Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Aliasing

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Gridless three-dimensional compressive beamforming with the Sliding Frank-Wolfe algorithm.

The Journal of the Acoustical Society of America·2021

Same author

Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization.

PloS one·2020

Same author

Acoustic Sensing of Forces Driving Fast Capillary Flows.

Physical review letters·2020

Same author

A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction.

Frontiers in neuroscience·2020

Same author

Localization of sparse and coherent sources by orthogonal least squares.

The Journal of the Acoustical Society of America·2020

Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026

Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026

Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026

Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026

Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026

Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 18, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Near-field acoustic holography using sparse regularization and compressive sampling principles.

Gilles Chardon¹, Laurent Daudet, Antoine Peillot

¹Institut Langevin, ESPCI ParisTech, Univ. Paris Diderot, UPMC Univ Paris 06, CNRS UMR 7587, 10 rue Vauquelin, F-75005 Paris, France. gilles.chardon@espci.fr

The Journal of the Acoustical Society of America

|September 18, 2012

Summary

This summary is machine-generated.

This study introduces novel sparsity-based regularization for near-field acoustic holography (NAH) to identify vibrating sources. These methods improve accuracy, especially with velocity field discontinuities, and reduce required measurements using compressive sampling.

More Related Videos

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Related Experiment Videos

Last Updated: May 18, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

Acoustics
Vibration Analysis
Signal Processing

Background:

Near-field acoustic holography (NAH) faces challenges in inverse problem regularization for source identification.
Standard techniques struggle with velocity field discontinuities at boundaries.

Purpose of the Study:

To develop alternative regularization schemes for NAH using sparsity.
To leverage compressive sampling for reduced measurements in NAH.
To compare sparsity-based methods with Tikhonov regularization.

Main Methods:

Developing regularization schemes based on the sparsity of normal velocity in a designed basis.
Utilizing compressive sampling with random microphone arrays.
Numerical and experimental validation on two plate geometries.

Main Results:

Sparsity-based regularization effectively handles velocity field discontinuities.
Reduced number of measurements required through compressive sampling.
Demonstrated tractability of the optimization problem with standard software.

Conclusions:

Sparsity-based regularization offers an advantageous alternative to Tikhonov for NAH.
The proposed framework enhances source identification accuracy and measurement efficiency.
Further research can explore broader applications of these techniques.