FAQ » History » Version 9

Ivan Damnjanovic, 2011-03-29 01:23 PM

1 1 Ivan Damnjanovic
h1. FAQ
2 1 Ivan Damnjanovic
3 1 Ivan Damnjanovic
h2. Q1: What is SMALLbox?
4 1 Ivan Damnjanovic
5 2 Ivan Damnjanovic
*A1:* *SMALLbox* is an evaluation framework for processing signals using adaptive sparse structured representations. SMALLbox is built within FP7 EU FET project called "SMALL" that is exploring new provably good methods to obtain inherently data-driven sparse models, which are able to cope with large-scale and complicated data. The main focus of research in the area of *sparse representations* is in developing reliable algorithms with provable performance and bounded complexity. There exist many applications for which it was proven beneficial to sparsely represent the data in some transform domain (i.e. "dictionary"). Moreover, the success of sparse models heavily depends on the choice of a “dictionary” to reflect the natural structures of a class of data. *Dictionary learning for sparse representation* deals with inferring such a dictionary from training data and is a key to the extension of sparse models for new exotic types of data.
6 2 Ivan Damnjanovic
SMALLbox provides an easy way to evaluate these methods against state-of-the art alternatives in a variety of standard signal processing problems. This is achieved trough a unifying interface that enables a seamless connection between the three types of modules: problems, dictionary learning algorithms and sparse solvers. In addition, it provides interoperability between existing state-of-the-art toolboxes. 
7 2 Ivan Damnjanovic
As an open source MATLAB toolbox, the SMALLbox can be seen as not only as a evaluation and educational tool, but as a tool for reproducible research in the sparse representations research community.
8 1 Ivan Damnjanovic
9 3 Ivan Damnjanovic
h2. Q2: How to obtain SMALLbox?
10 2 Ivan Damnjanovic
11 9 Ivan Damnjanovic
The SMALLbox project is maintained by people at the "Centre for Digital Music at SEECS, Queen Mary University of London":http://www.elec.qmul.ac.uk/digitalmusic/. To access the SMALLbox project page follow the link bellow:
12 9 Ivan Damnjanovic
13 9 Ivan Damnjanovic
https://code.soundsoftware.ac.uk/projects/smallbox/
14 9 Ivan Damnjanovic
15 9 Ivan Damnjanovic
16 1 Ivan Damnjanovic
17 3 Ivan Damnjanovic
h2. Q3: How to install SMALLbox?
18 1 Ivan Damnjanovic
19 1 Ivan Damnjanovic
20 1 Ivan Damnjanovic
21 3 Ivan Damnjanovic
h2. Q4: What are the Problem, solver, and DL structures in SMALLbox?
22 1 Ivan Damnjanovic
23 1 Ivan Damnjanovic
24 3 Ivan Damnjanovic
h2. Q5: What is included in SMALLbox?
25 1 Ivan Damnjanovic
26 1 Ivan Damnjanovic
27 3 Ivan Damnjanovic
h2. Q6: How do I contribute?
28 1 Ivan Damnjanovic
29 1 Ivan Damnjanovic
30 3 Ivan Damnjanovic
h2. Q7: I want to add my solver to SMALLbox. How?
31 1 Ivan Damnjanovic
32 1 Ivan Damnjanovic
33 3 Ivan Damnjanovic
h2. Q8: I want to add my dictionary learning algorithm to SMALLbox. How?
34 1 Ivan Damnjanovic
35 3 Ivan Damnjanovic
36 3 Ivan Damnjanovic
h2. Q9: I want to add a new sparse representation problem. How? 
37 3 Ivan Damnjanovic
38 3 Ivan Damnjanovic
h2. Q10: I want to add a new problem for dictionary learning. How?