'Fast fourier transform fft' presentation slideshows

Accelerating Fast Fourier Transform for Wideband Channelization

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Accelerating Fast Fourier Transform for Wideband Channelization

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Fast Fourier Transform

Fast Fourier Transform. Fourier ?? :. ????? :. Jean Baptiste Joseph Fourier (1768 - 1830). ??? :. ? g(x) ????. 1. d ( t ). w. t. delta ??. TopHat ??. cos( w 0 t ). w. t. +w 0. -w 0. 0. 0. cosine ??. sine ??. ???? :. ???? :. -a. a.

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Fast Fourier Transform

Fast Fourier Transform. ? ? ???????????. Fast Fourier Transform. The Fast Fourier Transform (FFT) is a very efficient algorithm for performing a discrete Fourier transform

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Fourier Transform: Applications in seismology

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Fourier Analysis

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Jeremy R. Johnson May 16, 2001

Applied Symbolic Computation (CS 680/480) Lecture 6: Fast Fourier Transform (FFT) and Convolution. Jeremy R. Johnson May 16, 2001. Introduction.

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Fourier Transform: Applications

Seismograms Eigenmodes of the Earth Time derivatives of seismograms The pseudo-spectral method for acoustic wave propagation. Fourier Transform: Applications. Fourier: Space and Time. Time t Time variable T period f frequency w =2 p f angular frequency. Space x space variable

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Sampling Theorem, frequency resolution & Aliasing

The Sampling Theorem will be the single most important constraint you'll learn in computer-aided instrumentation design Consider a periodic function, with period T:. Sampling Theorem, frequency resolution & Aliasing. Fourier Series.

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A. M. Sharaf, Senior Member, IEEE University of New Brunswick, Fredericton, NB, Canada

A New Current Pattern Recognizing Protection Technique for High Impedance Fault Using Cross Correlation. A. M. Sharaf, Senior Member, IEEE University of New Brunswick, Fredericton, NB, Canada. M. M. Eissa, Senior Member, IEEE Faculty of Engineering, Helwan University, EGYPT.

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Fourier Transform and its Application in Image Processing

Fourier Transform and its Application in Image Processing. Md Shiplu Hawlader Roll: SH-224. Overview. Fourier Series Theorem Fourier Transform Discrete Fourier Transform Fast Fourier Transform. Fourier Series Theorem.

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Spectral Lines

Spectral Lines. Spectral Lines. Gives the frequency composition of the function Amplitude, phase of sinusoidal components Could provide information not found in time signal E.g. Pitch, noise components May help distinguish between signals E.g speech/speaker recognition.

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Electrical Communications Systems ECE.09.331 Spring 2011

Electrical Communications Systems ECE.09.331 Spring 2011. Lecture 3b February 2, 2011. Shreekanth Mandayam ECE Department Rowan University http://engineering.rowan.edu/~shreek/spring11/ecomms/. Plan. Recall: Sampling Time-limited and Band-limited waveforms Nyquist Sampling

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Spectral Lines

Spectral Lines. Spectral Lines. Gives the frequency composition of the function Amplitude, phase of sinusoidal components Could provide information not found in time signal E.g. Pitch, noise components May help distinguish between signals E.g speech/speaker recognition.

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Five Mathematical Algorithms That Help Us Get There

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Integral Transform

Integral Transform. Integral transform: K( ?,t): Kernel Mapping a function f(t) in t-space into another function g(?) in ?-space Fourier, Wavelet, Z-transform, Laplace, Hilbert, Radon, etc An original problem is difficult to solve in the original coordinate.

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Fast Fourier Transform (FFT)

Fast Fourier Transform (FFT) Problem : we need an efficient way to compute the DFT. The answer is the FFT. Consider a data sequence and its DFT:.

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