-
beampattern
由切比雪夫权值矢量及阵元间距画波束方向图:有x输入,计算该方向的值,否则计算所有方向的值,画出方向图(By the weight vector and the array element spacing beam pattern draw: there is x input, calculate the value of the direction, otherwise the value calculated in all directions, draw the direction of graph)
- 2009-04-08 15:03:32下载
- 积分:1
-
New_test1
the example source code for the pmw generate signal
- 2010-02-25 20:13:25下载
- 积分:1
-
exa070501
共轭正交镜像滤波器组的设计。令N=22,wp=0.45pi,用切比雪夫最佳一致逼近法设计单带滤波器G(z),在得到半带滤波器Hlf(z).
(conjugate mirror filters orthogonal design. Order N = 22, wp = 0.45pi. Chebyshev with the best approximation consistent single-band filter design G (z), with the half-band filter Hlf (z).)
- 2007-03-15 21:48:48下载
- 积分:1
-
bvp6c
高精度的matlab求微分方程组的边值问题的bvp6
c的解算器,精度高于常用的bvp4c。(bvp6c solver for ode bvps in matlab)
- 2020-07-04 19:20:01下载
- 积分:1
-
Practical.CPP.Programming.chm
O Reilly.Practical.C++.Programming.chm,电子书籍,英文版。(O Reilly.Practical.C++.Programming.chm,E-books, in English.)
- 2013-12-22 11:47:42下载
- 积分:1
-
Frame-difference-alarm
视频监控,如果有东西经过监控区域就语音报警(有贼闯入)利用帧之间做差的方法(Video surveillance, if there are things after monitoring the regional voice alarm (the thief broke into) the use of the frame do the difference between method)
- 2012-03-25 23:27:25下载
- 积分:1
-
bartlett_spacial
bartlett 波束形成,可实现matlab仿真分析 程序包括注解等必要说明(bartlett beamforming)
- 2011-05-14 12:12:12下载
- 积分:1
-
GA
说明: 遗传算法,分为个7个子函数:分别为编码、解码、选择、交叉、变异、目标函数和总调用。有详细的注释。(Genetic algorithm, into a seven sub-functions: respectively, encoding, decoding, selection, crossover and mutation, the objective function and the total calls. There are detailed notes.)
- 2011-10-15 23:53:01下载
- 积分:1
-
cycle-slip-detection
一种基于easy代码,利用小波进行周跳探测的技术,内附实例。(Based on easy code, cycle slip detection using wavelet technology, enclosing instance.)
- 2013-09-04 09:34:48下载
- 积分:1
-
LMS
1,、设置变量和参量:
X(n)为输入向量,或称为训练样本
W(n)为权值向量
e(n)为偏差
d(n)为期望输出
y(n)为实际输出
η为学习速率
n为迭代次数
2、初始化,赋给w(0)各一个较小的随机非零值,令n=0
3、对于一组输入样本x(n)和对应的期望输出d,计算
e(n)=d(n)-X^T(n)W(n)
W(n+1)=W(n)+ηX(n)e(n)
4、判断是否满足条件,若满足算法结束,若否n增加1,转入第3步继续执行(, set the variables and parameters:
X (n) is the input vector, otherwise known as the training sample
W (n) for the weight vector
e (n) for the deviation
d (n) is the desired output
y (n) is the actual output
η is the learning rate
n is the number of iterations)
- 2011-12-10 20:22:05下载
- 积分:1