登录
首页 » Others » wpplication

wpplication

于 2017-12-10 发布 文件大小:22KB
0 304
下载积分: 1 下载次数: 9

代码说明:

  这是在MATLAB上的SIMULINK中实现的雷达系统仿真实例,用户可以自己设定目标距离,方向等参数,()

文件列表:

radar_init.m, 238, 2002-06-06
satellite.jpg, 6161, 2002-06-06
switch_off.jpg, 2474, 2002-02-19
switch_on.jpg, 2413, 2002-02-19
ufo.jpg, 961, 2002-03-25
zradar.mdl, 63178, 2002-11-07

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • project
    数据挖掘,推荐系统,堆叠降噪自编码器,逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
    2021-01-25 23:58:43下载
    积分:1
  • pvdvk48
    Matrix QR decomposition of digital analysis of the more difficult procedures, it is worth a look
    2018-09-05 18:32:16下载
    积分:1
  • Python预处理
    Python数据预处理示例,包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
    2020-09-17 14:07:54下载
    积分:1
  • mlno
    一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()
    2018-02-04 15:22:16下载
    积分:1
  • svm
    运用支持向量机对一组超宽带非视距信号识别(Support Vector Machine Signal Identification)
    2017-03-15 09:54:33下载
    积分:1
  • 1595175
    动画演示多种排序算法,包括冒泡排序,选择排序,插入排序,快速排序等,()
    2018-03-13 23:48:48下载
    积分:1
  • chapter3
    周志华 机器学习 第三章 python 参考答案(Zhou Zhihua machine learning third chapter Python reference answer)
    2018-06-07 21:59:46下载
    积分:1
  • 高效用项集算法--HUIMINER算法
    数据挖掘算法,高效用项集挖掘算法,加权频繁项集挖掘,HUIMINER算法,源码中有详细注释
    2023-02-10 05:45:03下载
    积分:1
  • Python for Data Analysis
    利用python进行数据分析,英文书籍,从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑;利用matpIotlib创建散点图以及静态或交互式的可视化结果;利用pandas的groupby功能对数据集进行切片、切块和汇总操作;处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)
    2020-06-16 03:20:01下载
    积分:1
  • EM 算法
    用EM算法求解高斯混合模型并可视化,数据是男女生的身高分布,前提是初始化男女生身高各自的均值和方差和比例,然后由EM算法求解,男女生身高的均值方差,以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)
    2018-07-14 12:46:57下载
    积分:1
  • 696516资源总数
  • 106405会员总数
  • 10今日下载