The Daubechies wavelet is a family of wavelets developed by Ingrid Daubechies, characterized by their compact support and orthogonality. These wavelets are fundamental in signal processing and functional analysis, providing a powerful tool for decomposing signals into various frequency components while preserving important features. Their ability to create smooth approximations makes them particularly useful in applications like image compression and noise reduction.
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