transformes

Transformes, in mathematics and related disciplines, refer to a family of mappings that take an input object—such as a function, a discrete sequence, or an image—and assign it to a transformed output object. The primary goal of a transform is to reveal structure, simplify analysis, or enable operations that are difficult in the original domain. Transformes commonly operate in a linear, continuous, or discrete setting and are often invertible, meaning the original input can be recovered from the transformed output under suitable conditions.

The most well known transform is the Fourier transform, which expresses a function as a sum or integral of sinusoids and converts convolution into multiplication. Other standard transforms include the Laplace transform, which is useful for solving differential equations; the discrete-time and continuous-time Fourier transforms; and the Z-transform, used in signal processing for discrete signals. Wavelet transforms provide multi-resolution representations, while the Hilbert transform relates a signal to its instantaneous phase. There are many others, such as the Radon transform in tomography or the Mellin transform in scale analysis.

In practice, transforms are characterized by kernels or basis functions and by properties such as linearity, time-shift and scale behavior, and invertibility. They are computed either analytically or numerically, with algorithms like the fast Fourier transform enabling efficient computation for large data sets. Transformes play a central role in signal processing, physics, image analysis, differential equations, and data compression.