Mercurial > hg > ltpda
view m-toolbox/classes/@tsdata/tsdata.m @ 11:9174aadb93a5 database-connection-manager
Add LTPDA Repository utility functions into utils.repository
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
children |
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% TSDATA time-series object class constructor. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: TSDATA time-series object class constructor. % Create a time-series data object. If the time-series object % is determined to be evenly sampled, no x vector is stored. % % SUPER CLASSES: data2D < ltpda_data < ltpda_nuo < ltpda_obj % % CONSTRUCTORS: % % ts = tsdata() - creates a blank time-series object % ts = tsdata(y) - creates a time-series object with the given % y-data. % ts = tsdata(x,y) - creates a time-series object with the given % (x,y)-data. The sample rate is then set using % the private method fitfs(). This computes the % best sample rate that fits the data. If the % data is evenly sampled, the sample rate is set % as 1/median(diff(x)) and the x data is then % not stored (empty vector). % ts = tsdata(y,fs) - creates a time-series object with the given % y-data. The data is assumed to be evenly sampled % at the given sample rate with the first sample % assigned time 0. No x vector is created. % ts = tsdata(y,t0) - creates a time-series object with the given % y-data. The data are assumed to be evenly % sampled at 1Hz. The first sample is assumed to % be at 0s offset from t0 and t0 is set to the % user specified value. % ts = tsdata(x,y,fs) - creates a time-series object with the given % x/y data vectors. The sample rate is set to % fs. % ts = tsdata(x,y,t0) - creates a time-series object with the given % x/y data vectors. The t0 property is set to % the supplied t0 and the sample rate is % computed from the x vector using fitfs(). If % the data is found to be evenly sampled, the % x vector is discarded. % ts = tsdata(y,fs,t0) - creates a time-series object with the given % y-data. The data are assumed to be evenly % sampled at fs and the first sample is % assumed to be taken at time t0. No x vector % is generated. % ts = tsdata(x,y,fs,t0)-creates a time-series object with the given % x-data, y-data, fs and t0. % % VERSION: $Id: tsdata.m,v 1.86 2011/11/04 21:11:48 mauro Exp $ % % SEE ALSO: tsdata, fsdata, xydata, cdata, data2D, data3D, xyzdata % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% classdef (Hidden = true) tsdata < data2D %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Property definition % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %---------- Public (read/write) Properties ---------- properties end %---------- Protected read-only Properties ---------- properties (GetAccess = public, SetAccess = protected) t0 = time(0); % time-stamp of the first data sample in UTC format toffset = 0; % time offset from t0 to the first data sample in milliseconds fs = NaN; % sample rate of data nsecs = 0; % the length of this time-series in seconds end %---------- Private Properties ---------- properties (GetAccess = protected, SetAccess = protected) end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Check property setting % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods function set.t0(obj, val) if (~isa(val, 'time') && ~ischar(val) && ~isnumeric(val))|| isempty(val) error('### The value for the property ''t0'' must be a string, a number or a time object'); end if ischar(val) || isnumeric(val) obj.t0 = time(val); else obj.t0 = val; end end function set.fs(obj, val) if ~isnumeric(val) || isempty(val) || ~isreal(val) || val < 0 error('### The value for the property ''fs'' must be a real positive number'); end obj.fs = val; end function set.nsecs(obj, val) if ~isnumeric(val) || isempty(val) || ~isreal(val) || val < 0 error('### The value for the property ''nsecs'' must be a real positive number'); end obj.nsecs = val; end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Constructor % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods function obj = tsdata(varargin) switch nargin case 0 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%% no inputs %%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% case 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%% one input %%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if isa(varargin{1}, 'tsdata') %%%%%%%%%% data = tsdata(tsdata-object) %%%%%%%%%% %----------- Copy tsdata Object %%%%%%%%%% obj = copy(varargin{1}, 1); elseif isstruct(varargin{1}) %%%%%%%%%% data = tsdata(struct) %%%%%%%%%% obj = fromStruct(obj, varargin{1}); elseif isnumeric(varargin{1}) %%%%%%%%%% data = tsdata(y-vector) %%%%%%%%%% %----------- y vector obj.setY(varargin{1}); obj.fs = 1; else error('### Unknown single argument constructor.'); end case 2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%% two input %%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if numel(varargin{1}) > numel(varargin{2}) && numel(varargin{2}) == 1 && ~isa(varargin{2}, 'time') %%%%%%%%%% data = tsdata(y-vector, fs) %%%%%%%%%% % tsdata(y,fs) obj.y = varargin{1}; obj.fs = varargin{2}; elseif isa(varargin{1}, 'org.apache.xerces.dom.DeferredElementImpl') && ... isa(varargin{2}, 'history') %%%%%%%%%% obj = tsdata(DOM node, history-objects) %%%%%%%%%% obj = fromDom(obj, varargin{1}, varargin{2}); elseif numel(varargin{1}) == numel(varargin{2}) %%%%%%%%%% data = tsdata(x-vector, y-vector) %%%%%%%%%% % tsdata(x,y) if numel(varargin{1}) > 1 [fs_fitfs,t0_fitfs,fitted] = tsdata.fitfs(varargin{1}); obj.fs = fs_fitfs; if fitted obj.setXY(varargin{1} - varargin{1}(1), varargin{2}); else obj.setY(varargin{2}); end obj.toffset = varargin{1}(1) * 1000; else obj.setXY(varargin{1} - varargin{1}(1), varargin{2}); obj.fs = 1; t0_fitfs = 0; obj.toffset = varargin{1}(1) * 1000; end obj.t0 = time(t0_fitfs); elseif isa(varargin{2}, 'time') %%%%%%%%%% data = tsdata(y-vector, t0) %%%%%%%%%% % tsdata(y,t0) obj.setY(varargin{1}); obj.fs = 1; obj.t0 = varargin{2}; else error('### Unknown two argument constructor.'); end case 3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%% three input %%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if numel(varargin{1}) == numel(varargin{2}) && numel(varargin{3}) == 1 && ~isa(varargin{3}, 'time') %%%%%%%%%% data = tsdata(x-vector, y-vector, fs) %%%%%%%%%% % tsdata(x,y,fs) obj.fs = varargin{3}; [fs_fitfs,t0_fitfs,fitted] = tsdata.fitfs(varargin{1}); obj.t0 = t0_fitfs; if fitted obj.setXY(varargin{1} - varargin{1}(1), varargin{2}); else if abs(fs_fitfs - obj.fs) > 2*eps(obj.fs) error('The requested sample rate (%g) does not match the sample rate computed from the input x values (%g)', obj.fs, fs_fitfs); end obj.setY(varargin{2}); end obj.toffset = varargin{1}(1) * 1000; elseif numel(varargin{1}) == numel(varargin{2}) && isa(varargin{3}, 'time') %%%%%%%%%% data = tsdata(x-vector, y-vector, t0) %%%%%%%%%% % tsdata(x,y,t0) [fs_fitfs,t0_fitfs,fitted] = tsdata.fitfs(varargin{1}); obj.fs = fs_fitfs; obj.t0 = varargin{3} + t0_fitfs; if fitted obj.setXY(varargin{1} - varargin{1}(1), varargin{2}); else obj.setY(varargin{2}); end obj.toffset = varargin{1}(1) * 1000; elseif numel(varargin{1}) > numel(varargin{2}) && isa(varargin{3}, 'time') %%%%%%%%%% data = tsdata(y-vector, fs, t0) %%%%%%%%%% % tsdata(y,fs,t0) obj.setY(varargin{1}); obj.fs = varargin{2}; obj.t0 = varargin{3}; else error('### Unknown three argument constructor.'); end case 4 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%% four input %%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if numel(varargin{1}) == numel(varargin{2}) && numel(varargin{3}) == 1 && isa(varargin{4}, 'time') %%%%%%%%%% data = tsdata(x-vector, y-vector, fs, t0) %%%%%%%%%% obj.fs = varargin{3}; [fs_fitfs,t0_fitfs,fitted] = tsdata.fitfs(varargin{1}); if fitted obj.setXY(varargin{1} - varargin{1}(1), varargin{2}); else if abs(fs_fitfs - obj.fs) > 2*eps(obj.fs) error('The requested sample rate (%g) does not match the sample rate computed from the input x values (%g)', obj.fs, fs_fitfs); end obj.setY(varargin{2}); end obj.toffset = varargin{1}(1) * 1000; obj.fs = fs_fitfs; obj.t0 = varargin{4}+t0_fitfs; else error('### Unknown four argument constructor.'); end otherwise error('### Unknown number of constructor arguments.'); end % Now we can set nsecs if ~isempty(obj.x) % Then we have unevenly sampled data and the data duration % is taken as x(end) - x(1); obj.setNsecs(obj.x(end)-obj.x(1) + 1/obj.fs); else if ~isempty(obj.y) % Then the data is evenly sampled and the % duration of the data is easily computed. Ndata = length(obj.y); obj.setNsecs(Ndata / obj.fs); end end end % End constructor end % End public methods %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (Public, hidden) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Hidden = true) varargout = attachToDom(varargin) end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (protected) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Access = protected) varargout = fromStruct(varargin) varargout = fromDom(varargin) end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (private) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Access = private) end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (static) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Static) varargout = fitfs(varargin) function out = VEROUT() out = '$Id: tsdata.m,v 1.86 2011/11/04 21:11:48 mauro Exp $'; end function ii = getInfo(varargin) ii = utils.helper.generic_getInfo(varargin{:}, 'tsdata'); end function out = SETS() out = {'Default'}; end function out = getDefaultPlist(set) switch lower(set) case 'default' out = plist(); otherwise error('### Unknown set [%s]', set'); end end function obj = initObjectWithSize(n,m) obj = tsdata.newarray([n m]); end end % End static methods %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (static, private) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Static, Access = private) end % End static, private methods %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Methods (static, hidden) % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% methods (Static = true, Hidden = true) varargout = loadobj(varargin) varargout = update_struct(varargin); end end % End classdef