wolffd@0: % --
wolffd@0: % This class loads and hanles the aufdio features included with the MTT
wolffd@0: % Library
wolffd@0: % --- 
wolffd@0: classdef MTTRandomFeature < MTTAudioFeature & handle
wolffd@0:     
wolffd@0:     properties(Constant = true)
wolffd@0:         
wolffd@0:         my_revision = str2double(substr('$Rev: 167 $',  5, -1));
wolffd@0:     end
wolffd@0:     
wolffd@0:     properties
wolffd@0:         
wolffd@0:         % ---
wolffd@0:         % Set default parameters
wolffd@0:         % ---
wolffd@0:         my_params = struct(...
wolffd@0:             'nrandoms', 100 ...
wolffd@0:             );
wolffd@0:     end
wolffd@0:     % ---
wolffd@0:     % member functions
wolffd@0:     % ---
wolffd@0:     methods
wolffd@0:         
wolffd@0:         % ---
wolffd@0:         % constructor: pointer to feature in database
wolffd@0:         % ---
wolffd@0:         function feature = MTTRandomFeature(varargin)
wolffd@0: 
wolffd@0:             feature = feature@MTTAudioFeature(varargin{:});
wolffd@0:         end
wolffd@0:         
wolffd@0:         % ---
wolffd@0:         % load feature data from xml file
wolffd@0:         % ---
wolffd@0:         function data = extract(feature, clip)
wolffd@0:         % load feature data by parsing xml
wolffd@0:             
wolffd@0:             global globalvars;
wolffd@0:         
wolffd@0:             % fprintf('parsing features for clip %d \n',clip.id());
wolffd@0:             
wolffd@0:             % parse feature
wolffd@0:             data.random = rand(feature.my_params.nrandoms, 1);
wolffd@0: 
wolffd@0:             % save info data
wolffd@0:             data.info.type = 'MTTRandomFeature';
wolffd@0:             data.info.owner_id = clip.id;
wolffd@0:             data.info.creatorrev = feature.my_revision;
wolffd@0:             
wolffd@0:             % save param data
wolffd@0:             data.info.params = feature.my_params;
wolffd@0:             
wolffd@0:             % prepare field for final features
wolffd@0:             data.final.vector = data.random;
wolffd@0:             data.final.dim = numel(data.final.vector);
wolffd@0:              
wolffd@0:             info = {'random'};
wolffd@0:             info(2:data.final.dim) = num2cell(2:data.final.dim);
wolffd@0:             data.final.vector_info.labels = info;
wolffd@0:         end
wolffd@0:                 
wolffd@0:         function  visualise(feature)
wolffd@0:         % ---
wolffd@0:         % plots the different data types collected in this feature
wolffd@0:         % ---
wolffd@0: 
wolffd@0:         end
wolffd@0:     end
wolffd@0: end