Keywords: DFT
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Displaying 1-20 of 52 results.
2D DFT
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Abstract: This module extends the ideas of the Discrete Fourier Transform (DFT) into two-dimensions, which is necessary for any image processing.
Atomistic Computer Modeling of Materials (SMA 5107), Spring 2005
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Abstract: This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential ... More »
Bayesian Networks
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Abstract: This module offers an introduction to Bayesian networks by means of a worked example of computing a bayesian network from a joint probability distribution (JPD).
Chirp-z Transform
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Abstract: Efficient scheme for computing samples of the z-transform. (Important special case: DFTs)
Circular Convolution and the DFT
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Abstract: This module describes the circular convolution algorithm and an alternative algorithm
Circular Shifts
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Abstract: The module looks at circular shifting and how it is can be used as a tool to represent the shifting of a periodic sequence.
Computational Quantum Mechanics of Molecular and Extended Systems, Fall 2004
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Abstract: The theoretical frameworks of Hartree-Fock theory and density functional theory are presented as approximate methods to solve the many-electron problem. A variety of ways to incorporate electron correlation are discussed. The application of these techniques to calculate the reactivity and spectroscopic ... More »
Convolución Circular y el DFT
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Abstract: Este modulo describe el elgoritmo de convolucion cicular y un algoritmo alterno
Desplazamientos Circulares
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Abstract: Este modulo ve el desplazamiento circular y como se puede usar para representar el desplazamiento de secuencias periodicas.
DFT as a Matrix Operation
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Abstract: This module introduces linear algebra, DFT, FFT, matrix and vector.
Discrete Fourier Transform
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Abstract: The Fourier transform can be computed in discrete-time despite the complications caused by a finite signal and continuous frequency.
Discrete Fourier Transform (DFT)
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| Type: | Course Related Materials |
Abstract: The Fourier transform can be computed in discrete-time despite the complications caused by a finite signal and continuous frequency.
Discrete Fourier Transform Pair
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Abstract: How to compute spectra using DFT.
Discrete Fourier Transformation
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Abstract: This module covers the fundamentals of Discrete-Fourier Transformations.
Discrete-Time Filtering Example
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Abstract: Average stock price as an example of discrete-time filtering.
Efficient FFT Algorithm and Programming Tricks
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Abstract: Many tricks and techniques have been developed to speed up the computation of FFTs. Significant reductions in computation time result from table lookup of twiddle factors, compiler-friendly or assembly-language programming, special hardware, and FFT algorithms for real-valued data. Higher-radix algorithms, ... More »
Fast Fourier Transform (FFT)
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| Type: | Course Related Materials |
Abstract: The DFT can be reduced from exponential time with the Fast Fourier Transform algorithm.
Filtering in the Frequency Domain
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Abstract: Describes the use of the discrete Fourier transform for filtering signals in the frequency domain.
Filtering in the Frequency Domain
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| Type: | Course Related Materials |
Abstract: Investigation of different aspects of filtering in the frequency domain, particularly the use of discrete Fourier transforms.
Filtering with the DFT
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Abstract: The ideas of using the DFT to filter a signal and recover a signal from a noisy transmission are addressed based on the ideas of the DFT and convolution.
