DARI ANALISIS FOURIER KE ANALISIS WAVELET (From Fourier Analysis to Wavelet Analysis) | Zendy

Bambang Avip Priatna Martadiputra | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

DARI ANALISIS FOURIER KE ANALISIS WAVELET (From Fourier Analysis to Wavelet Analysis)

Author(s) -

Bambang Avip Priatna Martadiputra

Publication year - 2015

Publication title -

jurnal pengajaran matematika dan ilmu pengetahuan alam

Language(s) - English

Resource type - Journals

eISSN - 2443-3616

pISSN - 1412-0917

DOI - 10.18269/jpmipa.v2i2.382

Subject(s) - wavelet , fourier analysis , fourier transform , fourier series , computer science , signal (programming language) , mathematics , mathematical analysis , artificial intelligence , programming language

In this article we will compare the classical methods of Fourier analysis with the never methods of wavelet analysis. Fourier methods are not always a good tool to recapture the signal, particularly if it is highly non-smooth because too much Fourier information is needed to reconstruct the signal locally. In this case, wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal.Key words: Fourier analysis, Wavelet analysis

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research