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Compression

Arbre d’orientation spatiale des ondelettes, SPIHT, EZW, WDR, AWDR et poursuite adaptative

Compressez des signaux et des images avec des méthodes d’analyse par ondelettes et des méthodes de poursuite adaptative.

Fonctions

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Compression

`wcompress`	True compression of images using wavelets
`wdencmp`	Denoising or compression
`wpdencmp`	Denoising or compression using wavelet packets
`measerr`	Quality metrics of signal or image approximation

Poursuite adaptative

`sensingDictionary`	Sensing dictionary for sparse signal recovery (depuis R2022a)
`matchingPursuit`	Recover sparse signal using matching pursuit algorithm (depuis R2022a)
`basisPursuit`	Recover sparse signal using the basis pursuit algorithm (depuis R2022a)

Rubriques

Compression

Wavelet Data Compression
Learn how to obtain sparse representation of a signal using wavelets.
Wavelet Compression for Images
Learn about quantization for true compression of images and about different compression methods.
Data Compression using 2-D Wavelet Analysis
The purpose of this example is to show how to compress an image using two-dimensional wavelet analysis.

Poursuite adaptative

Matching Pursuit
Create sensing dictionaries and perform matching pursuit on 1-D signals.
Matching Pursuit Algorithms
Learn about basic, orthogonal, and weak orthogonal matching pursuit algorithms.