comparison matlab/MATLAB-Chroma-Toolbox_2.0/smoothDownsampleFeature.m @ 0:b54ee0a0be67

Import MATLAB Chroma Toolbox

+function [f_feature_stat,newFeatureRate] = smoothDownsampleFeature(f_feature,parameter)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Name: smoothDownsampleFeature
+% Date of Revision: 2011-03
+% Programmer: Meinard Mueller, Sebastian Ewert
+%
+% Description:
+% - Temporal smoothing and downsampling of a feature sequence
+%
+% Remark:
+% - parameter.featureRate specifies the input feature rate. This value is
+% used to derive the output feature rate.
+%
+% Input:
+%         f_feature
+%         parameter.winLenSmooth = 1;
+%         parameter.downsampSmooth = 1;
+%         parameter.inputFeatureRate = 0;
+%
+% Output:
+%         f_feature
+%         newFeatureRate
+%
+% License:
+%     This file is part of 'Chroma Toolbox'.
+% 
+%     'Chroma Toolbox' is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 2 of the License, or
+%     (at your option) any later version.
+% 
+%     'Chroma Toolbox' is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+% 
+%     You should have received a copy of the GNU General Public License
+%     along with 'Chroma Toolbox'. If not, see <http://www.gnu.org/licenses/>.
+% 
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Check parameters
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+if nargin<2
+    parameter=[];
+end
+if nargin<1
+    error('Please specify input data');
+end
+if isfield(parameter,'winLenSmooth')==0
+    parameter.winLenSmooth = 1;
+end
+if isfield(parameter,'downsampSmooth')==0
+    parameter.downsampSmooth = 1;
+end
+if isfield(parameter,'inputFeatureRate')==0
+    parameter.inputFeatureRate = 0;
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Main program
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+% Temporal Smoothing
+if (parameter.winLenSmooth ~= 1) || (parameter.downsampSmooth ~= 1)
+    winLenSmooth = parameter.winLenSmooth;
+    downsampSmooth = parameter.downsampSmooth;
+    stat_window = hanning(winLenSmooth);
+    stat_window = stat_window/sum(stat_window);
+    
+    % upfirdn filters and downsamples each column of f_stat_help
+    f_feature_stat = zeros(size(f_feature));
+    f_feature_stat = (upfirdn(f_feature',stat_window,1,downsampSmooth))';
+    seg_num = size(f_feature,2);
+    stat_num = ceil(seg_num/downsampSmooth);
+    cut = floor((winLenSmooth-1)/(2*downsampSmooth));
+    f_feature_stat = f_feature_stat(:,(1+cut:stat_num+cut));            %adjust group delay
+else
+    f_feature_stat = f_feature;
+end
+
+newFeatureRate = parameter.inputFeatureRate / parameter.downsampSmooth;
+
+end
+