Signal processing for the detection of multipleimperfection echoes drowned in the structuralnoise

In this paper, some signal processing algoritms mike split spectrum processing (SSP) and wavelets are developed and implemented on computer allowing their utilization in ultrasonics

Abstract : In this work, we propose in one hand, to develop algorithms based on Split Spectrum Processing (SSP) with Q constant method associated to "Group delay moving

In this work, we propose in one hand, to develop algorithms based on Split Spectrum Processing (SSP) with Q constant method associated to "Group delay moving entropy".

In this context, we develop signal processing tools based on Split Spectrum Processing (SSP) with Q constant method allowing to detect and locate the imperfections present in

To evaluate the milk concentration range within which the cutoff frequency method and the weighted moment approxi- mation are valid for the determination of the average velocity,

As a starting point of analysis, a segmentation is often used; in [27], automatic segmentations, based on pulse-coupled neural network (PCNN) for medical images have been

In the present work, to exploit statistical Novelty Index cited above, modal parameters are identified here using the Wavelet Transform (WT)[19] and

Small watermelon mass and volume values were calculated by linear regression equation, where the calculated value and the true value had a linear relationship