An Efficient Implementation For Real Time Applications Of The Wigner-Ville Distribution

Boashash, Boualem; Black, Peter C.; Whitehouse, H.J.

doi:10.1117/12.976243

Cited by 6 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average instantaneous frequency (IF) is commonly obtained by computing the first moments of Wigner-Ville distribution (Boashash and Whitehouse, 1986), and its given by…”

Section: Instantaneous Frequency Estimation In Time Domainmentioning

confidence: 99%

High-resolution time frequency analysis using Wigner-Ville Distribution and the Maximum Entropy Method: Application for gas and hydrates identification

Zoukaneri

Porsani

2013

13th International Congress of the Brazilian Geophysical Society &Amp; EXPOGEF, Rio De Janeiro, Brazil, 26–29 August 2013

View full text Add to dashboard Cite

show abstract

“…The average instantaneous frequency (IF) is commonly obtained by computing the first moments of Wigner-Ville distribution (Boashash and Whitehouse, 1986), and its given by…”

Section: Instantaneous Frequency Estimation In Time Domainmentioning

confidence: 99%

High-resolution time frequency analysis using Wigner-Ville Distribution and the Maximum Entropy Method: Application for gas and hydrates identification

Zoukaneri

Porsani

2013

13th International Congress of the Brazilian Geophysical Society &Amp; EXPOGEF, Rio De Janeiro, Brazil, 26–29 August 2013

View full text Add to dashboard Cite

show abstract

“…Dispersion is a phenomenon in which the properties of a propagating wave-packet depend on frequency. In the signal processing community, considerable efforts have been attracted surrounding different applications, such as radar, [1][2][3] communication, 4,5 non-destructive evaluation, [6][7][8] seismology, [9][10][11][12] underwater acoustics, 13,14 and some biomedical applications. 15,16 Depending on its causes, it can be generally classified as media dispersion and waveguide dispersion.…”

mentioning

confidence: 99%

“…Both can bring desirable or undesirable effects. From the signal processing point of view, for undesirable case [1][2][3][4][5]17 the effects of dispersion cause the wave-packets to spread spatially and temporally during their propagation, which limits the capability of signal interpretation, so that one of the main objectives is to remove the effect of dispersion, such as dispersion compensation or wave-packet separation; on the other hand, the dispersion effect can actually be measured, [6][7][8][9][10][11][12][13][14][15][16] which denotes its transfer function can be quantitatively determined and further used for media characterization and waveguide evaluation. Consequently, the major challenges for dispersive signal processing include dispersion suppression and dispersion based media or structure evaluation.…”

mentioning

confidence: 99%

“…Since the 1980s, the classical time-frequency representation (TFR) method 18 for dispersive signals has become popular in the signal processing community. The TFR method has been applied to analyze the wideband electromagnetic scattering, 19 seismic waves, 9 ultrasonic guided waves, 7 and radar signal, 1 etc. Many improved TFR-based strategies of dispersion curves extraction and mode separation have been proposed in different fields, such as the group delay shift covariant quadratic TFR, 20 power-class TFR, 21 dispersion-based TFR, 22 Chirplet transform, 23 and matched TFR representation, 24 etc.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Dispersive Radon transform

Laugier

Minonzio

2018

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Dispersion results in the spreading and overlapping of the wave-packets, which often limits the capability of signal interpretation; on the other hand, such a phenomenon can also be used for structure or media evaluation. In this study, the authors propose an original dispersive Radon transform (DRT), which is formulated as integration transform along a set of dispersion curves. Multichannel dispersive signals of each individual mode can be concentrated to a well localized region in the DRT domain. The proposed DRT establishes the sparse projection of the dispersive components and provides an efficient solution for mode separation, noise filtering, and missing data reconstruction. Particularly the DRT method allows projecting the temporal signals of dispersive waves on the space of parameters of interest, which can be used to solve the inverse problem for waveguide or media property estimation. The least-square procedure and sparse scheme of the DRT are introduced. A high-resolution DRT is designed based on an iterative reweighting inversion scheme, which resembles the infinite-aperture velocity gather. The proposed method is applied by analyzing ultrasonic guided waves in plate-like structures and in a human radius specimen. The results suggest that the DRT method can significantly enhance the interpretation of dispersive signals.

show abstract

“…Early results [ 1,2] represented direct implementations of the defining equation in hardware. More recently, a microprograinmed impleinentation based on standard bipolar multiplier-accumulator chips has been proposed [3]. A systolic architecture based on the single modulus quadratic residue number representation has also been advanced lately [4].…”

Section: Introductionmentioning

confidence: 99%

VLSI architecture of a real-time Wigner distribution processor for acoustic signals

Marinovic

Oklobdzija²,

Roytman³

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

View full text Add to dashboard Cite

An architecture for a single-chip VLSI implementation of a Wigner distribution signal processor is presented. ASIC implementation in CMOS technology is considered with complexity of 65,000 gates, achieving a maximum throughput of 12K 16-bit samples per second. The architecture takes advantage of the high level of integration and low power consumption achievable with CMOS technology thus eliminating clock skew and off-chip delays associated with chip-crossing penalties. By integrating the Wigner processor on the single chip, the implementation is made practical and attractive for processing acoustic signals.

show abstract

An Efficient Implementation For Real Time Applications Of The Wigner-Ville Distribution

Cited by 6 publications

References 0 publications

High-resolution time frequency analysis using Wigner-Ville Distribution and the Maximum Entropy Method: Application for gas and hydrates identification

High-resolution time frequency analysis using Wigner-Ville Distribution and the Maximum Entropy Method: Application for gas and hydrates identification

Dispersive Radon transform

VLSI architecture of a real-time Wigner distribution processor for acoustic signals

Contact Info

Product

Resources

About