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The present work describes a Bayesian maximum a posteriori (MAP) method using a statistical multiscale wavelet prior model. Rather than using the orthogonal discrete wavelet transform (DWT), this prior is built on the translation invariant wavelet transform (TIWT). The statistical modeling of wavelet coefficients relies on the generalized Gaussian distribution. Image reconstruction is performed in...
This paper presents some applications of the wavelet transforms to EEG and ECG signals. Besides filtering and detection problems, a comparison of wavelet functions is proposed and new-schemes directed to pattern recognition and multiscale mapping are introduced.
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