-
lfm及其模糊函数
实现了lfm信号的仿真,可以对其频谱和时域波形进行分析,并且仿真了其模糊函数,可以分析其雷达性能。(The simulation of LFM signal is realized, and its spectrum and time domain waveform can be analyzed, and its ambiguity function can be simulated to analyze its radar performance.)
- 2020-12-17 08:59:11下载
- 积分:1
-
spotlight_SAR
说明: 这是一本书里的源程序,简历了spotlight方式的SAR模型,包含了回波和SAR图像的生成,希望对大家有帮助(This is a source book, curriculum vitae of the spotlight mode of SAR models, includes Echo and the SAR image formation, in the hope that we have to help)
- 2021-05-07 01:58:36下载
- 积分:1
-
MM1
random and queuing theory(mm1)
- 2015-08-26 18:15:24下载
- 积分:1
-
n-q-phi
对局部放电信号的处理的程序,放电次数,相位,放电量的3维谱图。(Of partial discharge signal processing procedures, discharge frequency, phase, the discharge amount of 3-D spectrum.)
- 2021-03-02 19:49:33下载
- 积分:1
-
cc3
说明: 现代通信系统3,用于matlab教学,好东东哦:)(three modern communications system for teaching Matlab, Wanton Oh good :))
- 2006-02-28 21:28:22下载
- 积分:1
-
LEACH分簇算法实现和能量控制算法实现
说明: 基础的leach协议程序,matlab用(leach)
- 2021-04-25 15:58:46下载
- 积分:1
-
MAPBCJR
Hi..Modified BCJR and MAP alogorithm implementaion
- 2010-02-23 18:38:46下载
- 积分:1
-
systemrifferenttime
仿真锁相环系统,可以仿真锁定时间,不同的环路带宽对系统的非理想特性!(Phase-locked loop simulation system, simulation can lock time, different loop bandwidth non-ideal characteristics of the system.)
- 2017-05-13 05:34:48下载
- 积分:1
-
mfile1
图像融合,主要是利用高通滤波方法,ihs变换方法,主成分分析方法,小波方法以及小波+IHS方法。(Image fusion, mainly using high-pass filtering method, ihs transformation method, principal component analysis method, wavelet method and the wavelet+ IHS method.)
- 2008-04-25 15:18:07下载
- 积分:1
-
第一次作业_基于分类算法的雷达状态识别
第一次作业_基于分类算法的雷达状态识别
对于本数据集中的雷达状态识别,数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响;数据降维后使用神经网络算法最优,支持向量机算法其次,朴素贝叶斯算法较差。此外,训练样本越多,分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)
- 2019-04-03 08:54:04下载
- 积分:1