代码搜索：Raspberry Pi
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www.eeworm.com/read/317326/13505887
m sa_ex7_7.m
% Linear predictive AOA estimation for a M = 6 element array with noise variance = .1
% allow transpose(u3) = [0 0 1 0 0 0]
M=6;
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
a=[1];
www.eeworm.com/read/317326/13505891
m sa_ex8_7.m
%%%%%%%%%%%%%%%%%%%
%% SMI Algorithm example 8.7%%
%%%%%%%%%%%%%%%%%%%
%----- Givens -----%
K=100; % Block length
sig2=.001;
d = .5; % element spacing in terms of wavelength d = lambda/2
www.eeworm.com/read/317326/13505903
m sa_ex7_11b.m
% MUSIC AOA estimation for a M = 6 element array with noise variance = .1
M=6;
D = 2; % number of signals
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
for i=2:M
a1=[a1 exp
www.eeworm.com/read/317326/13505908
m sa_fig4_5.m
% Figure 4.4 2-D patterns for isotropic array of N elements
%
set(0,'defaultfigurecolor','w')
theta=-pi/2:.005:pi/2;
N=4;
%delta=-pi*sqrt(2); % phase shift for broadside delta=0;
www.eeworm.com/read/317326/13505910
m sa_ex8_9.m
%%%%%%%%%%%%%%%%%%%
%% Smart antenna ex 8.9 RLS Algorithm %%
%%%%%%%%%%%%%%%%%%%
%----- Givens -----%
K=50; % total number of data samples
alpha=.9;
sig2=.01;
d = .5; % element spacing in
www.eeworm.com/read/317326/13505921
m sa_ex7_5.m
% Bartlett Pseudospectra for a M = 6 element array with noise variance = .1
M=6;
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
a=[1];
for i=2:M
a1=[a1 exp(-1j*i*pi*sin(th1))];
www.eeworm.com/read/317326/13505926
m sa_ex7_8.m
% Maximum Entropy AOA estimation for a M = 6 element array with noise variance = .1
%
M=6;
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
a=[1];
%u3=[0 0 1 0 0 0];
for i=2:M
a
www.eeworm.com/read/317326/13505960
m sa_ex7_13.m
% root-MUSIC AOA estimation for a M = 6 element array with noise variance = .1
% use time averages instead of expected values by assuming ergodicity of the mean and
% ergodicity of the correlation.
www.eeworm.com/read/317138/13510013
m energybalancemodel.m
function energybanlancemodel()
%主函数
for i=1:100 %赋初值
u(i)=-1;
a(i)=-1;
end
u(101)=0;
a(1)=1;
a(101)=0;
r=0.3;
%pi=3.14159;
for i=100:-1:1
www.eeworm.com/read/317053/13511168
m program_04_1.m
% Program 4_1
% Generate the filter coefficients
colordef black
h1 = ones(1,5)/5; h2 = ones(1,14)/14;h3 = ones(1,200)/200;
w = 0:pi/255:pi;
% Compute the frequency responses
H1 = freqz(h1, 1, w