These last years, several adaptive methods were developed to analyze signals or images. <br/>In this talk I will present a wavelet transform, called Empirical Wavelet Transform (EWT) to perform such adaptive analysis.<br/>The EWT is based on wavelet filters built over frequency ranges obtained from the segmentaton of the signal/image spectrum.<br/>I will show that this approach provides very accurate time-frequency or scale-space representations. We will illustrate the <br/>strength of the proposed transform in the analysis of Electoencephalogram in Neuroscience and Microscopy imaging.

Adaptive wavelet approach for signal/image processing

249th National Meeting (2015)

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