droop4

相关函数法该方法先由序列估计出自相关函数R，然后对其进行傅立叶变换，得到功率谱估计。当延时和数据长度相比很小的时候可以有良好的估计精度。 (Correlation function method that the method is estimated by the sequence from a correlation function R, then its Fourier transform, the power spectrum estimation. When the length of delay and data can be compared to a very early age have a good estimation accuracy.)

维纳滤波的一个应用 是关于AR(4)模型的(An application of Wiener filtering is on the AR (4) model)

说明：  FIR滤波器设计,非常好，大家请下，20 个字太长了，哈人要求啊(FIR filter design)

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 )

Tests for <code>KeyPairGenerator</code> class constructors and methods.

Blackamnn Tukey spectral estimation method

Project OOP Making Store System Information using simple with txt

13 convolutional encoder

这个是9阶的lms自适应均衡器simulink，是教授给的材料，实际上只要修改阶数，能实现n阶lms自适应均衡器。(This is a 9 bands LMS adaptive equalizer simulink, is to teach the material to, in fact, as long as the modified order to realize n-order LMS adaptive equalizer.)

reseaux de neurones reconnaissance alphabet