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classdef TapTogglingFramework < handle
% Simple framework for tap toggling experiments
% Supports both stateless and stateful algorithms
properties
algorithmType % String identifier for the algorithm
state % For stateful algorithms
end
methods
function obj = TapTogglingFramework(algorithmType, LMSUpdateObj)
% Store the algorithm type as a string
obj.algorithmType = algorithmType;
% Initialize state based on algorithm type
switch algorithmType
case 'base'
obj.state = [];
case 'allzeros'
obj.state = [];
case 'mincoeff'
obj.state = struct('N', 10 , 'startPoint', 0.8);
case 'leveraged'
obj.state = LeveragedLMS(LMSUpdateObj);
case 'threshold'
obj.state = struct('thresholdPercent', 0.1, 'startPoint', 0.95);
case 'informedMinC'
obj.state = InformedMinCoeff(LMSUpdateObj);
case 'marginLock'
obj.state = MarginLock(LMSUpdateObj);
otherwise
error('Unknown algorithm type: %s', algorithmType);
end
end
function mask = getMask(obj, taps, LMSUpdateObj)
% Dispatch based on algorithm type string
mask = ones(size(taps));
switch obj.algorithmType
case 'base'
mask = obj.simpleToggle(taps);
case 'allzeros'
mask = zeros(size(taps));
case 'mincoeff'
mask = obj.minCoeffToggle(taps, LMSUpdateObj);
case 'threshold'
mask = obj.thresholdToggle(taps, LMSUpdateObj);
case 'leveraged'
mask = obj.LMSToggle(taps, LMSUpdateObj);
case 'informedMinC'
mask = obj.informedMinCToggle(taps, LMSUpdateObj);
case 'marginLock'
mask = obj.MarginLockToggle(taps, LMSUpdateObj);
otherwise
error('Unknown algorithm type: %s', obj.algorithmType);
end
end
%% Algorithms ----------------------------------------------------------------
function mask = simpleToggle(obj, taps)
mask = ones(size(taps));
end
function mask = minCoeffToggle(obj, taps, LMSUpdateObj)
mask = ones(size(taps));
if isempty(obj.state) || ~isfield(obj.state, 'N') || ~isfield(obj.state, 'startPoint')
return;
end
if LMSUpdateObj.IterCount > round(obj.state.startPoint * LMSUpdateObj.NumSymbolFramesAdaptation * LMSUpdateObj.WindowSize) || LMSUpdateObj.Adapting == 0
mask = MinCoeff(taps,obj.state.N);
end
end
function mask = thresholdToggle(obj, taps, LMSUpdateObj)
mask = ones(size(taps));
if isempty(obj.state) || ~isfield(obj.state, 'thresholdPercent') || ~isfield(obj.state, 'startPoint')
return;
end
if LMSUpdateObj.IterCount > round(obj.state.startPoint * LMSUpdateObj.NumSymbolFramesAdaptation * LMSUpdateObj.WindowSize) || LMSUpdateObj.Adapting == 0
mask = Threshold(taps,obj.state.thresholdPercent);
end
end
function mask = LMSToggle(obj, taps, LMSUpdateObj)
mask = ones(size(taps));
% Necessary otherwise simulink complains
if isobject(obj.state) && ismethod(obj.state, 'GetFFETapsMask')
mask = obj.state.GetFFETapsMask(LMSUpdateObj);
else
mask = ones(size(taps));
end
end
function mask = informedMinCToggle(obj, taps, LMSUpdateObj)
mask = ones(size(taps));
% Necessary otherwise simulink complains
startTime = round((LMSUpdateObj.StartDFEAdaptTime + 50) * LMSUpdateObj.WindowSize);
if isobject(obj.state) && ismethod(obj.state, 'GetFFETapsMask') && LMSUpdateObj.IterCount > startTime
mask = obj.state.GetFFETapsMask(LMSUpdateObj);
else
mask = ones(size(taps));
end
end
function mask = MarginLockToggle(obj, taps, LMSUpdateObj)
mask = ones(size(taps));
% Necessary otherwise simulink complains
if isobject(obj.state) && ismethod(obj.state, 'GetFFETapsMask')
mask = obj.state.GetFFETapsMask(LMSUpdateObj);
else
mask = ones(size(taps));
end
end
end
end
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