Asymmetric Gaussian chirplet model and parameter estimation for generalized echo representation

Demirli, Ramazan; Saniie, Jafar

doi:10.1016/j.jfranklin.2013.09.028

Cited by 30 publications

(16 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multi-scale analysis techniques map a 1D signal into a high dimensional space with transform based on a kernel function, including short-time Fourier transform (STFT), Wavelet transform (the continue wavelet transform (CWT), the discrete wavelet transform (DWT) and wave packet transform), Gabor transform [72], Chirplet transform [73] and asymmetric Gaussian Chirplet transform [74,75]. When the mapping data space express the changing frequency of the signal parameters, the algorithm can be used for time-frequency analysis [76].…”

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

“…The detail description of Eq. (11) is given in Refs [81,82]. Gabor transform and the Chirplet transform projects a signal energy distribution in a time-frequency plane, which does not induce interference terms [83].…”

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

“…Therefore, a suitable parameter evaluation algorithm is very important for signal decomposition algorithms. The successive parameters estimation algorithm [88] and the fast ridge pursuit algorithm [82] are most used algorithms for estimation of the atom parameter. In each iteration of the pursuit, the best atom is first selected, and then, its scale and the chirp rate are locally optimized so as to get a 'good' chirp atom.…”

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Liu¹,

Chen²

2018

Structural Health Monitoring From Sensing to Processing

View full text Add to dashboard Cite

Lamb waves have been widely studied in structural integrity evaluation during the past decades with their low-attenuation and multi-defects sensitive nature. The performance of the evaluation has close relationship with the vibration property and the frequency of Lamb waves signals. Influenced by the nature of Lamb waves and the environment, the received signals may be difficult to interpret that limits the performance of the detection. So pure Lamb waves mode emitting and high-resolution signals acquisition play important roles in Lamb waves structural integrity evaluation. In this chapter, the basic theory of Lamb waves nature and some environment factors that should be considered in structural integrity evaluation are introduced. Three kinds of typical transduces used for specific Lamb waves mode emitting and sensing are briefly introduced. Then the development of techniques to improve the interpretability of signals are discussed, including the waveform modulation techniques, multi-scale analysis techniques and the temperature effect compensation techniques are summarized.

show abstract

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

Section: Multi-scale Analysis Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Liu¹,

Chen²

2018

Structural Health Monitoring From Sensing to Processing

View full text Add to dashboard Cite

show abstract

“…Further note that, since in this work we concentrate on the envelope part of AGCM, the form and type of the frequency part F p is not significant for the here proposed algorithm and may be replaced by other model functions. However, we kept with the chirplet function as it follows the derivation of the model in (Demirli and Saniie, 2014).…”

Section: Theory Asymmetric Gaussian Chirplet Modelmentioning

confidence: 99%

Asymmetric chirplet transform for sparse representation of seismic data

Boßmann

2015

GEOPHYSICS

View full text Add to dashboard Cite

For a fast and accurate extraction of important information in seismic signals, a sparse representation based on physical parameters of the given data is crucial. In this paper we use the Asymmetric Gaussian Chirplet Model (AGCM) and establish a dictionary free variant of the Orthogonal Matching Pursuit (OMP), a Greedy algorithm for sparse approximation. The atoms of AGCM, so-called chirplets, display asymmetric oscillation-attenuation properties, which make the AGCM very suitable for sparse representation of absorption decay seismic signals. Unlike the Fourier transform which assumes that the seismic signals consist of plane waves, the AGCM assumes the seismic signal consists of non-stationary compressed plane waves, i.e., symmetric or asymmetric chirplets. Thus AGCM is a general model for seismic wave simulation, and its model parameters include envelope part and phase part. In this paper, we mainly concentrate on the parameters of envelope part such as envelope amplitude and arrival time. We will show numerical examples using the algorithm for seismic signal approximation and arrive-time detection. The results show a promising performance but may be improved considering also spatial correlations of seismic data.

show abstract

“…To monitor and determine the characteristics of the test subject nondestructively, the ultrasonic echo signal needs to be processed for flaw detection. Different computational intense methods including Split Spectrum Processing (SSP), Chirplet Signal Decomposition (CSD), and Discrete Wavelet Transform (DWT) are shown to be promising for ultrasonic signal analysis [1][2][3][4][5][6][7][8][9][10][11][12]. In this study, for the specific applications and test setup at hand, the SSP method [1] is of interest for processing the signal, and DWT methodology is of interest for compressing, transmitting, storing, and decompressing the signal for later analysis [6].…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable accelerator design platform for ultrasonic signal processing and imaging applications

Gal

Saniie

2016

2016 IEEE International Ultrasonics Symposium (IUS)

Self Cite

View full text Add to dashboard Cite

Ultrasonic testing and imaging systems have evolved from a basic single transducer system to arrays capable of 3dimensional scans. These systems need to be flexible and also reconfigurable in order to acquire and process a vast amount of data. The system must also allow for a variety of parameters like the data acquisition rate, signal lengths and processing characteristics which need to be reconfigurable for adaptability to different applications. This study presents a reconfigurable hardware/software co-design system including specific hardware accelerators to acquire and perform ultrasonic signal processing efficiently. For this study, the architecture of the developed ultrasonic system is comprised of two different functional components. One component is specially designed to process the data while the other component gathers, compresses and transfers data which can later be restored and analyzed. For data transfer a simple and consequently efficient real-time operating system and Ethernet connective is developed. This is all implemented on the ZEDBoard Zynq SoC for maximum flexibility and performance. The data handling component is built with support for gathering, compressing, reconstructing, and transferring data to other platforms via Ethernet communication. The different variations of the designs allow the system designers the choice of applying the best solution for their specific applications.

show abstract

Asymmetric Gaussian chirplet model and parameter estimation for generalized echo representation

Cited by 30 publications

References 23 publications

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Asymmetric chirplet transform for sparse representation of seismic data

Reconfigurable accelerator design platform for ultrasonic signal processing and imaging applications

Contact Info

Product

Resources

About