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m lms3.m

%LMS3 Problem 1.1.1.2.1 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard dev
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m tlms2.m

%TLMS2 Problem 1.1.1.2.2 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard de
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m rls3.m

%RLS3 Problem 1.1.1.2.3 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard dev
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m nlrls2.m

%NLRLS2 Problem 1.1.1.2.5 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard d
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m lms5.m

%LMS5 Problem 2.1 % % 'ifile.mat' - input file containing: % K - iterations % H - FIR channel % Neq - equalizer order % sigman - standard deviation of noise at channel ou
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m sfrls2.m

%SFRLS2 Problem 1.1.1.2.7 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard d
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m tut2.m

% Tutorial 2. Part 2. % Disk drive problem % Robust stability evaluation using the structured % singular value. clear % Define the state model for the transfer function M A=[ -1000
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asv test8.asv

% We solve Poisson's equation % -div(grad(u))=1 % on the L-shaped membrane with u=0 on the boundary. % The problem is solved using subdomain decomposition. pause % Strike
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m test8.m

% We solve Poisson's equation % -div(grad(u))=1 % on the L-shaped membrane with u=0 on the boundary. % The problem is solved using subdomain decomposition. pause % Strike
www.eeworm.com/read/193278/8241569

m unimodal.m

function B=unimodal(X,Y,Bold) % Solves the problem min|Y-XB'| subject to the columns of % B are unimodal and nonnegative. The algorithm is iterative % If an estimate of B (Bold) is given only on