NMFLAB for Signal and Image Processing

 

NTFLAB for Signal Processing

 

Toolboxes for NMF (Non-negative Matrix Factorization) and NTF (Non-negative Tensor Factorization)
for BSS (Blind Source Separation)

The NMFLAB Packages for:

 

  • Signal Processing
  • Image Processing

 

and NTFLAB Package for:

 

  • Signal Processing

 

have been designed, developed, and implemented in MATLAB by:

Andrzej CICHOCKI and Rafal ZDUNEK 

The toolbox consists of the various NMF algorithms and some generalizations written in MATLAB® and extensively tested by Rafal Zdunek and Andrzej Cichocki

in collaboration  with  Shun-ichi Amari, Sergio Cruces-Alavarez, Raul Kompass, Seungjin Choi , Zhaoshui He, Zhe Chen, Gen Hori, Yoshikazu Washizawa, Arao Funase, Ruairi de Frein, Scott Rickard, and other members of Laboratory for Advanced Brain Signal Processing.

MATLAB® is a registered trademark of The MathWorks, Inc.


The graphic design, data visualization, user interface, is partially adopted from the ICALAB ver. 1.5 developed by Andrzej Cichocki, Shun-ichi Amari, Krzysztof Siwek, Toshihisa Tanaka, Sergio Cruces-Alvarez, et al.

Version:

Released:

NMFLAB for Signal Processing

updated December 12, 2006

NMFLAB for Image Processing

updated December 12, 2006

NTFLAB for Signal Processing

August 4, 2006

 

To download, clique the links:  
NMFLAB for Signal Processing DOWNLOAD PAGE


NMFLAB for Image Processing DOWNLOAD PAGE

 

NTFLAB for Signal Processing DOWNLOAD PAGE


Guidebook of NMFLAB for signal processing [PDF]



The references for all the toolboxes are as follows:

[1] A. Cichocki and R. Zdunek, NMFLAB – MATLAB Toolbox for Non-Negative Matrix Factorization,
[2] A. Cichocki, R. Zdunek,  and  S.  Amari, "Csiszar's Divergences for Non-Negative Matrix Factorization: Family of New  Algorithms",  6th International Conference on Independent Component Analysis and Blind Signal Separation, Charleston SC, USA, March 5-8, 2006 Springer LNCS 3889,  pp. 32-39. [.pdf]
[3] A. Cichocki, S. Amari,  R. Zdunek, R. Kompass , G. Hori and Z. He, "Extended SMART Algorithms for Non-Negative Matrix Factorization", Lecture Notes in Artificial Intelligence, Vol. 4029 (2006), pp. 548-562, (8th International Conference on Artificial Intelligence and Soft Computing (ICAISC06), Zakopane, Poland, 25-29 June 2006), [available on request from the authors]
[4] R. Zdunek, and A. Cichocki, "Non-Negative Matrix Factorization with Quasi-Newton Optimization", Lecture Notes in Artificial Intelligence, Vol. 4029 (2006), pp. 870-879, (8th International Conference on Artificial Intelligence and Soft Computing (ICAISC06), Zakopane, Poland, 25-29 June 2006), [.pdf]
[5] A. Cichocki, R. Zdunek, and S. Amari, "New Algorithms for Non-Negative Matrix Factorization in   Applications to Blind Source Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2006), May 14-19, 2006, Toulouse, France, [.pdf]
[6] R. Zdunek and A. Cichocki, “Nonnegative Matrix Factorization with Constrained Second Order Optimization, (submitted for publication),
[7] A. Cichocki and R. Zdunek, "Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches", (submitted for ICONIP, October 2006,
Hong Kong). [available on request from the authors]
[8] A. Cichocki and R. Zdunek, "Multilayer Nonnegative Matrix Factorization", Electronics Letters, Vol. 42, No. 16 (2006), pp. 947-948,
[9] A. Cichocki, R. Zdunek, S. Amari, G. Hori and K. Umeno, “Blind Signal Separation Method and System Using Modular and Hierarchical-Multilayer Processing for Blind Multidimensional Decomposition, Identification, Separation or Extraction”, Patent pending, No. 2006-124167, RIKEN, Japan,  March 2006.

If you use our NMFLAB Toolbox you should make reference at least to one of our contribution above.

This software is for non-commercial use only and it is copyrighted.

Moreover, some original algorithms and procedures are protected by Riken patent pending, No. 2006-124167, JAPAN.

 


DISCLAIMER

NEITHER THE AUTHORS NOR THEIR EMPLOYERS ACCEPT ANY RESPONSIBILITY OR LIABILITY FOR LOSS OR DAMAGE OCCASIONED TO ANY PERSON OR PROPERTY THROUGH USING SOFTWARE, MATERIALS, INSTRUCTIONS, METHODS OR IDEAS CONTAINED HEREIN, OR ACTING OR REFRAINING FROM ACTING AS A RESULT OF SUCH USE. THE AUTHORS EXPRESSLY DISCLAIM ALL IMPLIED WARRANTIES, INCLUDING MERCHANT ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. THERE WILL BE NO DUTY ON THE AUTHORS TO CORRECT ANY ERRORS OR DEFECTS IN THE SOFTWARE. THIS SOFTWARE AND THE DOCUMENTATION ARE THE PROPERTY OF THE AUTHORS AND SHOULD BE ONLY USED FOR SCIENTIFIC AND EDUCATIONAL PURPOSES. ALL SOFTWARE IS PROVIDED FREE AND IT IS NOT SUPPORTED. THE AUTHORS ARE, HOWEVER, HAPPY TO RECEIVE COMMENTS, CRITICISM AND SUGGESTIONS ADDRESSED TO icalab@bsp.brain.riken.go.jp