diff core/magnatagatune/MTTRandomFeature.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/core/magnatagatune/MTTRandomFeature.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,71 @@
+% --
+% This class loads and hanles the aufdio features included with the MTT
+% Library
+% --- 
+classdef MTTRandomFeature < MTTAudioFeature & handle
+    
+    properties(Constant = true)
+        
+        my_revision = str2double(substr('$Rev: 167 $',  5, -1));
+    end
+    
+    properties
+        
+        % ---
+        % Set default parameters
+        % ---
+        my_params = struct(...
+            'nrandoms', 100 ...
+            );
+    end
+    % ---
+    % member functions
+    % ---
+    methods
+        
+        % ---
+        % constructor: pointer to feature in database
+        % ---
+        function feature = MTTRandomFeature(varargin)
+
+            feature = feature@MTTAudioFeature(varargin{:});
+        end
+        
+        % ---
+        % load feature data from xml file
+        % ---
+        function data = extract(feature, clip)
+        % load feature data by parsing xml
+            
+            global globalvars;
+        
+            % fprintf('parsing features for clip %d \n',clip.id());
+            
+            % parse feature
+            data.random = rand(feature.my_params.nrandoms, 1);
+
+            % save info data
+            data.info.type = 'MTTRandomFeature';
+            data.info.owner_id = clip.id;
+            data.info.creatorrev = feature.my_revision;
+            
+            % save param data
+            data.info.params = feature.my_params;
+            
+            % prepare field for final features
+            data.final.vector = data.random;
+            data.final.dim = numel(data.final.vector);
+             
+            info = {'random'};
+            info(2:data.final.dim) = num2cell(2:data.final.dim);
+            data.final.vector_info.labels = info;
+        end
+                
+        function  visualise(feature)
+        % ---
+        % plots the different data types collected in this feature
+        % ---
+
+        end
+    end
+end