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.
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