نتایج جستجو برای: frequency domain using fast fourier transform and discrete wavelet transform in data mining stage

تعداد نتایج: 22304961  

Journal: :رادار 0
رضا منصوری رضا محسنی

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

ابدالی, سمیرا, جعفر زاده پور, ابراهیم, هاشمی, بیژن,

Background and purpose: Retinitis Pigmentosa (RP) is one of the retinal degeneration diseases affecting the eye signals. Electroretinogram (ERG) is a signal that plays an important role in diagnosis and treatment of RP. This signal includes useful information that cannot be revealed just in time domain. We aimed to investigate the effect of RP on time, frequency, and time-frequency parameters o...

Rahman Kabiri Seyed Vahab Shojaedini,

Introduction In recent years methods based on radio frequency waves have been used for detecting breast cancer. Using theses waves leads to better results in early detection of breast cancer comparing with conventional mammography which has been used during several years. Materials and Methods In this paper, a new method is introduced for detection of backscattered signals which are received by...

2014
Belma Joseph

The Discrete Fourier Transform (DFT) is used to transform the samples in time domain into frequency domain coefficients. The Fast Fourier Transform (FFT) is a widely used algorithm that computes the Discrete Fourier Transform (DFT) using much less operations than a direct realization of the DFT. FFTs is of great significance to a wide variety of applications such as data compression, spectral a...

Journal: :فیزیک زمین و فضا 0
محمد رداد دانشجوی دکتری لرزه شناسی، گروه فیزیک زمین، مؤسسة ژئوفیزیک، دانشگاه تهران، ایران علی غلامی دانشیار، گروه فیزیک زمین، مؤسسة ژئوفیزیک، دانشگاه تهران، ایران حمیدرضا سیاه کوهی استاد، گروه فیزیک زمین، مؤسسة ژئوفیزیک، دانشگاه تهران، ایران

seismic attribute is a quantitative measure of an interested seismic characteristic. there are several seismic attributes. in recent years, time-frequency (tf) attributes have been developed which to reach them, tf analyzing of seismic data is required. a high resolution tf representation (tfr) can yield more accurate tf attributes. there are several tfr methods including short-time fourier tra...

2008
Pao-Yen Lin

Wavelet transforms have become one of the most important and powerful tool of signal representation. Nowadays, it has been used in image processing, data compression, and signal processing. This paper will introduce the basic concept for Wavelet Transforms, the fast algorithm of Wavelet Transform, and some applications of Wavelet Transform. The difference between conventional Fourier Transform ...

2015
Siddhaling V. Moholkar

An Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to fading environments. In OFDM the data is modulated using multiple numbers of sub-carriers that are orthogonal to each other because of which the problems associated with other modulation schemes such as Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI) are redu...

Journal: :JOURNAL OF THE JAPAN STATISTICAL SOCIETY 1997

2003
A. N. Robertson K. C. Park

This paper presents a method for the derermination of the frequency response functions using thefast wavelet transform (FWT) as an alternative to the fast Fourier transform (FFT)-based method. After a brief description of underlying theory, a focus problem is used to examine the relative perjonnance between the FFT-based vs. the FWT-based procedures for noisy data. The performance evaluations i...

2012
D. B. Pawar M. Selva Balan

Nonlinearities are often encountered in the analysis and processing of real-world signals. Most existing approaches to nonlinear signal processing characterize the nonlinearity in the time domain or frequency domain. In fact, there are good reasons for characterizing nonlinearity using more general signal representations like the wavelet expansion. Wavelet expansions often provide very concise ...

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