2015•Unpublished venueRequires access

THE APPLICATION OF FOURIER TRANSFORMATION ON ANALOG SIGNAL PROCESSING

M.Si. Nikenasih Binatari, Emi Nugroho Ratna Sari

Open publisher page 0 citations

Abstract

Signal is a quantity that carries informations of nature phenomen. The data’s which are presented on signal can be used to inforrm the characteristic of the phenomen. Nevertheless, signal is generally presented on time domain. For some cases, analysis of signals in time domain is too difficult. Here, we need to look at the problem from another perspective. Joseph Fourier, great mathematician, found that signal can be stated as linear combination of elementary signals where the coefficients of the linear combination were the spectrum of the signal and were function of frequency. Therefore, we can transform signal from time domain into frequency domain using fourier transformation. Moreover, periodic signal can be transformed using fourier series while aperiodic signal can be transformed using fourier integral. Keywords : fourier transformation, analog signal, frequency domain

About this research paper

What this paper is about

Signal is a quantity that carries informations of nature phenomen. The data’s which are presented on signal can be used to inforrm the characteristic of the phenomen. Nevertheless, signal is generally presented on time domain. For some cases, analysis of signals in time domain is too difficult. Here, we need to look at the problem from another perspective. Joseph Fourier, great mathematician, found that signal can be stated as linear combination of elementary signals where the coefficients of the linear combination were the spectrum of the signal and were function of frequency. Therefore, we can transform signal from time domain into frequency domain using fourier transformation. Moreover, periodic signal can be transformed using fourier series while aperiodic signal can be transformed using fourier integral. Keywords : fourier transformation, analog signal, frequency domain

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Signal is a quantity that carries informations of nature phenomen. The data’s which are presented on signal can be used to inforrm the characteristic of the phenomen. Nevertheless, signal is generally presented on time domain. For some cases, analysis of signals in time domain is too difficult. Here, we need to look at the problem from another perspective. Joseph Fourier, great mathematician, found that signal can be stated as linear combination of elementary signals where the coefficients of the linear combination were the spectrum of the signal and were function of frequency. Therefore, we can transform signal from time domain into frequency domain using fourier transformation. Moreover, periodic signal can be transformed using fourier series while aperiodic signal can be transformed using fourier integral. Keywords : fourier transformation, analog signal, frequency domain

Key concepts: Fourier transform, SIGNAL (programming language), Frequency domain, Fourier analysis, Analog signal, Fourier series, Transformation (genetics), Discrete-time signal

Related papers

Back to paper searchBrowse research topicsOriginal source
THE APPLICATION OF FOURIER TRANSFORMATION ON ANALOG SIGNAL PROCESSING — Research Paper | ScholarLens