Reproducible Research
The Division of Information Science and Engineering is committed to reproducible research. On this page, we provide links to software frameworks developed by the division, as well as source code to the simulation environment for select publications.
Software frameworks
Greedy sparse learning over network
Please find the reproducible code here (zip 17 kB)
Generalized Fusion Algorithm for Compressive Sampling Reconstruction and RIP-based Analysis
Please find the reproducible code here (zip 22 kB)
ARK (Bioinformatics - Bacterial Community Composition)
ARK - Aggregation of Reads by K-means for Bacterial Community Composition. Please download the reproducible code from here ARK (zip 3.5 MB)
Distributed Greedy Pursuit Algorithms (Compressed Sensing)
Check the readme file (zip 120 kB)
DIPP - Distributed Parallel Pursuit (Compressed Sensing)
DIPP - Distributed Parallel Pursuit.zip (zip 169 kB)
The figures are generated under ./data/ folder. The data is generated from the files in ./ folder. The algorithms are in the ./algorithms/ folder.
SEK (Bioinformatics - bacterial community composition)
The software uses Matlab environment. It provides one click approach to reproduce Fig. 2 of the paper "SEK: Sparsity exploiting k-mer-based estimation of bacterial community composition". The software includes a README file where detailed description is given.
four_multi
Four-multi is a software framework targeted towards testbed implementations of wireless systems involving multiple antennas (per node), multiple-nodes (in the system and/or per cells), multiple-band (e.g several spectrum segments), and multiple cells. Four-multi runs on a special configuration of USRPs (see "requirements" below). Four-multi is packaged in a library (libfour_multi). Four-multi is released under the terms of the GNU General Public License (GPL).
OpenShoe
OpenShoe is an academic project for creating an open source embedded foot-mounted INS implementation. The project contain both hardware and software components all of which are documented and released under open source licenses.
CoordinatedPrecoding.jl
CoordinatedPrecoding.jl is a Julia package for the simulation of wireless networks, in particular multicell multiple-input multiple-output (MIMO) networks operating using coordinated precoding.
Measurements
TDD reciprocity measurement
A few channel measurements to test channel reciprocity. Check README.txt for documentation.
Source code from publications
| Authors | Title | Appears in | Source Code |
|---|---|---|---|
| S. Chatterjee, A. M. Javid, M. Sadeghi, S Kikuta, P. P. Mitra, M. Skoglund | SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design | Self Size-estimating Feed-forward Network (SSFN).zip (zip 1.6 MB) | |
| A. Venkitaraman, S. Chatterjee, and P. Händel | Kernel regression for signals over graphs | kergraphcodes.zip (zip 7.2 MB) | |
| A. Zaki, P. P. Mitra, L. K. Rasmussen and S. Chatterjee | Estimate Exchange over Network is Good for Distributed Hard Thresholding Pursuit | Signal Processing, 156, 1-11. | DHTP_code.zip (zip 17 kB) |
| A. Venkitaraman, S. Chatterjee, and P. Händel | Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing | Submitted to Elsevier Signal Processing Journal | Matlab code (zip 120 kB) |
| R. Brandt, R. Mochaourab, and M. Bengtsson | Globally Optimal Base Station Clustering in Interference Alignment-Based Multicell Networks | IEEE Signal Processing Letters 23.4 (2016): 512-516. | GitHub |
| R. Brandt, R. Mochaourab, and M. Bengtsson | Interference Alignment-Aided Base Station Clustering using Coalition Formation | Proceedings of the 49th Asilomar Conf. on Signals, Systems, Computers, 2015. | GitHub |
| R. Brandt and M. Bengtsson | Fast-Convergent Distributed Coordinated Precoding for TDD Multicell MIMO Systems | Proceedings of IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP'15) | GitHub |
| E. Zenteno, R. Piazza, M. R. Bhavani Shankar, D. Rönnow, and B. Ottersten | A MIMO symbol rate signal digital predistorter for nonlinear multicarrier satellite channels |
IET Communications, to be published 2015. |
Demo tool (pdf) (pdf 68 kB) |
| E. Zenteno, R. Piazza, M. R. Bhavani Shankar, D. Rönnow, and B. Ottersten |
Low complexity predistortion and equalization in nonlinear multicarrier satellite communications |
EURASIP J. on Advances in Signal Processing, vol. 2015, no. 1, p. 30, 2015. |
See demo tool above. |
| R. Brandt, M. Bengtsson | Distributed CSI Acquisition and Coordinated Precoding for TDD Multicell MIMO Systems | IEEE Transactions on Vehicular Technology, in press | Matlab code |
| Z.Khan, E. Zenteno, M. Isaksson, P. Händel |
Density Estimation Models for Strong Nonlinearities in RF Power Amplifiers |
Proceedings of Asia Pacific Microwave Conference, Sendai, Japan, Nov. 2014 |
Matlab code (zip 7 kB) Measurement data (30 MB) |
| E. Björnson, M. Bengtsson, B. Ottersten | Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure |
IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014 |
Matlab code |
| R. Brandt, E. Björnson, M. Bengtsson | Weighted Sum Rate Optimization for Multicell MIMO Systems with Hardware-Impaired Transceivers | Proceedings of IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014 |
Matlab code |
| D. Zachariah, A. de Angelis, S. Dwivedi, P. Händel | Schedule based sequential localization in asynchronous wireless networks | EURASIP Journal on Advances in Signal Processing, February 2014 |
Download (zip 11 kB) |
| E. Björnson, M. Matthaiou, M. Debbah | A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments |
IEEE Transactions on Communications, vol. 61, no. 11, pp. 4512-4525, November 2013 |
Matlab code |
| E. Björnson, M. Kountouris, M. Bengtsson, B. Ottersten | Receive Combining vs. Multi-Stream Multiplexing in Downlink Systems with Multi-Antenna Users |
IEEE Transactions on Signal Processing, vol. 61, no. 13, pp. 3431-3446, July 2013 |
Matlab code |
| M. Matthaiou, A. Papadogiannis, E. Björnson, M. Debbah | Two-way Relaying under the Presence of Relay Transceiver Hardware Impairments |
IEEE Communications Letters, vol. 17, no. 6, pp. 1136-1139, June 2013 |
Matlab code |
| E. Björnson, A. Papadogiannis, M. Matthaiou, M. Debbah | Proceedings of IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013 |
Matlab code | |
| E. Björnson, P. Zetterberg, M. Bengtsson, B. Ottersten | Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments |
IEEE Communications Letters, vol. 17, no. 1, pp. 91-94, January 2013 |
Matlab code |
| E. Björnson, E. Jorswick | Optimal Resource Allocation in Coordinated Multi-Cell Systems |
Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013 |
Matlab code |
| P. Zetterberg, N. M. Moghadam | An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA) and Coordinated Multi-Point (CoMP) | Proceedings of Int. Conf. Systems, Signals, Image Process. (IWSSIP), Vienna, Austria, 2012 |
SourceForge |
| E. Björnson, B. Ottersten | IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010 |
Matlab code | |
| M.Sundin, C.R. Rojas, M. Jansson and S.Chatterjee | Relevance Singular Vector Machine for Low-rank Matrix Reconstruction | IEEE Transaction on Signal Processing, 2015. Submitted. | GitHub |