classdef Pulseformer %Pulseformer Summary of this class goes here % Detailed explanation goes here properties(Access=public) fdac fsym pulse pulselength rrcalpha end methods (Access=public) function obj = Pulseformer(options) %NAME Construct an instance of this class % Detailed explanation goes here arguments options.fdac double options.fsym double options.pulse pulseform = pulseform.rrc options.pulselength double {mustBeInteger} = 32 options.rrcalpha double = 0.05 end % fn = fieldnames(options); for n = 1:numel(fn) try obj.(fn{n}) = options.(fn{n}); end end % do more stuff end function signalclass_out = process(obj,signalclass_in) % actual processing of the signal (steps 1. - 3.) signalclass_in.signal = obj.process_(signalclass_in.signal); % append to logbook lbdesc = 'Applied Pulseshaping'; signalclass_in = signalclass_in.logbookentry(lbdesc); % write fs to signal signalclass_in.fs = obj.fdac; % write to output signalclass_out = signalclass_in; end end methods (Access=private) % Cant be seen from outside! So put all your functions here that can/ % shall not be called from outside function data_out = process_(obj,data_in) %METHOD1 Summary of this method goes here % Detailed explanation goes here arguments(Input) obj data_in end arguments(Output) data_out end if ~rem(obj.fdac,obj.fsym) %ist ein Vielfaches sps = obj.fdac / obj.fsym; up = sps; dn = 1; else %ist kein Vielfaches up = obj.fdac / gcd(obj.fdac, obj.fsym); dn = obj.fsym / gcd(obj.fdac, obj.fsym); sps= up; end if obj.pulse == pulseform.rrc %Bau das Filter (hier rrc) racos_len = obj.pulselength*2; alpha = obj.rrcalpha; h = rcosdesign(alpha,racos_len,sps,"normal"); h = h./ max(h); end % Apply filter the long way (from move_it) % block length in samples data_in = data_in'; blen = length(data_in)*sps; % oversample symbol sequence symbolov=zeros(size(data_in,1),blen); symbolov(:,1:sps:blen-sps+1)=data_in; H=fft(h,blen); % Convolution of Bit sequence with impulse response % cyclic convolution data_out=ifft( fft(symbolov.') .* repmat( H,size(data_in,1),1 ).' ).'; data_out = circshift(data_out,[0 -(obj.pulselength*sps)]); if rem(obj.fdac,obj.fsym) data_out = data_out(1:dn:end); %! end % %Apply Filter using Matlab build in fctn. % h = rcosdesign(alpha,racos_len,sps); % h = h./ max(h); %data_out_ = upfirdn(data_in,h,up,dn); % % %cut signal, which is longer due to fir filter st = round(up/dn*racos_len/2); %we need to cut y_out % en = round(st + (length(data_in)*up/dn) -1); % data_out = data_out(st:en); %scaling?! see pulsef module line 696 % scale = max(max([abs(real(data_out)) abs(imag(data_out))])); %find max value from real and imag part % data_out = data_out./scale; data_out = data_out'; %Check output integrity if round(up/dn * length(data_in)) ~= length(data_out) %warning('Check signal length after pulse shaping'); %disp('Check signal length after pulse shaping'); end end end end