1 | %% get the input file |
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2 | project='/fsnet/project/coriolis/2016/16CREST'; |
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3 | % if ~exist(project,'dir') |
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4 | % project='U:\project\coriolis\2015\15MINI_MEDDY\PROBES';%windows |
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5 | % end |
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6 | fileinput=uigetfile_uvmat('pick an input file',project); |
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7 | [Path,Name,Ext]=fileparts(fileinput); |
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8 | |
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9 | %% read the input file |
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10 | FileType=''; |
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11 | if strcmp(Ext,'.lvm') |
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12 | disp(['reading ' fileinput '...']) |
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13 | Data=read_lvm(fileinput) |
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14 | elseif strcmp(Ext,'.nc') |
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15 | disp(['reading ' fileinput '...']) |
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16 | Data=nc2struct(fileinput) |
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17 | else |
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18 | disp('invalid input file extension') |
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19 | end |
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20 | |
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21 | %% save netcdf file as .lvm |
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22 | if strcmp(Ext,'.lvm') |
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23 | OutputFile=fullfile(Path,[Name '.nc']); |
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24 | errormsg=struct2nc(OutputFile,Data);% copy the data in a netcdf file |
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25 | if isempty(errormsg) |
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26 | disp([OutputFile ' written']) |
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27 | else |
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28 | disp(errormsg) |
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29 | end |
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30 | [success,msg] = fileattrib(OutputFile,'+w','g')% allow writing access for the group of users |
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31 | end |
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32 | |
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33 | %% use calibration stored in a specified xml file; always use the same file |
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34 | ProbeDoc=[]; |
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35 | %XmlFile=fullfile(Path,[Name '.xml']); |
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36 | XmlFile=fullfile(Path,'calib.xml'); |
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37 | if exist(XmlFile,'file') |
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38 | ProbeDoc=xml2struct(XmlFile) |
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39 | else |
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40 | disp('no calibration file .xml detected') |
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41 | end |
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42 | |
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43 | % if isfield(Data,'Position'), C2,C4,C6 |
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44 | % Min=1; Data.Position=Data.Position+PositionMin; |
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45 | % end |
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46 | % a5=-2.134088,b5=1010.1611, Data.C2=Data.C2; Data.C5=a5*Data.C5+b5; Data.C6=Data.C2; |
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47 | % ylabelstring='density drho (kg/m3)'; |
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48 | |
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49 | |
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50 | %% transform temperature probe signals |
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51 | if isfield(ProbeDoc,'T5')&& ~isempty(ProbeDoc.T5) % if temperature calibration exists; see calibT.m |
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52 | |
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53 | Data.T5=exp((Data.T5 - ProbeDoc.T5.a)./ProbeDoc.T5.b);% transform volt signal into temperature |
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54 | Data.T5=filter(ones(1,60)/60,1,Data.T5); % filter the signal to 4 Hz |
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55 | figure(6); set(6,'name','temperature'); plot(Data.Time,Data.T5); |
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56 | %plot(Data.Time,Data.T5,Data.Time,20+Data.Position/100) |
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57 | title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', temperature']) |
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58 | xlabel('Time(s)'); ylabel('temperature (degree C)'); %ylim([20 37]) |
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59 | grid on |
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60 | end |
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61 | |
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62 | %% check camera signal |
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63 | ind_start=find(Data.Trig_Cam>3.5,1,'first') |
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64 | disp(['camera starts at time ' num2str(Data.Time(ind_start))]) |
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65 | %% transform and filter conductivity probe signals into [temperature-corrected] density |
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66 | ylabelstring='conductivity signal (volts)'; clist=0;% counter of conductivity probes |
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67 | for ilist=1:numel(Data.ListVarName) |
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68 | if isequal(Data.ListVarName{ilist}(1),'C');% if the var name begins by 'C' |
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69 | clist=clist+1; |
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70 | CName{clist}=Data.ListVarName{ilist}; |
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71 | if isfield(ProbeDoc,CName{clist})&& ~isempty(ProbeDoc.(CName{clist})) |
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72 | |
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73 | a=ProbeDoc.(CName{clist}).a; b=ProbeDoc.(CName{clist}).b; |
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74 | % Data.(CName{clist})=a*Data.(CName{clist})+b;% volts STRAIGHT into density (if const T) |
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75 | |
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76 | %% BUT now need to modify conductivity, density due to temperature effect |
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77 | %% first put into conductivity - using just C5 conductivity calibration for now (22/7/15) |
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78 | ac1 = 0.5766e4; bc1 = 2.9129e4; %% this was found later, w/ different gain. Use the one below instead |
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79 | %% 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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80 | Data.(CName{clist})=ac1*Data.(CName{clist})+bc1; %% voltage translated into conductivity via calibration |
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81 | |
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82 | %% read in temperature... |
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83 | refT = 23; T = Data.T5; |
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84 | Hewitt_fit = [2.2794885e-11 -6.2634979e-9 1.5439826e-7 7.8601061e-5 2.1179818e-2]; |
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85 | bfit = reshape(polyval(Hewitt_fit,T(:)),size(T)); bref = reshape(polyval(Hewitt_fit,refT(:)),size(refT)); |
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86 | sigTsig18 = (1+bfit.*(T-18)); sigREFsig18 = (1+bref.*(refT-18)); |
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87 | modfactor = sigTsig18./sigREFsig18; |
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88 | modfactor = 1./modfactor; %% now in sigREF/sigT, which (* sigT) below to get sigREF, which can convert to rho |
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89 | Data.(CName{clist})=Data.(CName{clist}).*modfactor %% = temp corrected conductivity (= as if at reference temp) |
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90 | |
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91 | %% now we need to put the modified conductivity back into a (modified) voltage, then estimate density directly. |
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92 | ac2 = 1.7343e-4; bc2 = -5.0048; |
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93 | Data.(CName{clist})=ac2*Data.(CName{clist})+bc2; % temp-corrected voltage |
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94 | Data.(CName{clist})=a*Data.(CName{clist})+b; % now finally voltage into density |
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95 | Data.(CName{clist})=filter(ones(1,20)/20,1,Data.(CName{clist})); % filter the signal to 10 Hz |
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96 | ylabelstring='density drho (g/cm3)'; |
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97 | |
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98 | end |
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99 | end |
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100 | end |
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101 | |
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102 | %% plot conductivity signals |
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103 | figure(1); set(1,'name','conductivity') |
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104 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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105 | plot_string='plot('; |
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106 | for clist=1:numel(CName) |
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107 | Data.(CName{clist})=filter(ones(1,bandwidth2)/bandwidth2,1,Data.(CName{clist}));%low pass filter |
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108 | plot_string=[plot_string 'Data.Time,Data.' CName{clist} ',']; |
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109 | end |
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110 | plot_string(end)=')'; |
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111 | eval(plot_string) |
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112 | legend(CName') |
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113 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', conductivity probes']); |
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114 | set(htitle,'Interpreter','none')% desable tex interpreter |
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115 | xlabel('Time(s)') |
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116 | ylabel(ylabelstring) |
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117 | ylim([1 1.02]) |
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118 | grid on |
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119 | |
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120 | if isfield(Data,'Position') |
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121 | %% plot motor position |
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122 | figure(2) |
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123 | set(2,'name','position') |
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124 | plot(Data.Time,Data.Position) |
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125 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', probe position ']); |
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126 | set(htitle,'Interpreter','none')% desable tex interpreter |
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127 | xlabel('Time(s)') |
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128 | ylabel('Z (cm)') |
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129 | grid on |
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130 | hold on |
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131 | plot(Data.Time,Data.Speed) |
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132 | |
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133 | %% plot conductivity probe profiles (limited to downward motion, Data.Speed<0) |
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134 | if ~isempty(ProbeDoc) |
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135 | figure(3) |
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136 | set(3,'name','profiles') |
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137 | Zmotor=Data.Position(Data.Speed<0); |
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138 | Z=Zmotor*ones(1,numel(CName));%motor position transformed in a matrix with a columnfor each probe |
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139 | Zmax=max(Zmotor); |
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140 | plot_string='plot('; |
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141 | for clist=1:numel(CName) |
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142 | 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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143 | Zprobe=Zmotor-Zmax+ProbeDoc.(CName{clist}).Position(2,3);%upper position of the probe |
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144 | Zprobe(Zprobe<ProbeDoc.(CName{clist}).Position(1,3))=ProbeDoc.(CName{clist}).Position(1,3); |
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145 | Z(:,clist)=Zprobe;% add to z the first z position of the chosen probe (given in the xml file) |
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146 | plot_string=[plot_string 'Z(:,' num2str(clist) '),Data.' CName{clist} '(Data.Speed<0),']; |
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147 | end |
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148 | end |
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149 | plot_string(end)=')'; |
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150 | eval(plot_string) |
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151 | legend(CName') |
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152 | htitle=title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', conductivity probes']); |
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153 | set(htitle,'Interpreter','none')% desable tex interpreter |
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154 | xlabel('Z(cm)') |
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155 | ylabel(ylabelstring) |
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156 | ylim([1 1.02]) |
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157 | grid on |
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158 | end |
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159 | |
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160 | end |
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161 | |
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162 | %%%% |
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163 | figure(4) |
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164 | bandwidth1=480; % corresponds to 2 cm (1 cm/s with 240 pts/s) |
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165 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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166 | C5_filter_low=filter(ones(1,bandwidth2)/bandwidth2,1,Data.C5);%low pass filter |
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167 | C5_filter=filter(ones(1,bandwidth1)/bandwidth1,1,C5_filter_low);%low pass filter |
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168 | C5_filter=C5_filter_low-C5_filter;% high pass filter |
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169 | C5_filter(Data.Speed>-0.1)=NaN; |
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170 | plot(Data.Time,C5_filter) |
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171 | ylim([-0.001 0.001]) |
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172 | hold on |
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173 | plot(Data.Time,Data.Position/100000) |
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174 | grid on |
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175 | hold off |
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176 | title('C5 filtered') |
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177 | |
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178 | %%%% |
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179 | figure(5) |
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180 | bandwidth1=480; % corresponds to 2 cm (1 cm/s with 240 pts/s) |
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181 | bandwidth2=60; % corresponds to 0.25 cm (1 cm/s with 240 pts/s), removes 4 Hertz |
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182 | C3_filter_low=filter(ones(1,bandwidth2)/bandwidth2,1,Data.C3);%low pass filter |
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183 | C3_filter=filter(ones(1,bandwidth1)/bandwidth1,1,C3_filter_low);%low pass filter |
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184 | C3_filter=C3_filter_low-C3_filter;% high pass filter |
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185 | C3_filter(Data.Speed>-0.1)=NaN; |
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186 | plot(Data.Time,C3_filter) |
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187 | ylim([-0.001 0.001]) |
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188 | hold on |
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189 | plot(Data.Time,Data.Position/100000) |
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190 | grid on |
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191 | hold off |
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192 | title('C3 filtered') |
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193 | |
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194 | %% plot velocity (ADV) signals |
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195 | % figure(5) |
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196 | % set(5,'name','velocity') |
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197 | % 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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198 | % legend({'ADV_X';'ADV_Y';'ADV_Z1';'ADV_Z2'}) |
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199 | % title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', signal velocity']) |
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200 | % xlabel('Time(s)') |
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201 | % ylabel('signal (Volt)') |
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202 | % grid on |
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203 | |
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204 | %% plot velocity interface signals |
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205 | % figure(6) |
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206 | % set(6,'name','interface') |
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207 | % plot(Data.Time,Data.I1,Data.Time,Data.I2,Data.Time,Data.I3,Data.Time,Data.I4) |
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208 | % legend({'I1';'I2';'I3';'I4'}) |
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209 | % title([Data.Experiment ', ' Data.FileName ', Time=' Data.DateTime ', signal interface (ultrasound)']) |
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210 | % xlabel('Time(s)') |
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211 | % ylabel('signal (Volt)') |
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212 | % grid on |
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213 | |
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214 | |
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215 | |
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