，可以对接受信号加窗处理。
- 2022-05-29 08:05:55下载
- 积分：1
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Predicat_with_RBFNN
Predication with RBF neural network BY hossein dehghan
- 2009-12-21 23:08:06下载
- 积分：1
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gpec
说明： 针对排列熵算法做出的改进，广义相位排列熵，通过调整参数，有效提升了排列熵算法的性能。(Aiming at the improvement of permutation entropy algorithm, generalized phase permutation entropy improves the performance of permutation entropy algorithm by adjusting parameters)
- 2021-03-08 11:39:28下载
- 积分：1
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lvboqi
对图像进行模糊处理前的第一步设计操作，然后进行加强滤波处理(Fuzzy image processing operation prior to the first step in the design and then proceed to strengthen the filter processing)
- 2008-12-29 15:10:12下载
- 积分：1
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SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分：1
