| 1 | %% get the input file |
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| 2 | project='/fsnet/project/coriolis/2024/24PLUME'; |
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| 3 | fileinput=uigetfile_uvmat('pick an input file',project); |
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| 4 | [Path,Name,Ext]=fileparts(fileinput); |
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| 5 | |
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| 6 | %% read the input file |
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| 7 | FileType=''; |
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| 8 | if strcmp(Ext,'.lvm') |
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| 9 | disp(['reading ' fileinput '...']) |
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| 10 | Data=read_lvm(fileinput) |
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| 11 | elseif strcmp(Ext,'.nc') |
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| 12 | disp(['reading ' fileinput '...']) |
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| 13 | Data=nc2struct(fileinput) |
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| 14 | else |
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| 15 | disp('invalid input file extension') |
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| 16 | end |
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| 17 | |
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| 18 | %% save netcdf file as .lvm |
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| 19 | if strcmp(Ext,'.lvm') |
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| 20 | OutputFile=fullfile(Path,[Name '.nc']); |
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| 21 | errormsg=struct2nc(OutputFile,Data);% copy the data in a netcdf file |
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| 22 | if isempty(errormsg) |
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| 23 | disp([OutputFile ' written']) |
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| 24 | else |
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| 25 | disp(errormsg) |
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| 26 | end |
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| 27 | [success,msg] = fileattrib(OutputFile,'+w','g')% allow writing access for the group of users |
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| 28 | end |
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| 29 | |
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| 30 | %% use calibration stored in a specified xml file; always use the same file |
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| 31 | ProbeDoc=[]; |
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| 32 | %XmlFile=fullfile(Path,[Name '.xml']); |
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| 33 | XmlFile=fullfile(Path,'calib.xml'); |
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| 34 | if exist(XmlFile,'file') |
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| 35 | ProbeDoc=xml2struct(XmlFile) |
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| 36 | else |
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| 37 | disp('no calibration file .xml detected') |
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| 38 | end |
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| 39 | |
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| 40 | % if isfield(Data,'Position'), C2,C4,C6 |
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| 41 | % Min=1; Data.Position=Data.Position+PositionMin; |
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| 42 | % end |
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| 43 | % a5=-2.134088,b5=1010.1611, Data.C2=Data.C2; Data.C5=a5*Data.C5+b5; Data.C6=Data.C2; |
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| 44 | % ylabelstring='density drho (kg/m3)'; |
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| 45 | |
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| 46 | |
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| 47 | %% transform temperature probe signals |
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| 48 | if isfield(ProbeDoc,'T5')&& ~isempty(ProbeDoc.T5) % if temperature calibration exists; see calibT.m |
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| 49 | |
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| 50 | Data.T5=exp((Data.T5 - ProbeDoc.T5.a)./ProbeDoc.T5.b);% transform volt signal into temperature |
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| 51 | Data.T5=filter(ones(1,60)/60,1,Data.T5); % filter the signal to 4 Hz |
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| 52 | figure(6); set(6,'name','temperature'); plot(Data.Time,Data.T5); |
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| 53 | %plot(Data.Time,Data.T5,Data.Time,20+Data.Position/100) |
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| 54 | title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', temperature']) |
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| 55 | xlabel('Time(s)'); ylabel('temperature (degree C)'); %ylim([20 37]) |
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| 56 | grid on |
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| 57 | end |
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| 58 | |
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| 59 | %% check camera signal |
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| 60 | ind_start=find(Data.Trig_cam>3.5,1,'first') |
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| 61 | disp(['camera starts at time ' num2str(Data.Time(ind_start))]) |
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| 62 | %% transform and filter conductivity probe signals into [temperature-corrected] density |
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| 63 | ylabelstring='conductivity signal (volts)'; clist=0;% counter of conductivity probes |
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| 64 | for ilist=1:numel(Data.ListVarName) |
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| 65 | if isequal(Data.ListVarName{ilist}(1),'C');% if the var name begins by 'C' |
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| 66 | clist=clist+1; |
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| 67 | CName{clist}=Data.ListVarName{ilist}; |
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| 68 | if isfield(ProbeDoc,CName{clist})&& ~isempty(ProbeDoc.(CName{clist})) |
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| 69 | |
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| 70 | a=ProbeDoc.(CName{clist}).a; b=ProbeDoc.(CName{clist}).b; |
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| 71 | % Data.(CName{clist})=a*Data.(CName{clist})+b;% volts STRAIGHT into density (if const T) |
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| 72 | |
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| 73 | %% BUT now need to modify conductivity, density due to temperature effect |
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| 74 | %% first put into conductivity - using just C5 conductivity calibration for now (22/7/15) |
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| 75 | ac1 = 0.5766e4; bc1 = 2.9129e4; %% this was found later, w/ different gain. Use the one below instead |
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| 76 | %% ac1 = 0.4845e4; bc1 = 2.064e4; %% this was w/ the gain when we did the experiments; but it doesn't work? |
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| 77 | Data.(CName{clist})=ac1*Data.(CName{clist})+bc1; %% voltage translated into conductivity via calibration |
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| 78 | |
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| 79 | %% read in temperature... |
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| 80 | refT = 23; T = Data.T5; |
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| 81 | Hewitt_fit = [2.2794885e-11 -6.2634979e-9 1.5439826e-7 7.8601061e-5 2.1179818e-2]; |
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| 82 | bfit = reshape(polyval(Hewitt_fit,T(:)),size(T)); bref = reshape(polyval(Hewitt_fit,refT(:)),size(refT)); |
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| 83 | sigTsig18 = (1+bfit.*(T-18)); sigREFsig18 = (1+bref.*(refT-18)); |
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| 84 | modfactor = sigTsig18./sigREFsig18; |
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| 85 | modfactor = 1./modfactor; %% now in sigREF/sigT, which (* sigT) below to get sigREF, which can convert to rho |
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| 86 | Data.(CName{clist})=Data.(CName{clist}).*modfactor %% = temp corrected conductivity (= as if at reference temp) |
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| 87 | |
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| 88 | %% now we need to put the modified conductivity back into a (modified) voltage, then estimate density directly. |
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| 89 | ac2 = 1.7343e-4; bc2 = -5.0048; |
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| 90 | Data.(CName{clist})=ac2*Data.(CName{clist})+bc2; % temp-corrected voltage |
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| 91 | Data.(CName{clist})=a*Data.(CName{clist})+b; % now finally voltage into density |
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| 92 | Data.(CName{clist})=filter(ones(1,20)/20,1,Data.(CName{clist})); % filter the signal to 10 Hz |
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| 93 | ylabelstring='density drho (g/cm3)'; |
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| 94 | |
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| 95 | end |
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| 96 | end |
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| 97 | end |
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| 98 | |
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| 99 | %% plot conductivity signals |
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| 100 | figure(1); set(1,'name','conductivity') |
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| 101 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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| 102 | plot_string='plot('; |
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| 103 | for clist=1:numel(CName) |
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| 104 | Data.(CName{clist})=filter(ones(1,bandwidth2)/bandwidth2,1,Data.(CName{clist}));%low pass filter |
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| 105 | plot_string=[plot_string 'Data.Time,Data.' CName{clist} ',']; |
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| 106 | end |
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| 107 | plot_string(end)=')'; |
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| 108 | eval(plot_string) |
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| 109 | legend(CName') |
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| 110 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', conductivity probes']); |
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| 111 | set(htitle,'Interpreter','none')% desable tex interpreter |
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| 112 | xlabel('Time(s)') |
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| 113 | ylabel(ylabelstring) |
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| 114 | ylim([1 1.02]) |
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| 115 | grid on |
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| 116 | |
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| 117 | if isfield(Data,'Position') |
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| 118 | %% plot motor position |
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| 119 | figure(2) |
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| 120 | set(2,'name','position') |
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| 121 | plot(Data.Time,Data.Position) |
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| 122 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', probe position ']); |
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| 123 | set(htitle,'Interpreter','none')% desable tex interpreter |
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| 124 | xlabel('Time(s)') |
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| 125 | ylabel('Z (cm)') |
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| 126 | grid on |
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| 127 | hold on |
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| 128 | plot(Data.Time,Data.Speed) |
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| 129 | |
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| 130 | %% plot conductivity probe profiles (limited to downward motion, Data.Speed<0) |
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| 131 | if ~isempty(ProbeDoc) |
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| 132 | figure(3) |
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| 133 | set(3,'name','profiles') |
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| 134 | Zmotor=Data.Position(Data.Speed<0); |
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| 135 | Z=Zmotor*ones(1,numel(CName));%motor position transformed in a matrix with a columnfor each probe |
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| 136 | Zmax=max(Zmotor); |
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| 137 | plot_string='plot('; |
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| 138 | for clist=1:numel(CName) |
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| 139 | if isfield(ProbeDoc,CName{clist})&& ~isempty(ProbeDoc.(CName{clist})) && size(ProbeDoc.(CName{clist}).Position,2)>=2 % if at least two positions are defined to indicate that the probe moves |
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| 140 | Zprobe=Zmotor-Zmax+ProbeDoc.(CName{clist}).Position(2,3);%upper position of the probe |
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| 141 | Zprobe(Zprobe<ProbeDoc.(CName{clist}).Position(1,3))=ProbeDoc.(CName{clist}).Position(1,3); |
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| 142 | Z(:,clist)=Zprobe;% add to z the first z position of the chosen probe (given in the xml file) |
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| 143 | plot_string=[plot_string 'Z(:,' num2str(clist) '),Data.' CName{clist} '(Data.Speed<0),']; |
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| 144 | end |
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| 145 | end |
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| 146 | plot_string(end)=')'; |
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| 147 | eval(plot_string) |
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| 148 | legend(CName') |
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| 149 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', conductivity probes']); |
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| 150 | set(htitle,'Interpreter','none')% desable tex interpreter |
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| 151 | xlabel('Z(cm)') |
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| 152 | ylabel(ylabelstring) |
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| 153 | ylim([1 1.02]) |
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| 154 | grid on |
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| 155 | end |
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| 156 | |
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| 157 | end |
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| 158 | |
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| 159 | %%%% |
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| 160 | figure(4) |
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| 161 | bandwidth1=480; % corresponds to 2 cm (1 cm/s with 240 pts/s) |
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| 162 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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| 163 | C5_filter_low=filter(ones(1,bandwidth2)/bandwidth2,1,Data.C5);%low pass filter |
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| 164 | C5_filter=filter(ones(1,bandwidth1)/bandwidth1,1,C5_filter_low);%low pass filter |
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| 165 | C5_filter=C5_filter_low-C5_filter;% high pass filter |
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| 166 | C5_filter(Data.Speed>-0.1)=NaN; |
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| 167 | plot(Data.Time,C5_filter) |
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| 168 | ylim([-0.001 0.001]) |
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| 169 | hold on |
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| 170 | plot(Data.Time,Data.Position/100000) |
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| 171 | grid on |
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| 172 | hold off |
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| 173 | title('C5 filtered') |
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| 174 | |
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| 175 | %%%% |
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| 176 | figure(5) |
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| 177 | bandwidth1=480; % corresponds to 2 cm (1 cm/s with 240 pts/s) |
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| 178 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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| 179 | C3_filter_low=filter(ones(1,bandwidth2)/bandwidth2,1,Data.C3);%low pass filter |
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| 180 | C3_filter=filter(ones(1,bandwidth1)/bandwidth1,1,C3_filter_low);%low pass filter |
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| 181 | C3_filter=C3_filter_low-C3_filter;% high pass filter |
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| 182 | C3_filter(Data.Speed>-0.1)=NaN; |
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| 183 | plot(Data.Time,C3_filter) |
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| 184 | ylim([-0.001 0.001]) |
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| 185 | hold on |
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| 186 | plot(Data.Time,Data.Position/100000) |
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| 187 | grid on |
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| 188 | hold off |
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| 189 | title('C3 filtered') |
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| 190 | |
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| 191 | %% plot velocity (ADV) signals |
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| 192 | % figure(5) |
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| 193 | % set(5,'name','velocity') |
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| 194 | % plot(Data.Time,Data.ADV_X,Data.Time,Data.ADV_Y,Data.Time,Data.ADV_Z1,Data.Time,Data.ADV_Z2) |
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| 195 | % legend({'ADV_X';'ADV_Y';'ADV_Z1';'ADV_Z2'}) |
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| 196 | % title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', signal velocity']) |
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| 197 | % xlabel('Time(s)') |
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| 198 | % ylabel('signal (Volt)') |
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| 199 | % grid on |
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| 200 | |
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| 201 | %% plot velocity interface signals |
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| 202 | % figure(6) |
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| 203 | % set(6,'name','interface') |
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| 204 | % plot(Data.Time,Data.I1,Data.Time,Data.I2,Data.Time,Data.I3,Data.Time,Data.I4) |
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| 205 | % legend({'I1';'I2';'I3';'I4'}) |
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| 206 | % title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', signal interface (ultrasound)']) |
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| 207 | % xlabel('Time(s)') |
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| 208 | % ylabel('signal (Volt)') |
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| 209 | % grid on |
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| 210 | |
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| 211 | |
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| 212 | |
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