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Fourier Transform

Fast Fourier Transform Pipeline Architecture for OFDM

Fast Fourier Transform Pipeline Architecture for OFDM

... processing and related fields to analyze the frequencies contained in a sampled signal, to solve partial differential equations, and to perform other operations such as convolutions or multiplying large integers. A key ...

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Four Particular Cases of the Fourier Transform

Four Particular Cases of the Fourier Transform

... defined Fourier transforms to one another, the integral Fourier transform, the Discrete-Time Fourier Transform (DTFT), the Discrete Fourier Transform (DFT) and the ...

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ALTERNATIVE TO THE HYPERCOMPLEX FOURIER TRANSFORM DEFINITION

ALTERNATIVE TO THE HYPERCOMPLEX FOURIER TRANSFORM DEFINITION

... Abstract: In this paper we present a construction of the quaternionic hyper- complex version of Fourier Series and an introduction of a simple quaternionic expansion of Fourier Transform in ...

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4.On the $q$-Bessel Fourier transform

4.On the $q$-Bessel Fourier transform

... q-Bessel Fourier transform with a new ...q-integral transform are proved with a new constructive demonstrations and we establish in particular the associated q-Fourier-Neumen expansion which ...

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IMAGE COMPRESSION USING FOURIER TRANSFORM

IMAGE COMPRESSION USING FOURIER TRANSFORM

... Fast Fourier transform also known as spectral involves or frequency analysis which is implemented or used in the image processing and signal processing ...

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Quaternion Fourier Transform for Colour Images

Quaternion Fourier Transform for Colour Images

... D and D ( u , v ) as in Eq.(17) is the distance from the origin of the Fourier transform. Fig.2 shows the results of Gaussian quaternion low pass filtering the Lena image in the hyper complex spectral ...

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Introduction to Fast Fourier Transform in Finance

Introduction to Fast Fourier Transform in Finance

... the Fourier pricing formula from binomial lat- tice of Part I to multinomial lattices, see µ Cerný [2004, Chapter ...(continuous) Fourier transform see Carr and Wu [2004], and for evalution of ...

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Implementation Techniques for the Truncated Fourier Transform

Implementation Techniques for the Truncated Fourier Transform

... In this chapter, we review basic concepts related to high-performance implementation of the truncated Fourier transform (TFT) and the inverse TFT (ITFT). We start with the definition of rings and fields in ...

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REVIEW PAPER ON FRACTIONAL FOURIER TRANSFORM

REVIEW PAPER ON FRACTIONAL FOURIER TRANSFORM

... Fractional Fourier Transform (FRFT) is generalization of the Classical Fourier Transform (FT). The FRFT is realized based on a special parameter α, which is known as an angle rotation in time ...

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Adaptive Local Polynomial Fourier Transform in ISAR

Adaptive Local Polynomial Fourier Transform in ISAR

... In this paper we propose a modification of the first group of research techniques. The adaptive local polynomial Fourier transform (LPFT) is used. Adaptive coefficients are calculated for each considered ...

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VLSI Implementation of Pipelined Fast Fourier Transform

VLSI Implementation of Pipelined Fast Fourier Transform

... Discrete Fourier transform (DFT) is a very important technique in modern digital signal processing (DSP) and telecommunications, especially for applications in orthogonal frequency demodulation multiplexing ...

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Directional short time Fourier transform of distributions

Directional short time Fourier transform of distributions

... ridgelet transform. He introduced and analyzed the continuous ridgelet transform which is a combination of continuous wavelet transform and the Radon trans- form ...Radon transform and ...

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Generalised Fourier transform for the Camassa Holm hierarchy

Generalised Fourier transform for the Camassa Holm hierarchy

... and their inverse. The fact that the expansions over the squared solutions provide the spectral decompositions of the recursion operators makes evident the interpretation of the ISM as a generalized Fourier ...

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On uncertainty principle of the local polynomial Fourier transform

On uncertainty principle of the local polynomial Fourier transform

... polynomial Fourier transform (LPFT) is ...the transform and the overlap length between signal segments are also ...short-time Fourier transform, the Wigner-Ville distribution and the ...

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THEKERNEL OF N- DIMENSIONAL FRACTIONAL FOURIER TRANSFORM

THEKERNEL OF N- DIMENSIONAL FRACTIONAL FOURIER TRANSFORM

... fractional Fourier transform by extending the definition of first dimensional fractional Fourier ...fractional Fourier transform. The properties of kernel of fractional Fourier ...

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Image segmentation using multiresolution Fourier transform

Image segmentation using multiresolution Fourier transform

... Wavelet Transform (WT) and Multiresolution Fourier Transform (MFT) [3] [14] are therefore used to allow a trade- o between resolution in class space and ...

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Fast Fourier Transform Using Advanced Processor

Fast Fourier Transform Using Advanced Processor

... Processor & Butterfly Operation: The principle of FFT algorithm is based upon decomposing the computation of DFT of a sequence of length ‘n’ into successive smaller DFT. Parallel data streams are used as inputs to an ...

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CAS: The Discrete Fourier Transform and Cyclical Overflow

CAS: The Discrete Fourier Transform and Cyclical Overflow

... aggregate loss S is composed of a random number N of independent, identically distributed claims X. Although there are several techniques for deriving probability dis- tributions for S, the discrete Fourier ...

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Applications of Fourier Transform in Engineering Field

Applications of Fourier Transform in Engineering Field

... obtain Fourier Transform by a limiting process of Fourier ...Baptiste Fourier (1768-1830) in a manuscript submitted to the Institute of France in ...that Fourier Transform is a ...

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Eigenvectors of the Discrete Fourier Transform Based on the Bilinear Transform

Eigenvectors of the Discrete Fourier Transform Based on the Bilinear Transform

... Determining orthonormal eigenvectors of the DFT matrix, which is closer to the samples of Hermite-Gaussian functions, is crucial in the definition of the discrete fractional Fourier transform. In this work, ...

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