Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology
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Denoising Source Separation (DSS)

Denoising source separation is a new source separation framework proposed by Jaakko Särelä and Harri Valpola. It is based on denoising procedures.

For more information, see the comprehensive journal paper Denoising source separation published in Journal of Machine Learning Research and the Web tutorials.

Harri Valpola has written a story about the genesis of DSS.

Commercial support for DSS and other data-analysis methods is provided by ZenRobotics Ltd.


Dec. 07 2005 The DSS MATLAB package has reached the stable version v1-0.

You are at: CIS → DSS project page

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