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m fqrrls3.m

%FQRRLS3T Problem 3.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of signal to predict % sigman - standar
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m fqrrls2.m

%FQRRLS2 Problem 1.1.1.2.9 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard
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m rls5.m

%RLS5 Problem 4.5 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard dev
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m sfrls3.m

%SFRLS3 Problem 2.3 % % 'ifile.mat' - input file containing: % K - iterations % H - FIR channel % Neq - equalizer order % sigman - standard deviation of measurement noise
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m se1.m

%SE1 Problem 3.1 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of signal to predict % sigman - standard dev
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m se2.m

%SE2 Problem 4.2 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard devi
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m nlms2.m

%NLMS2 Problem 4.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard de
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m eflrls2.m

%EFLRLS2 Problem 1.1.1.2.6 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % a1 - coefficient of input AR process % sigmax - standard
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m pte2.m

%PTE2 Problem 4.3 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard dev
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m eflrls3.m

%EFLRLS3 Problem 2.2 % % 'ifile.mat' - input file containing: % K - iterations % H - FIR channel % Neq - equalizer order % sigman - standard deviation of noise at channel
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