Mercurial > hg > smallbox
view examples/SMALL_solver_test_Audio.m @ 152:485747bf39e0 ivand_dev
Two step dictonary learning - Integration of the code for dictionary update and dictionary decorrelation from Boris Mailhe
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Thu, 28 Jul 2011 15:49:32 +0100 |
parents | 8e660fd14774 |
children | 855025f4c779 |
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function SMALL_solver_test_Audio %% Example test of solvers on Sparco audio source separation problems % % The main purpose of this example is to show how to use SMALL structure % to solve SPARCO audio source3 separation problems (401-402) and to % compare results from different solvers. % To generate SMALL.Problem part of structure you can use generateProblem % function from Sparco toolbox giving the problem number and any % additional parameters you might want to change. Alternatively, you can % might want to consult sparco documentation to write a problem by % yourself. There are four fields the must be specified in SMALL.Problem % - A, b, sizeA and reconstruct. % % To generate SMALL.solver part of the structure you must specify three % fields: % % SMALL.solver.toolbox - string with toolbox name is needed because % different toolboxes are calling solver % functions in different ways. % SMALL.solver.name - its string representing solver name (e.g. % SolveBP) % SMALL.solver.param - string that contains optional parameters for % particular solver (all parameters you want to % specify except A, b and size of solution) % % Every call to SMALL_solve function will generate following output: % % SMALL.solver.solution - contains solution vector x % SMALL.solver.reconstructed - vector containing signal reconstructed % from the solution % SMALL.solver.time - time that solver spent to find the solution % % SMALL_plot function plots the SMALL.solver.solution and reconstructed % sources against original audio sources. % SMALL_playAudio function plays audio sources of original and % reconstructed signal as well as mixed signal. % % Centre for Digital Music, Queen Mary, University of London. % This file copyright 2009 Ivan Damnjanovic. % % This program 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. See the file % COPYING included with this distribution for more information. %% fprintf('\n\nExample test of solvers on Sparco Audio problems (401,402).\n\n'); %% % Generate SPARCO problem global SMALL SMALL.Problem = generateProblem(402,'show'); %% i=1; %% % SMALL Conjugate Gradient test SMALL.solver(i)=SMALL_init_solver; SMALL.solver(i).toolbox='SMALL'; SMALL.solver(i).name='SMALL_cgp'; % In the following string all parameters except matrix, measurement vector % and size of solution need to be specified. If you are not sure which % parameters are needed for particular solver type "help <Solver name>" in % MATLAB command line SMALL.solver(i).param='1500, 1e-14'; SMALL.solver(i)=SMALL_solve(SMALL.Problem, SMALL.solver(i)); i=i+1; %% % SolveOMP from SparseLab test SMALL.solver(i)=SMALL_init_solver; SMALL.solver(i).toolbox='SparseLab'; SMALL.solver(i).name='SolveBP'; % In the following string all parameters except matrix, measurement vector % and size of solution need to be specified. If you are not sure which % parameters are needed for particular solver type "help <Solver name>" in % MATLAB command line SMALL.solver(i).param='10'; SMALL.solver(i)=SMALL_solve(SMALL.Problem, SMALL.solver(i)); SMALL_plot(SMALL); SMALL_playAudio(SMALL); %% end % function SMALL_solver_test