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Untitled
使用粒子滤波的matlab的实现，可以跟踪目标(Particle filter )
- 2010-09-28 15:37:10下载
- 积分：1
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testing_fcn_block
Function BLock is use to define the mathematical model
- 2011-02-10 22:03:37下载
- 积分：1
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MATLAB
matlab工具，适合初学者使用~~~~~~~~~~~~~~~~~~~~~~(no)
- 2010-05-22 01:42:23下载
- 积分：1
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yuanchengxu
一个双原子分子的势能函数为
Ep=E0[(r0
)12-2(r0/r)6]
式中，ｒ为两原子间的距离。ａ.绘制势能曲线。b.由图说明r0是势能最小的分子间距。c.由图说明E0是分子势能的最小值。
(A diatomic molecule potential energy function for the Ep = E0 [(r0 r) 12-2 (r0/r) 6] where, r is the distance between two atoms. a. draw the potential energy curve. b. r0 is the potential energy by the figure shows the minimum distance between the molecules. c. Figure shows the molecular potential energy E0 is the minimum.)
- 2011-10-20 18:10:52下载
- 积分：1
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reglement_concours_Tss2015
reglement_concours_Tss2015 -
- 2015-01-23 01:09:00下载
- 积分：1
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ML_and_MAP
最大似然和最大后验概率算法描述，比较性能，仿真分析(Maximum likelihood and maximum a posteriori probability algorithm description, comparative performance, simulation analysis)
- 2021-01-28 17:28:39下载
- 积分：1
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IMMbasic
交互多模型算法基本框架，用于机动目标跟踪的程序源码(kalman filter and the basic procedural framework for the uniform straight line tracking)
- 2010-08-01 10:45:31下载
- 积分：1
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FDTD_3_1
Sullivan关于FTDT经典文章的MATLAB翻译，例子的源程序。(Sullivan classic article on the FTDT translation of MATLAB, examples of the source.)
- 2010-01-08 22:31:14下载
- 积分：1
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QC_codes
说明： 类循环LDPC的生成
北京交通大学
编码技术
matlab
(QC_LDPC
bjtu)
- 2010-04-25 07:14:53下载
- 积分：1
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levinson
图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
2）横向/格-梯型结构RLS算法
并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response:
Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate):
1) landscape/grid- LMS algorithm ladder structure
2) landscape/grid- RLS algorithm ladder structure
And analyze the results.)
- 2020-07-02 22:40:01下载
- 积分：1
