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scope.m
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scope.m
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% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %% SCOPE CLASS %%
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % %
% % Author: Frederic Depuydt %
% % Company: KU Leuven %
% % Contact: [email protected]; [email protected] %
% % Version: 1.3 %
% % %
% % An Scope class to analyse scope signals %
% % Readable files: isf, csv %
% % %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % FUNCTIONS (static) *Object creation* %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % %
% % usage: objScope = scope.function(var1, var2, ...) %
% % %
% % isfread( Reading scope signals from an ISF file %
% % file, Filename + extension as String %
% % verbose) Integer to enable verbose mode %
% % %
% % csvread( DEPRECATED! Reading from a CSV file %
% % file, Filename + extension as String %
% % channels, Array of strings refering to channels %
% % verbose, Integer to enable verbose mode %
% % retime) Calculate more accurate timestamps %
% % %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % FUNCTIONS (non-static) %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % %
% % usage: result = objScope.function(var1, var2, ...) %
% % note: most functions do not alter the original scope object, %
% % but return a new object with the function results %
% % %
% % values( Returning the values of a channel %
% % channels) Array of strings refering to channels %
% % returns: matrix of the requested values %
% % %
% % split( Splitting 1 scope object into 2 (a and b) %
% % channels_a, Array of strings refering to channels %
% % channels_b) Array of strings refering to channels %
% % returns: [objScope1, objScope2] %
% % %
% % downsample( Lowering the amount of sample rate %
% % samples, The new number of samples %
% % verbose) Integer to enable verbose mode %
% % returns: downsampled scope object %
% % %
% % remove( Removing channels from a Scope object %
% % channels, Array of strings refering to channels %
% % verbose) Integer to enable verbose mode %
% % returns: scope object without the removed channels %
% % %
% % noisefilter( Filters noise from requested channels %
% % values, The input values you want to filter %
% % threshold, Threshold value to be filtered %
% % verbose) Integer to enable verbose mode %
% % returns: filtered output values %
% % %
% % bandstop( Filtering by frequencybands %
% % values, The input values you want to filter %
% % freq, Array of frequentybands to be filtered%
% % verbose) Integer to enable verbose mode %
% % returns: filtered output values %
% % %
% % scale( Scaling values of the requested channels %
% % channels, Array of strings refering to channels %
% % target, Target value to which to scale to %
% % verbose) Integer to enable verbose mode %
% % returns: nothing, results directly applied on scope object%
% % %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % %
% % VERBOSE MODE: (default=-1) %
% % all static functions check for a verbose variable %
% % to enable or disable display output to the console %
% % %
% % verbose == 0; % Display output disabled %
% % verbose == -1; % Display output enabled for all nested functions %
% % verbose == x; % Display output enabled for x nested functions %
% % %
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
classdef scope
properties
model, ...
firmware_version, ...
waveform_type, ...
point_format, ...
horizontal_units, ...
horizontal_scale, ...
horizontal_delay, ...
sample_interval,...
filter_frequency, ...
record_length, ...
sample_length, ...
gating, ...
gating_min, ...
gating_max, ...
probe_attenuation, ...
vertical_units, ...
vertical_offset, ...
vertical_scale, ...
vertical_position, ...
time, ...
channels, ...
value
end
methods
function obj = scope(model)
obj.model = model;
end
function result = values(obj,str)
for i=1:length(obj.channels)
if(strcmp(str,obj.channels{i}))
result = obj.value{i};
end
end
end
% function fft(obj,str)
% if(~exist('strength','var'));strength=0.0001;end;
% for i=1:length(obj.channels)
% if(strcmp(str,obj.channels{i}))
% F = fft(obj.value{i});
% end
% end
% end
function [obj1,obj2] = split(obj,channels1,channels2)
obj1 = obj;
obj2 = obj;
obj1.channels = {};
obj2.channels = {};
obj1.value = {};
obj2.value = {};
k1 = 1;
k2 = 1;
for i=1:length(obj.channels)
for j=1:length(channels1)
if(strcmp(channels1(j),obj.channels{i}))
obj1.channels{k1}=obj.channels{i};
obj1.value{k1}=obj.value{i};
k1 = k1+1;
end
end
for j=1:length(channels2)
if(strcmp(channels2(j),obj.channels{i}))
obj2.channels{k2}=obj.channels{i};
obj2.value{k2}=obj.value{i};
k2 = k2+1;
end
end
end
end
function obj = downsample(obj,samples,verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if(~exist('samples','var'));return;end;
n = obj.sample_length/samples;
if(n>1 && mod(n,1)==0)
newobj = obj;
newobj.sample_interval = n*obj.sample_interval;
newobj.sample_length = obj.sample_length/n;
obj.time = mean(reshape(obj.time,n,[]));
for i=1:length(obj.channels)
obj.value{i} = mean(reshape(obj.value{i},n,[]));
end
else
error('Impossible downsample');
end
end
function obj = remove(obj,channels,verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if(~exist('channels','var'));return;end;
for j=1:length(channels)
for i=length(obj.channels):-1:1
if(strcmp(channels(j),obj.channels(i)))
obj.channels(i)=[];
obj.value(i)=[];
end
end
end
end
function Y = noisefilter(obj,X,threshold,verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if(~exist('threshold','var'));threshold=0.0001;end;
% Initial Values
Fs = 1/obj.sample_interval; % Sampling frequency
T = 1/Fs; % Sampling period
L = obj.sample_length; % Length of signal
F = fft(X);
P1 = abs(F/L);
F(P1<threshold)=0;
Y = ifft(F);
if(verbose)
figure;
P2 = abs(fft(Y)/L);
ax = plt.getaxis(obj.time,[X,Y]);
subplot(2,1,1);
plt(obj.time,X,'downsample',1e6,color.ch1);
title('Original signal');
xlabel('t(s)');
ylabel('X(t)');
axis(ax);
subplot(2,1,2);
plt(obj.time,Y,'downsample',1e6,color.ch1);
title('Filtered signal');
xlabel('t(s)');
ylabel('X(t)');
axis(ax);
figure;
f = Fs*(0:ceil(L/2))/L;
subplot(2,1,1);
P1 = P1(1:ceil(L/2)+1);
ax = [1 max(f) min(P1(P1>10^(-10))) 1];
loglog(f,P1,color.ch2);
title('Single-Sided Amplitude Spectrum of P1(t)');
xlabel('f (Hz)');
ylabel('|P1(f)|');
axis(ax);
subplot(2,1,2);
P2 = P2(1:ceil(L/2)+1);
loglog(f,P2,color.ch2);
title('Single-Sided Amplitude Spectrum of P2(t)');
xlabel('f (Hz)');
ylabel('|P2(f)|');
axis(ax);
end
end
function Y = bandstop(obj,X,freq,verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if(verbose);tic;end;
if(~exist('freq','var')); Y=X; warn('No frequency range given, returned without filtering');return;end;
if(size(freq,2) ~= 2); Y=X; warn('Frequency range invalid, returned without filtering');return;end;
% Initial Values
Fs = 1/obj.sample_interval; % Sampling frequency
L = obj.sample_length; % Length of signal
F = fft(X);
P1 = F;
for i = 1:size(freq,1)
locmin([1,2]) = round(freq(i,1)*L/Fs)+1;
locmax([1,2]) = round(freq(i,2)*L/Fs)+1;
if(locmin(1)<1);locmin(1)=1;end;
if(locmax(1)<1);locmax(1)=1;end;
if(locmin(2)<2);locmin(2)=2;end;
if(locmax(2)<2);locmax(2)=2;end;
if(locmin(1)>length(F)/2);locmin(1)=round(length(F)/2);end;
if(locmax(1)>length(F)/2);locmax(1)=round(length(F)/2);end;
if(locmin(2)>length(F)/2);locmin(2)=round(length(F)/2);end;
if(locmax(2)>length(F)/2);locmax(2)=round(length(F)/2);end;
L1 = locmin(1):locmax(1);
L2 = length(F)-(locmax(2)-2):length(F)-(locmin(2)-2);
F(L1) = 0;
F(L2) = 0;
end
Y = real(ifft(F));
if(verbose)
toc
P1 = abs(P1/L);
P2 = abs(fft(Y)/L);
figure;
%ax = plt(obj.time,[X,Y]);
subplot(2,1,1);
plt(obj.time,X,'downsample',1e5,color.ch1);
title('Original signal');
xlabel('t(s)');
ylabel('X(t)');
%axis(ax);
subplot(2,1,2);
plt(obj.time,Y,'downsample',1e5,color.ch1);
title('Filtered signal');
xlabel('t(s)');
ylabel('X(t)');
%axis(ax);
figure;
f = Fs*(0:ceil(L/2))/L;
subplot(2,1,1);
P1 = P1(1:ceil(L/2)+1);
ax = [1 max(f) min(P1(P1>10^(-10))) 1];
loglog(f,P1,color.ch2);
title('Single-Sided Amplitude Spectrum of P1(t)');
xlabel('f (Hz)');
ylabel('|P1(f)|');
axis(ax);
subplot(2,1,2);
P2 = P2(1:ceil(L/2)+1);
loglog(f,P1,color.lightgrey);
axis(ax);
hold on;
loglog(f,P2,color.ch2);
title('Single-Sided Amplitude Spectrum of P2(t)');
xlabel('f (Hz)');
ylabel('|P2(f)|');
axis(ax);
hold off;
end
end
function Y = getValues(obj,channel)
if(~exist('channel','var'));error('No channel selected');end;
if(isnumeric(channel))
Y = obj.value{channel};
else
Y = obj.values(channel);
end
end
function scale(obj,str,target)
if(~exist('pass','var'));target=0;end;
for i=1:length(obj.channels)
if(strcmp(str,obj.channels{i}))
YS = sort(obj.value{i},1, 'ascend');
fault = mean(YS(1:ceil(0.03*size(YS,1))))-target;
obj.value{i} = obj.value{i} - fault;
end
end
end
end
methods (Static)
function obj = isfread(file, verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if ~exist('file', 'var')
error('No file name, directory or pattern was specified.');
end
% Check whether file is a folder.
if( exist(file, 'dir') )
folder = file;
% Get a list of all files that have the extension '.isf' or '.ISF'.
files = [ dir(fullfile(folder, '*.isf')) ];
else
% The pattern is not a folder, so must be a file name or a pattern with
% wildcards (such as 'Traces/TEK0*.ISF').
[folder, ~, ~] = fileparts(file);
% Get a list of all files and folders which match the pattern...
filesAndFolders = dir(file);
% ...then exclude the folders, to get just a list of files.
files = filesAndFolders(~[filesAndFolders.isdir]);
end
fileNames = {files.name};
datetimes = datestr([files.datenum]);
if numel(fileNames)==0
error('The pattern did not match any file or files: %s', file);
end
obj = scope('Unknown (ISF)');
obj.firmware_version = 'Unknown (ISF)';
for s=1:numel(fileNames)
fileName = fileNames{s};
fullFileName = fullfile(folder, fileName);
% Check the file exists.
if( ~exist(fullFileName, 'file') )
error('The file does not exist: %s', fullFileName);
end
% Open the file.
fileID = fopen( fullfile(folder, fileName), 'r');
if (fileID == -1)
error('The file exists, but could not be opened: %s', fullFileName);
end
% Read the text header into a variable called 'h'. The loop reads the
% file character-by-character into h until h finishes with the
% characters ":CURVE #" or ":CURV #".
h = '';
while( isempty( regexp(h, ':CURVE? #', 'once') ) )
% If the end of the file has been reached something is wrong.
if( feof(fileID) )
error('The end of the file %s was reached whilst still reading the header. This suggests that it is not a Tektronix ISF file.', fileName);
end
c = char(fread(fileID, 1, 'char') );
h = [h, c];
end
if s==1
obj.waveform_type = char(regexp(h, 'WFMTYP?E?\s+(.*?)\s*[;:]', 'once', 'tokens'));
obj.point_format = char(regexp(h, 'PT_FM?T?\s+(.*?)\s*[;:]', 'once', 'tokens'));
obj.horizontal_units = char(regexp(h, 'XUNI?T?\s+"*(.*?)"*[;:]', 'once', 'tokens'));
obj.horizontal_scale = str2double(regexp(h, 'HSCAL?E?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
obj.horizontal_delay = str2double(regexp(h, 'HDELA?Y?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
obj.sample_interval = str2double(regexp(h, 'XINC?R?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
obj.record_length = 'Unknown (ISF)';
obj.gating = 'Unknown (ISF)';
obj.gating_min = 'Unknown (ISF)';
obj.gating_max = 'Unknown (ISF)';
obj.sample_length = str2double(regexp(h, 'NR_PT?\s+(\d+)', 'once', 'tokens'));
else
if obj.waveform_type ~= char(regexp(h, 'WFMTYP?E?\s+(.*?)\s*[;:]', 'once', 'tokens'))
error('Waveform Type does not match');
end
if obj.point_format ~= char(regexp(h, 'PT_FM?T?\s+(.*?)\s*[;:]', 'once', 'tokens'));
error('Point Format does not match');
end
if obj.horizontal_units ~= char(regexp(h, 'XUNI?T?\s+"*(.*?)"*[;:]', 'once', 'tokens'));
error('Horizontal Units do not match');
end
if obj.horizontal_scale ~= str2double(regexp(h, 'HSCAL?E?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
error('Horizontal Scale does not match');
end
if obj.horizontal_delay ~= str2double(regexp(h, 'HDELA?Y?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
error('Horizontal Delay does not match');
end
if obj.sample_length ~= str2double(regexp(h, 'NR_PT?\s+(\d+)', 'once', 'tokens'));
error('Sample Length does not match');
end
if obj.sample_interval ~= str2double(regexp(h, 'XINC?R?\s+([-\+\d\.eE]+)', 'once', 'tokens'));
error('Sample Interval does not match');
end
end
% In addition, some header fields are described in the Programmer
% Manual, but do not seem to appear in any of my files: XMULT, XOFF,
% XZERO, ZMULT, ZOFF, ZUNIT and ZZERO.
% Check that at least some part of the header was parsed.
if isempty(str2double(regexp(h, 'BYT_NR?\s+(\d+)', 'once', 'tokens')))
warn('Failed to read some part of, or possibly all of, the header in the file %s.', fileName);
end
BYT_N = str2double(regexp(h, 'BYT_NR?\s+"*(.*?)"*[;:]', 'once', 'tokens'));
BIT_N = str2double(regexp(h, 'BIT_NR?\s+"*(.*?)"*[;:]', 'once', 'tokens'));
% The next few characters in the file give the number of bytes in the
% waveform data. The first digit, referred to as 'x' on page 2-60 of
% the Programmer Manual, gives the number of bytes that immediately
% follow giving the value 'y', where 'y' is the number of bytes in the
% waveform. The manual explains it better than I can.
xBytes = str2double(char(fread(fileID, 1, 'char')));
yBytes = str2double(char(fread(fileID, xBytes, 'char')));
% For some reason there is an offset of 1 byte in reading the data
% files. I don't know why, but I found I could fix it by moving the
% file position back by one byte.
fseek(fileID, -1, 'cof');
% Read the waveform.
% For some oscilloscopes it may be necessary to add 'ieee-be' to the
% fread statement below. See the comments here:
% http://www.mathworks.co.uk/matlabcentral/fileexchange/6247-isfread
if(BYT_N == 2 && BIT_N == 16)
[binaryData, count] = fread(fileID, yBytes/2, 'int16');
elseif (BYT_N == 1 && BIT_N == 8)
[binaryData, count] = fread(fileID, yBytes, 'int8');
else
error(['BYT_N ' num2str(BYT_N) ' BIT_N ' num2str(BIT_N) ' - Unknown ISF structure']);
end
% Check that the expected number of points have been read.
if(count ~= obj.sample_length)
error('According to the header, the file %s contains %d points, but only %d were read.', fileName, obj.sample_length, count);
end
% Check that there is no leftover data. I found that there generally
% is.
if( ~feof(fileID) )
warn('All expected data was read from %s, but there still appears to be data remaining.', fileName);
end
% Calculate the horizontal (x) and vertical (y) values. These equations
% are given on page 2-171 of the Programmer Manual.
n = (1:obj.sample_length)';
if s==1
obj.time = (obj.sample_interval * (n - str2double(regexp(h, 'PT_OF?F?\s+([-\+\d\.eE]+)', 'once', 'tokens'))))' - obj.horizontal_delay;
end
obj.channels{s} = char(regexp(h, 'WFID?\s+"*\s*(.*?)\s*"*[;:]', 'once', 'tokens'));
obj.value{s} = (str2double( regexp(h, 'YZER?O?\s+([-\+\d\.eE]+)', 'once', 'tokens')) + str2double(regexp(h, 'YMUL?T?\s+([-\+\d\.eE]+)', 'once', 'tokens')) * (binaryData - str2double(regexp(h, 'YOFF?\s+([-\+\d\.eE]+)', 'once', 'tokens'))))';
% Close the file
fclose(fileID);
end
end
function obj = wfmread(file, verbose)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if ~exist('file', 'var')
error('No file name, directory or pattern was specified.');
end
% Check whether file is a folder.
if( exist(file, 'dir') )
folder = file;
% Get a list of all files that have the extension '.isf' or '.ISF'.
files = [ dir(fullfile(folder, '*.isf')) ];
else
% The pattern is not a folder, so must be a file name or a pattern with
% wildcards (such as 'Traces/TEK0*.ISF').
[folder, ~, ~] = fileparts(file);
% Get a list of all files and folders which match the pattern...
filesAndFolders = dir(file);
% ...then exclude the folders, to get just a list of files.
files = filesAndFolders(~[filesAndFolders.isdir]);
end
fileNames = {files.name};
datetimes = datestr([files.datenum]);
if numel(fileNames)==0
error('The pattern did not match any file or files: %s', file);
end
obj = scope('Unknown (WFM)');
obj.firmware_version = 'Unknown (WFM)';
for s=1:numel(fileNames)
fileName = fileNames{s};
fullFileName = fullfile(folder, fileName);
% Check the file exists.
if( ~exist(fullFileName, 'file') )
error('The file does not exist: %s', fullFileName);
end
% Read the file.
[y, t, info] = wfm2read(fullFileName);
obj.waveform_type = info.versioning_number;
obj.sample_interval = 1/info.samplingrate;
obj.record_length = 'Unknown (WFM)';
obj.gating = 'Unknown (WFM)';
obj.gating_min = 'Unknown (WFM)';
obj.gating_max = 'Unknown (WFM)';
obj.sample_length = info.nop;
obj.time = t';
obj.channels{s} = 'CH1';
obj.value{s} = y';
end
end
function obj = csvread(file,channels,verbose,retime)
if(~exist('verbose','var'));verbose=-1;warn('All underlying functions are executed in verbose mode');end;
if(~exist('retime','var'));retime=1;end;
if(~exist('channels','var'));channels={'CH1','CH2','CH3','CH4'};end;
if(isempty(channels));channels={'CH1','CH2','CH3','CH4'};end;
if(~exist('file','var'))
% Ask user for file name
% check if file exists
end
fid = fopen(file);
cell = textscan(fid, '%*s %s %*s %f', 1, 'delimiter', {',','\n'}, 'headerlines', 0);
obj = scope(cell{1}{1});
if strcmp(obj.model,'DPO4054B')
%% DPO4054B
obj.firmware_version = cell{2};
if(verbose);disp('Reading waveform of Tektronix DPO4054B');end;
DPO4054B_supp_fw = [3.16 3.18 3.20];
if sum(obj.firmware_version==DPO4054B_supp_fw) == 0
if(verbose);warn(['Unsupported version (' num2str(obj.firmware_version) ')']);end;
fclose(fid);
return;
end
cell = textscan(fid, '%s', 8, 'delimiter', {'\n'}, 'headerlines', 1);cell=cell{1};
[ans cell] = strtok(cell,',');
cell = strtok(cell,',');
obj.waveform_type = cell{1};
obj.point_format = cell{2};
obj.horizontal_units = cell{3};
obj.horizontal_scale = str2double(cell{4});
obj.horizontal_delay = str2double(cell{5});
obj.sample_interval = str2double(cell{6});
obj.record_length = str2double(cell{7});
obj.gating = cell{8};
cell = textscan(obj.gating , '%f %f', -1, 'delimiter', {' to ','%'});cell=cell{1};
obj.gating_min = cell(1);
obj.gating_max = cell(2);
obj.sample_length = obj.record_length*((obj.gating_max-obj.gating_min)/100);
cell = textscan(fid, '%s', 10, 'delimiter', {'\n'}, 'headerlines', 0);cell=cell{1};
cell_channels = textscan(cell{10}, '%s', -1, 'delimiter', {','});cell_channels=cell_channels{1};
fclose(fid);
data = csvread(file,21,0)';
obj.time = data(1,1:obj.sample_length);
if(retime)
%retime
[minV,minID] = min(abs(obj.time));
low = minV-(minID-1)*obj.sample_interval;
high = low + obj.sample_length*obj.sample_interval;
obj.time = linspace(low,high,obj.sample_length);
end
k=1;
for j=1:length(channels)
for i=1:length(cell_channels)
if(strcmp(channels{j},cell_channels{i}))
obj.channels{k} = cell_channels{i};
obj.value{k} = data(i,1:obj.sample_length);
k=k+1;
end
end
end
elseif strcmp(obj.model,'DPO2024')
%% DPO2024
obj.firmware_version = cell{2};
if(verbose);disp('Reading waveform of Tektronix DPO2024');end;
if obj.firmware_version ~= 1.52
if(verbose);warn(['Unsupported version (' num2str(obj.firmware_version) ')']);end;
fclose(fid);
return;
end
cell = textscan(fid, '%*s %s %*s', 7, 'delimiter', {',','\n'}, 'headerlines', 1);cell=cell{1};
obj.point_format = cell{1};
obj.horizontal_units = str2double(cell{2});
obj.horizontal_scale = str2double(cell{3});
obj.sample_interval = str2double(cell{4});
obj.filter_frequency = str2double(cell{5});
obj.record_length = str2double(cell{6});
obj.gating = cell{7};
cell = textscan(obj.gating , '%f %f', -1, 'delimiter', {' to ','%'});cell=cell{1};
obj.gating_min = cell(1);
obj.gating_max = cell(2);
obj.sample_length = obj.record_length*((obj.gating_max-obj.gating_min)/100);
cell = textscan(fid, '%s', 6, 'delimiter', {'\n'}, 'headerlines', 0);cell=cell{1};
cell_channels = textscan(cell{6}, '%s', -1, 'delimiter', {','});cell_channels=cell_channels{1};
fclose(fid);
data = csvread(file,16,0)';
obj.time = data(1,1:obj.sample_length);
if(retime)
%retime
[minV,minID] = min(abs(obj.time));
low = minV-(minID-1)*obj.sample_interval;
high = low + obj.sample_length*obj.sample_interval;
obj.time = linspace(low,high,obj.sample_length);
end
k=1;
for j=1:length(channels)
for i=1:length(cell_channels)
if(strcmp(channels{j},cell_channels{i}))
obj.channels{k} = cell_channels{i};
obj.value{k} = data(i,1:obj.sample_length);
k=k+1;
end
end
end
else
if(verbose);warn(['Unsupported scope (' num2str(obj.model) ')']);end;
fclose(fid);
end
end
end
end