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matlab/simulink 三种方法

于 2016-10-19 发布文件大小:49KB

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matlab/simulink 三种方法：追踪法、比例导引法、平行接近法的弹道仿真(matlab/simulink tracing method, proportional navigation law, parallel close to the law)

文件列表：

parallel_approach.slx,16000,2014-10-18
para_for_pa.m,650,2016-10-19
para_for_pn.m,670,2016-10-19
para_for_vc.m,792,2016-10-19
proportional_navigation.slx,17672,2014-10-19
v_chase.slx,15898,2014-10-19

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arraysignal
阵列信号处理的几个程序，是自己找的，可以看看(array signal processing)

2009-03-07 10:32:07下载

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bpsk
说明： bpsk仿真中间有两个方面的内容，很好的仿真软件(There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. )

2011-03-11 15:26:22下载

积分：1
pso_2D
说明： PSO_2D是一个二维的PSO算法实现。自己做得project(PSO_2D is a two-dimensional realization of the PSO algorithm. Doing their own project)

2008-12-05 05:03:02下载

积分：1
matlab
用matlab进行图象的过滤处理，其中包括噪声中值均平自适应的过滤(For image filtering using matlab)

2011-05-16 10:01:17下载

积分：1
wideband
The paper discusses the design and development of a microwave radio transceiver at 1.4 GHz, which implements multirate signal processing algorithms

2013-02-10 23:47:33下载

积分：1
line
应用于wsn质心定位法，其中未知节点是一个线性移动的点阵。(Wsn used centroid location method, in which the unknown node is a linear movement of the lattice.)

2013-05-24 08:25:22下载

积分：1
denoise1
用于图像去噪实验界面，包括小波去噪，中值滤波等，程序有MATLAB的gui界面，调试成功。(image denosing experiments, a good matlab interface .)

2009-05-12 17:36:21下载

积分：1
Parametric-EQ
可以在图上拖动的均衡器,但没有播放功能.可以自行添加。(a equalizer controlable by dragging on the map, without play function)

2014-12-15 17:59:05下载

积分：1
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2021-04-02 11:32:34下载

积分：1
KNN
K最邻近密度估计技术是一种分类方法，不是聚类方法。不是最优方法，实践中比较流行。通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

2020-10-23 14:37:22下载

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matlab/simulink 三种方法

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