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大小: 8KB文件類型: .zip金幣: 2下載: 1 次發布日期: 2021-11-07
- 語言: Matlab
- 標簽: Beamforming??Adaptive??Fil??Nonlinear_Ad??
資源簡介
經典beamforming、自適應濾波教材matlab源代碼。 Paulo S.R. Diniz編著的自適應濾波第四版(Adaptive Filtering_Algorithms and Practical Implementation 4th),源代碼——Nonlinear_Adaptive_Filters

代碼片段和文件信息
%???Bilinear_RLS.m
%???????Implements?the?Bilinear?RLS?algorithm?for?REAL?valued?data.
%???????(Algorithm?11.3?-?book:?Adaptive?Filtering:?Algorithms?and?Practical
%????????????????????????????????????????????????????????Implementation?Diniz)
%??
%???Input?parameters:
%???????Nr?????:?members?of?ensemble.
%???????dim????:?iterations.
%???????Sx?????:?standard?deviation?of?input.
%???????Sn?????:?standard?deviation?of?measurement?noise.
%???????lambda?:?exponential?weighting?factor.
%??????
%???Output?parameters:
%???????MSE????:?mean-square?error.
%??
%???Authors:
%???????.?Guilherme?de?Oliveira?Pinto???-?guilhermepinto7@gmail.com?&?guilherme@lps.ufrj.br
%???????.?Markus?Vinícius?Santos?Lima???-?mvsl20@gmailcom???????????&?markus@lps.ufrj.br
%???????.?Wallace?Alves?Martins?????????-?wallace.wam@gmail.com?????&?wallace@lps.ufrj.br
%???????.?Luiz?Wagner?Pereira?Biscainho?-?cpneqs@gmail.com??????????&?wagner@lps.ufrj.br
%???????.?Paulo?Sergio?Ramirez?Diniz????-?????????????????????????????diniz@lps.ufrj.br
%
clear?all; %?clear?memory
%?Input:?
Nr?????=?100;
dim????=?5e2;
Sx?????=?1;?
Sn?????=?1e-1;
lambda?=?0.98;
%?Body:
for?j=1:Nr
???n=Sn*randn(dim1);????????%?noise?at?system?output???
???x=Sx*(randn(dim1));?????????%?input?signal
???xl(1)=0;?xl(2:dim)=x(1:dim-1);
???w=zeros(4dim);???????????%?initial?coefficient?vector
???d=zeros(dim1);
???yl(1)=0;?dl(1)=0;
???
???Sd=eye(4);
???for?i=1:dim
??????d(i)=-.6*dl(i)+x(i)+.01*x(i)*dl(i)+.02*xl(i)*dl(i)+n(i);?%?unknown?system?output?sample
??????uxl(:i)=[x(i)?dl(i)?x(i)*dl(i)?xl(i)*dl(i)]‘;?%?new?input?vector
??????elinha(i)=d(i)-w(:i)‘*uxl(:i)+n(i);??????????%?error?sample
??????psi=Sd*uxl(:i);
??????Sd=(1/lambda)*(Sd-(psi*psi‘)/(lambda+psi‘*uxl(:i)));
??????w(:i+1)=w(:i)+elinha(i)*Sd*uxl(:i);?????????%?new?coefficient?vector
??????y(i)=w(:i+1)‘*uxl(:i);???????????????????????%?output?sample
??????yl(i+1)=yl(i);
??????dl(i+1)=d(i);
??????e(i)=d(i)-y(i)+n(i);
???end
???mse(j:)=e.^2;
end
MSE=mean(mse);
%?Output:
figure
plot(10*log10(MSE));
title(‘Learning?Curve?for?MSE‘);
xlabel(‘Number?of?iterations?k‘);?ylabel(‘MSE?[dB]‘);
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-01-11?14:50??Nonlinear_Adaptive_Filters\
?????文件????????2133??2011-01-04?08:53??Nonlinear_Adaptive_Filters\Bilinear_RLS.m
?????文件????????2803??2011-01-04?08:54??Nonlinear_Adaptive_Filters\Complex_Radial_Basis_Function.m
?????文件????????2615??2011-01-04?08:54??Nonlinear_Adaptive_Filters\Multil
?????文件????????2637??2011-01-04?08:54??Nonlinear_Adaptive_Filters\Radial_Basis_Function.m
?????文件????????2089??2011-01-04?08:54??Nonlinear_Adaptive_Filters\Volterra_LMS.m
?????文件????????2106??2011-01-04?08:54??Nonlinear_Adaptive_Filters\Volterra_RLS.m
?????文件?????????134??2010-12-12?04:22??Nonlinear_Adaptive_Filters\sgd.m
?????文件?????????108??2010-12-12?04:22??Nonlinear_Adaptive_Filters\sgm.m
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