Software

Software libraries and datasets that have been developed  and/or collected by the SPL team are available at our Github repositories.  If you find any of this material useful for your research, please give credit in your publications where it is due.

The following lists outline the publicly available software and datasets in the areas of Imaging, Distributed Sensor Networks and Audio & Speech activities.

Libraries

Feature selection & performance characterization of multi-hop WSN 7

Feature selection & performance characterization of multi-hop WSN

This repository contains MATLAB code for the Representation Entropy Clustering Feature Selection Algorithm, which uses representation entropy ranking & clustering for the automatic calculation of the dominant network features that characterize the network performance in multi-hop wireless sensor network deployments. A sample dataset is also included.

Research area: Distributed Sensor Networks
Language/Environment: MATLAB.
Software library: Link.

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Feature selection & performance characterization of multi-hop WSN 4

Feature selection & performance characterization of multi-hop WSN

This repository contains MATLAB code for the Representation Entropy Clustering Feature Selection Algorithm, which uses representation entropy ranking & clustering for the automatic calculation of the dominant network features that characterize the network performance in multi-hop wireless sensor network deployments. A sample dataset is also included.

Research area: Distributed Sensor Networks
Language/Environment: MATLAB.
Software library: Link.

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Feature selection & performance characterization of multi-hop WSN 3

Feature selection & performance characterization of multi-hop WSN

This repository contains MATLAB code for the Representation Entropy Clustering Feature Selection Algorithm, which uses representation entropy ranking & clustering for the automatic calculation of the dominant network features that characterize the network performance in multi-hop wireless sensor network deployments. A sample dataset is also included.

Research area: Distributed Sensor Networks
Language/Environment: MATLAB.
Software library: Link.

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Datasets

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Disclaimer

Copyright (c) 2011-2016, Signal Processing Lab (SPL), Institute of Computer Science (ICS), FORTH, Greece.

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the Signal Processing Lab, the Institute of Computer Science and FORTH, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THE SOFTWARE LIBRARIES AND DATASETS ARE PROVIDED BY THE INSTITUTE AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE INSTITUTE OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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