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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 11, ISSUE 1, JANUARY 2022

APPLICATIONS OF MATLAB IN DIGITAL SIGNAL PROCESSING

Prof. Vishal V. Mehtre, Shambhavi Sinha

DOI: 10.17148/IJARCCE.2022.11133

Abstract: Matlab’s rich and powerful functions have made it a fundamental teaching tool in the course of linear algebra, signals and systems, control theory, digital signals processing, image processing. Matlab has provided many main signal and system processing functions such as convolution, Fourier transform, Laplace transform, z-transform, etc, which simplify the calculation process greatly. This paper describes the applications of Matlab in signals and systems and digital signal processing DSP. Matlab provides various methods to analyze the signals and systems, including both continuous and discrete situations. Some methods can simplify the complicated calculation: some finish the same functions in accordance with the mathematical processing: and some can save operation time via efficient algorithms. Matlab can be used at different levels to solve problems quickly and efficiently, to understand the signal processing procedures deeply and to develop new algorithms.

Keywords: Convolution, DSP, Fourier, Matlab, Optimize, Signal, System, Simulation

How to Cite:

[1] Prof. Vishal V. Mehtre, Shambhavi Sinha, “APPLICATIONS OF MATLAB IN DIGITAL SIGNAL PROCESSING,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11133