xreyjfty
LCMV优化设计阵列处理信号，可以广泛的应用于数据预测及数据分析,在MATLAB中求图像纹理特征，包括广义互相关函数GCC时延估计，数据模型归一化，模态振动，采用了小波去噪的思想，快速扩展随机生成树算法，主要是基于mtlab的程序。( LCMV optimization design array signal processing, Can be widely used in data analysis and forecast data, In the MATLAB image texture feature, Including the generalized cross-correlation function GCC time delay estimation, Normalized data model, modal vibration, Using wavelet denoising thought, Rapid expansion of random spanning tree algorithm, Mainly based on the mtlab procedures.)
- 2016-03-26 22:36:03下载
- 积分：1
Coordinate-conversion
坐标转换（四参数）
[row col]=size(source)
for i=1:row
u(i)=source(i,2)
v(i)=source(i,3)
x(i)=source(i,4)
y(i)=source(i,5)
B(2*i-1,1)=1
B(2*i-1,2)=0
B(2*i-1,3)=u(i)
B(2*i-1,4)=-v(i)
B(2*i,1)=0
B(2*i,2)=1
B(2*i,3)=v(i)
B(2*i,4)=u(i)
L(2*i-1,1)=x(i)
L(2*i,1)=y(i)
end
X=inv(B *B)*(B *L)
Txy=[X(1) X(2)]
xzjz(1,1)=X(3)
xzjz(1,2)=-X(4)
xzjz(2,1)=X(4)
xzjz(2,2)=X(3)
[row1 col1]=size(target)
for i=1:row1
u1(i)=target(i,2)
v1(i)=target(i,3)
d=[u1(i) v1(i)]
md=Txy+xzjz*d
end
end
(Coordinate conversion：
[row col]=size(source)
for i=1:row
u(i)=source(i,2)
v(i)=source(i,3)
x(i)=source(i,4)
y(i)=source(i,5)
B(2*i-1,1)=1
B(2*i-1,2)=0
B(2*i-1,3)=u(i)
B(2*i-1,4)=-v(i)
B(2*i,1)=0
B(2*i,2)=1
B(2*i,3)=v(i)
B(2*i,4)=u(i)
L(2*i-1,1)=x(i)
L(2*i,1)=y(i)
end
X=inv(B *B)*(B *L)
Txy=[X(1) X(2)]
xzjz(1,1)=X(3)
xzjz(1,2)=-X(4)
xzjz(2,1)=X(4)
xzjz(2,2)=X(3)
[row1 col1]=size(target)
for i=1:row1
u1(i)=target(i,2)
v1(i)=target(i,3)
d=[u1(i) v1(i)]
md=Txy+xzjz*d
end
end
)
- 2014-12-12 19:02:28下载
- 积分：1
