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2. File:Linear transformation.pdf - Wikipedia

   en.wikipedia.org/wiki/File:Linear_transformation.pdf

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3. List of transforms - Wikipedia

   en.wikipedia.org/wiki/List_of_transforms

   Affine transformation (Euclidean geometry) Bäcklund transform; Bilinear transform; Box–Muller transform; Burrows–Wheeler transform (data compression) Chirplet transform; Distance transform; Fractal transform; Gelfand transform; Hadamard transform; Hough transform (digital image processing) Inverse scattering transform; Legendre ...

4. List of types of functions - Wikipedia

   en.wikipedia.org/wiki/List_of_types_of_functions

   p-adic function: a function whose domain is p-adic. Linear function; also affine function. Convex function: line segment between any two points on the graph lies above the graph. Also concave function. Arithmetic function: A function from the positive integers into the complex numbers. Analytic function: Can be defined locally by a convergent ...

5. Linear fractional transformation - Wikipedia

   en.wikipedia.org/wiki/Linear_fractional...

   Linear fractional transformations leave cross ratio invariant, so any linear fractional transformation that leaves the unit disk or upper half-planes stable is an isometry of the hyperbolic plane metric space. Since Henri Poincaré explicated these models they have been named after him: the Poincaré disk model and the Poincaré half-plane model.

6. Linear transformation in rotating electrical machines - Wikipedia

   en.wikipedia.org/wiki/Linear_transformation_in...

   Transformation of three phase electrical quantities to two phase quantities is a usual practice to simplify analysis of three phase electrical circuits. Polyphase a.c machines can be represented by an equivalent two phase model provided the rotating polyphases winding in rotor and the stationary polyphase windings in stator can be expressed in a fictitious two axes coils.

7. List of Fourier-related transforms - Wikipedia

   en.wikipedia.org/wiki/List_of_Fourier-related...

   Such transformations map a function to a set of coefficients of basis functions, where the basis functions are sinusoidal and are therefore strongly localized in the frequency spectrum. (These transforms are generally designed to be invertible.) In the case of the Fourier transform, each basis function corresponds to a single frequency component.