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  2. DFT matrix - Wikipedia

    en.wikipedia.org/wiki/DFT_matrix

    An N-point DFT is expressed as the multiplication =, where is the original input signal, is the N-by-N square DFT matrix, and is the DFT of the signal. The transformation matrix W {\displaystyle W} can be defined as W = ( ω j k N ) j , k = 0 , … , N − 1 {\displaystyle W=\left({\frac {\omega ^{jk}}{\sqrt {N}}}\right)_{j,k=0,\ldots ,N-1 ...

  3. Discrete Fourier transform over a ring - Wikipedia

    en.wikipedia.org/wiki/Discrete_Fourier_transform...

    One can ask whether the DFT matrix is unitary over a finite field. If the matrix entries are over F q {\displaystyle F_{q}} , then one must ensure q {\displaystyle q} is a perfect square or extend to F q 2 {\displaystyle F_{q^{2}}} in order to define the order two automorphism x ↦ x q {\displaystyle x\mapsto x^{q}} .

  4. Discrete Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_Fourier_transform

    [A] [1] An inverse DFT (IDFT) is a Fourier series, using the DTFT samples as coefficients of complex sinusoids at the corresponding DTFT frequencies. It has the same sample-values as the original input sequence. The DFT is therefore said to be a frequency domain representation of the original input sequence. If the original sequence spans all ...

  5. Split-radix FFT algorithm - Wikipedia

    en.wikipedia.org/wiki/Split-radix_FFT_algorithm

    The base cases of the recursion are N=1, where the DFT is just a copy =, and N=2, where the DFT is an addition = + and a subtraction =. These considerations result in a count: 4 N log 2 ⁡ N − 6 N + 8 {\displaystyle 4N\log _{2}N-6N+8} real additions and multiplications, for N >1 a power of two.

  6. Discrete-time Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Discrete-time_Fourier...

    Both transforms are invertible. The inverse DTFT reconstructs the original sampled data sequence, while the inverse DFT produces a periodic summation of the original sequence. The Fast Fourier Transform (FFT) is an algorithm for computing one cycle of the DFT, and its inverse produces one cycle of the inverse DFT.

  7. Goertzel algorithm - Wikipedia

    en.wikipedia.org/wiki/Goertzel_algorithm

    The Goertzel algorithm is a technique in digital signal processing (DSP) for efficient evaluation of the individual terms of the discrete Fourier transform (DFT). It is useful in certain practical applications, such as recognition of dual-tone multi-frequency signaling (DTMF) tones produced by the push buttons of the keypad of a traditional analog telephone.

  8. Density functional theory - Wikipedia

    en.wikipedia.org/wiki/Density_functional_theory

    Density functional theory (DFT) is a computational quantum mechanical modelling method used in physics, chemistry and materials science to investigate the electronic structure (or nuclear structure) (principally the ground state) of many-body systems, in particular atoms, molecules, and the condensed phases.

  9. Vienna Ab initio Simulation Package - Wikipedia

    en.wikipedia.org/wiki/Vienna_Ab_initio...

    The basic methodology is density functional theory (DFT), but the code also allows use of post-DFT corrections such as hybrid functionals mixing DFT and Hartree–Fock exchange (e.g. HSE, [3] PBE0 [4] or B3LYP [5]), many-body perturbation theory (the GW method [6]) and dynamical electronic correlations within the random phase approximation (RPA ...