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Kmeans
clustering algorithm
- 2011-10-30 19:21:43下载
- 积分：1
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7.Delphi---Radar---Final
利用matlab设计、分析并完善雷达传感器布置算法(Design, Analyze, and Implement Radar Sensors Alignment Algorithm with MATLAB )
- 2015-02-04 21:30:10下载
- 积分：1
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code
meanshift算法在matlab中聚类三维点集(meanshift clustering algorithm in three-dimensional point set in matlab)
- 2011-05-04 20:15:40下载
- 积分：1
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m_uav
m文件形式的无人机仿真模型，做到状态仿真阶段，后续可根据情况进行纵向和横向的设计(In the form of m file, an UAV simulation model,the state simulation stage have done, following it can be used to design the vertical and horizontal situation)
- 2020-07-03 13:40:02下载
- 积分：1
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chirp_processing
说明： 实现chirp信号的生成，采样，脉冲压缩，一共三个文件(Realize the generation of chirp signal, sampling, pulse compression, a total of three files)
- 2020-05-13 02:28:11下载
- 积分：1
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liblinear-1.51.tar
The library of linear classifier
- 2010-05-30 05:18:46下载
- 积分：1
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DBSCAN算法Matlab实现
说明： 基于密度的聚类算法
它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类(Density based clustering algorithm
It defines the cluster as the largest set of density connected points, and can divide the region with enough high density into clusters, and can find clusters of arbitrary shape in the spatial database of noise)
- 2020-07-05 11:39:56下载
- 积分：1
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detecting_target
对雷达帧扫秒到的运动目标进行跟踪，并在MATLAB中进行仿真和验证(Frame on the radar sweep seconds to track moving objects, and carried out in the MATLAB simulation and verification)
- 2010-05-08 19:19:08下载
- 积分：1
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sys
本实验隶属现代数字信号处理，涉及到谱估计和谱分解，对学习数字信号的现代处理方法帮组很大。系统辨识实验实现：输入为功率为1（方差为1）的白噪声信号，通过一个线性移不变（LSI）系统，采用功率谱分析方法实现系统辨识对一个LSI系统进行辨识,并比较最后辨识出的系统与原系统的差别，分别显示出来。
(Experimental realization of system identification: input power of 1 (variance 1) of the white noise signal through a linear shift invariant (LSI) system, using power spectral analysis method of system identification of an LSI system identification, and compare the final system and identify the difference between the original system, respectively, is displayed.)
- 2011-12-13 22:04:50下载
- 积分：1
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createFeatureHorisontal
create feature untuk feature horisontal
- 2010-09-01 15:17:07下载
- 积分：1
