Find time offset that best lines up two position curves using appdesigner
% I have time histories of position (time, X, Y) from two different sources (KTM and RNET). Both sources have the target goin over about the same path, but % % there appears to be a time offset. I want to find the time offset to that best lines up the data for comparison.
properties (Access = private)
RNETTable
KTMTable
end
methods (Access = public)
% time histories from two sources
% are stored in tables
% SSDelta applies a time shift (dTime) to one time history of position
% (time, X, Y) and computes the sum of the square of the
% differences of the X and Y components
function SSD = SSDelta(app,dTime)
% apply time shift to one source
RSOD=app.RNETTable{:,’SOD’}+dTime;
% interpolate the X and Y data from RNET to times of the KTM
% since they are not synchronized and compute the sum of the
% squares of the differences
DX=interp1(RSOD(:),app.RNETTable{:,’Xnb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’x_m_’};
DX=DX.*DX;
DY=interp1(RSOD,app.RNETTable{:,’Ynb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’y_m_’};
DY=DY.^2;
%return the sum of the squares of the differences
SSD=sum(DX)+sum(DY);
end
end
% From a push button function callback, I use fminbnd to determine the time offset that results in the
% minimum sum of the squares of the differences
dTime=fminbnd(@SSDelta,-20.0,20.0);
% I get the error
Undefined function ‘SSDelta’ for input arguments of type ‘double’.
Error in fminbnd (line 238)
fx = funfcn(x,varargin{:});
% I am open to an alternate approach, although I have a number of these, so I would like to use appdesigner% I have time histories of position (time, X, Y) from two different sources (KTM and RNET). Both sources have the target goin over about the same path, but % % there appears to be a time offset. I want to find the time offset to that best lines up the data for comparison.
properties (Access = private)
RNETTable
KTMTable
end
methods (Access = public)
% time histories from two sources
% are stored in tables
% SSDelta applies a time shift (dTime) to one time history of position
% (time, X, Y) and computes the sum of the square of the
% differences of the X and Y components
function SSD = SSDelta(app,dTime)
% apply time shift to one source
RSOD=app.RNETTable{:,’SOD’}+dTime;
% interpolate the X and Y data from RNET to times of the KTM
% since they are not synchronized and compute the sum of the
% squares of the differences
DX=interp1(RSOD(:),app.RNETTable{:,’Xnb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’x_m_’};
DX=DX.*DX;
DY=interp1(RSOD,app.RNETTable{:,’Ynb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’y_m_’};
DY=DY.^2;
%return the sum of the squares of the differences
SSD=sum(DX)+sum(DY);
end
end
% From a push button function callback, I use fminbnd to determine the time offset that results in the
% minimum sum of the squares of the differences
dTime=fminbnd(@SSDelta,-20.0,20.0);
% I get the error
Undefined function ‘SSDelta’ for input arguments of type ‘double’.
Error in fminbnd (line 238)
fx = funfcn(x,varargin{:});
% I am open to an alternate approach, although I have a number of these, so I would like to use appdesigner % I have time histories of position (time, X, Y) from two different sources (KTM and RNET). Both sources have the target goin over about the same path, but % % there appears to be a time offset. I want to find the time offset to that best lines up the data for comparison.
properties (Access = private)
RNETTable
KTMTable
end
methods (Access = public)
% time histories from two sources
% are stored in tables
% SSDelta applies a time shift (dTime) to one time history of position
% (time, X, Y) and computes the sum of the square of the
% differences of the X and Y components
function SSD = SSDelta(app,dTime)
% apply time shift to one source
RSOD=app.RNETTable{:,’SOD’}+dTime;
% interpolate the X and Y data from RNET to times of the KTM
% since they are not synchronized and compute the sum of the
% squares of the differences
DX=interp1(RSOD(:),app.RNETTable{:,’Xnb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’x_m_’};
DX=DX.*DX;
DY=interp1(RSOD,app.RNETTable{:,’Ynb’},app.KTMTable{:,’SOD’})-app.KTMTable{:,’y_m_’};
DY=DY.^2;
%return the sum of the squares of the differences
SSD=sum(DX)+sum(DY);
end
end
% From a push button function callback, I use fminbnd to determine the time offset that results in the
% minimum sum of the squares of the differences
dTime=fminbnd(@SSDelta,-20.0,20.0);
% I get the error
Undefined function ‘SSDelta’ for input arguments of type ‘double’.
Error in fminbnd (line 238)
fx = funfcn(x,varargin{:});
% I am open to an alternate approach, although I have a number of these, so I would like to use appdesigner function minimum, appdesigner, data comparison MATLAB Answers — New Questions
