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The practical guide for using the R-package in the digital signal processing
Journal of the Korean Data & Information Science Society 2017;28:1001-19
Published online September 30, 2017
© 2017 Korean Data & Information Science Society.

Ro Jin Pak1

1Department of Applied Statistics, Dankook University
Correspondence to: Ro Jin Pak
Professor, Department of Applied Statistics, Dankook University, Jukjun-Dong, Suji-Gu, Yongin 16890, Korea. E-mail: rjpak@dankook.ac.kr
Received July 13, 2017; Revised September 5, 2017; Accepted September 7, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The signal processing is a field of the electrical engineering but it is very much related with the time series analysis. Thesedays the commercial softwares are widely used by the reseachers. We have attempted to make a guide for using the R-package in the digital signal processing. It would be good to read the materials in each section first and to follow the plots in the section 8 and to run the attached R-codes. The article consists of (1) Fourier transform and Fourier inverse transform, (2) spectral analysis (3) parametric and non-parametric estimation for the period (4) filter design. Simple theoretical explanations are provided and R implementations are added.
Keywords : Digital signal processing, filtering, Fourier transform, R-package, time series