Numerical Analysis II
Approximation coefficients are numerical values used in wavelet methods to represent a function or signal at various levels of detail. They serve as the foundation for reconstructing the original signal through a series of transformations, allowing for efficient data compression and noise reduction while preserving important features. These coefficients are crucial in breaking down complex signals into simpler components, enabling easier analysis and manipulation.
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