wavelet transform

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

A wavelet transform decomposes a function or time series into a sum of products of wavelets from a collection. The collection is often defined mathematically using a kernel, which then means that thay have good mathematical properties. A wavelet transform is rather like a Fourier transform, as the wavelets typically operate at different temporal or spatial scales, but whereas the sin/cos funcitons used in the Fourier transform extend over the entire temporal or spatial domain, wavelets are local.

Used in Chap. 8: page 105; Chap. 12: page 181; Chap. 14: pages 207, 212, 214

Also known as wavelet transformation

Mexican hat' wavelet

A simple family of wavelets – the Haar Wavelet