-
Kalman_matlab_example
卡尔曼滤波程序,并附有具体的实例,对初学者希望有用(Kalman filtering process, together with specific examples, hope helpful for beginners)
- 2010-05-06 12:54:20下载
- 积分:1
-
DOAtwodimesion
二维DOA估计,文件不是很长,还是比较好用的,希望能对大家有所帮助(use for two-dimension DOA estimate.)
- 2010-05-10 20:59:07下载
- 积分:1
-
deltaE2000
matlab zip format line
- 2011-05-25 14:00:59下载
- 积分:1
-
five_average
matlab程序 五点滑动平均方法 很好很强大(matlab program five-point moving average method)
- 2013-02-20 15:34:40下载
- 积分:1
-
BGP-dos
A dos attack demo on network layers BGP protocol
- 2014-01-04 15:25:18下载
- 积分:1
-
14自由度汽车模型以及论文
汽车14自由度仿真simulink文件,包括车身6个自由度,悬架4自由度,车轮4自由度。模型跑得通,且和carsim中同种工况下的运行结果相同,精度较高。
除此之外还有模型搭建的对应论文可供参考学习(Vehicle 14 DOF simulation Simulink file, including 6 DOF of body, 4 DOF of suspension and 4 DOF of wheel. The model runs well and has the same result as that of Carsim under the same working condition, with high accuracy.
In addition, there are corresponding papers on model building for reference.)
- 2020-12-13 13:09:15下载
- 积分:1
-
GA1
优化遗传算法系列中的第一种优化遗传算法,只需要该参数即可。(Genetic Algorithm Optimization of the first in a series of genetic algorithm to optimize only the parameters need to be.)
- 2009-06-13 13:31:08下载
- 积分:1
-
Digital-Image-Watermarking
Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio.
- 2013-07-24 16:46:25下载
- 积分:1
-
fft
使用快速FFT求序列平均周期.输入时间序列,返回快速傅里叶变换FFT计算出的序列平均周期。求混沌序列最大Lyapunov指数时,要求序列平均周期。(Fast FFT request sequence the average cycle)
- 2012-06-28 21:43:19下载
- 积分:1
-
music(doa)
七单元天线阵MUSIC DOA估计:
d=1 , 天线阵元的间距;
lma=2, 信号中心波长;
四输入信号;
A=[A1,A2,A3,A4], 得出A矩;
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)
- 2013-04-15 23:48:49下载
- 积分:1