This paper presents an overview of an ultrasonic signal-processing technique called Split
Spectrum Processing (SSP). This technique first published in 1979 [1][2] uses frequency …

Ultrasonic detection and characterization of targets concealed by scattering noise is
remarkably challenging. In this study, a neural network (NN) coupled to split-spectrum …

The detection of flaw echoes in backscattered signals in ultrasonic nondestructive testing
can be challenging due to the existence of backscattering noise and electronic noise. In this …

In this work, a Support Vector Machine (SVM) classifier is introduced for ultrasonic flaw
detection based on features extracted from the output of the subband decomposition filters …

Ultrasonic pulse-echo methods for flaw detection have been widely employed as an
effective strategy for nondestructive evaluation, and flaw detection plays an important role …

Ultrasonic flaw detection has been extensively used for NDE applications because it has
high inspection resolution and accuracy. Conventional ultrasonic flaw detection is more …

In this work, we analyze signal decomposition properties of discrete wavelet transform
(DWT) for enhanced ultrasonic flaw detection. In wavelet signal decomposition, a collection …

In this paper we compare the performances of different variants of split-spectrum algorithms
and propose some new extensions based on the use of variable bandwidth filters equally …

In this paper, we present field-programmable gate-array (FPGA)-based configurable
architectures that are able to perform frequency-diverse target detection for real-time …

In this study, the performance of chirplet signal decomposition (CSD) and empirical mode
decomposition (EMD) coupled with Hilbert spectrum have been evaluated and compared for …