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  2. Heaviside step function - Wikipedia

    en.wikipedia.org/wiki/Heaviside_step_function

    The Heaviside step function, or the unit step function, usually denoted by H or θ (but sometimes u, 1 or 𝟙), is a step function named after Oliver Heaviside, the value of which is zero for negative arguments and one for positive arguments. Different conventions concerning the value H(0) are in use.

  3. Rectangular function - Wikipedia

    en.wikipedia.org/wiki/Rectangular_function

    Plot of normalized ⁡ function (i.e. ⁡ ()) with its spectral frequency components.. The unitary Fourier transforms of the rectangular function are [2] ⁡ = ⁡ = ⁡ (), using ordinary frequency f, where is the normalized form [10] of the sinc function and ⁡ = ⁡ (/) / = ⁡ (/), using angular frequency , where is the unnormalized form of the sinc function.

  4. Gibbs phenomenon - Wikipedia

    en.wikipedia.org/wiki/Gibbs_phenomenon

    Thus, the Gibbs phenomenon can be seen as the result of convolving a Heaviside step function (if periodicity is not required) or a square wave (if periodic) with a sinc function: the oscillations in the sinc function cause the ripples in the output. The sine integral, exhibiting the Gibbs phenomenon for a step function on the real line

  5. Causal filter - Wikipedia

    en.wikipedia.org/wiki/Causal_filter

    which is non-causal. On the other hand, g(t) is Hermitian and, consequently, its Fourier transform G(ω) is real-valued. We now have the following relation = () where Θ(t) is the Heaviside unit step function. This means that the Fourier transforms of h(t) and g(t) are related as follows

  6. Step response - Wikipedia

    en.wikipedia.org/wiki/Step_response

    The step response of a system in a given initial state consists of the time evolution of its outputs when its control inputs are Heaviside step functions. In electronic engineering and control theory , step response is the time behaviour of the outputs of a general system when its inputs change from zero to one in a very short time.

  7. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    On L 1 (R) ∩ L 2 (R), this extension agrees with original Fourier transform defined on L 1 (R), thus enlarging the domain of the Fourier transform to L 1 (R) + L 2 (R) (and consequently to L p (R) for 1 ≤ p ≤ 2). Plancherel's theorem has the interpretation in the sciences that the Fourier transform preserves the energy of the original ...

  8. Support (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Support_(mathematics)

    This has the intuitive interpretation as the set of points at which a distribution fails to be a smooth function. For example, the Fourier transform of the Heaviside step function can, up to constant factors, be considered to be / (a function) except at =

  9. Green's function - Wikipedia

    en.wikipedia.org/wiki/Green's_function

    Then, the Heaviside step function Θ(x − x 0) is a Green's function of L at x 0. Let n = 2 and let the subset be the quarter-plane {(x, y) : x, y ≥ 0} and L be the Laplacian. Also, assume a Dirichlet boundary condition is imposed at x = 0 and a Neumann boundary condition is imposed at y = 0.