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Linear algebra tool box for GNU radio companion

Authors :
Kokila M
Vishnu R
KaviNandhini M
R Gandhiraj
Source :
2015 International Conference on Communications and Signal Processing (ICCSP).
Publication Year :
2015
Publisher :
IEEE, 2015.

Abstract

The aim of this paper is to bring the concept of linear algebra and Digital Signal Processing together. This methodology helps in efficient solving of signal processing problems. Linear algebra tool box is created to visualize the signal by ‘click and drag’ approach. In platform like MATLAB, tapping of the signals is not possible (conventional code has to be written for solving the problem). This problem can be solved with the help of a freeware called GNU Radio Companion (GRC). In GRC each problem can be modeled in the form of a module. In this paper, problem like L1 norm, L2 norm, Frobenius norm, unit vector normalization and least square fitting are solved. Quantified results are open in this paper.

Details

Database :
OpenAIRE
Journal :
2015 International Conference on Communications and Signal Processing (ICCSP)
Accession number :
edsair.doi...........8fc397611a8e3134c7d15e142e00aed9
Full Text :
https://doi.org/10.1109/iccsp.2015.7322594