SUPERIORITY OF WAVELET THEORY COMPARED TO FOURIER TRANSFORM
نویسندگان
چکیده
Wavelet analysis is an exciting new method for solving difficult problems in mathematics, physics, engineering and medical sciences. Signal transmission based on of a series numbers. The representation function important all types signal transmission. wavelet technique. We can say that transform the improved version Fourier transform. In this study, classical compared with tools.
منابع مشابه
Wavelet Spectra compared to Fourier
The relation between Fourier spectra and spectra obtained from wavelet analysis is established. Small scale asymptotic analysis shows that the wavelet spectrum is meaningful only when the analysing wavelet has enough vanishing moments. We relate these results to regularity theorems in Besov spaces. For the analysis of innnitly regular signals, a new wavelet, with innnit number of cancellations ...
متن کاملWavelet transform based fast approximate Fourier transform
We propose an algorithm that uses the discrete wavelet transform (DWT) as a tool to compute the discrete Fourier transform (DFT). The Cooley-Tukey FFT is shown to be a special case of the proposed algorithm when the wavelets in use are trivial. If no intermediate coe cients are dropped and no approximations are made, the proposed algorithm computes the exact result, and its computational comple...
متن کاملBEP of Fourier Transform and Discrete Wavelet Transform based OFDM
Abstract—This paper studies the analytical bit error probability of Discrete Wavelet Transform and Fast Fourier Transform based Orthogonal Frequency Division Multiplexing (OFDM) systems. Closed form expressions of the bit error probabilities for both two methods are derived and validated. In the simulation, two channels with different impulse response are adopted. The results show that the Disc...
متن کاملEEG Waves Classifier using Wavelet Transform and Fourier Transform
The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field due to its rich information about human tasks. In this work EEG waves classification is achieved using the Discrete Wavelet Transform DWT with Fast Fourier Transform (FFT) by adopting the normalized EEG data. The DWT is used as a classifier of the EEG wave’s frequencies, while FFT is impleme...
متن کاملImageCompression Using Real Fourier Transform, Its Wavelet Transform And Hybrid Wavelet With DCT
This paper proposes new image compression technique that uses Real Fourier Transform. Discrete Fourier Transform (DFT) contains complex exponentials. It contains both cosine and sine functions. It gives complex values in the output of Fourier Transform. To avoid these complex values in the output, complex terms in Fourier Transform are eliminated. This can be done by using coefficients of Discr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Khulna University studies
سال: 2022
ISSN: ['1563-0897', '2789-2697']
DOI: https://doi.org/10.53808/kus.2006.7.1.0512-ps