Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

335
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
335
Interference and Superposition of Waves01:07

Interference and Superposition of Waves

5.5K
When two waves of the same nature occur in the same region simultaneously, they result in interference. Interference of waves implies that the net effect of the waves is the sum of the individual waves' effects. However, it does not imply that the individual waves affect the propagation of other waves.
Interference occurs in mechanical waves, such as sound waves, waves on a string, and surface water waves. Mechanical waves correspond to the physical displacement of particles. Hence,...
5.5K
Aliasing01:18

Aliasing

224
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...
224
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.3K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
2.3K
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

1.1K
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
1.1K
Interference: Path Lengths01:10

Interference: Path Lengths

1.4K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
1.4K

You might also read

Related Articles

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

Sort by
Same author

miR-145-5p induces ferroptosis by targeting Notch2 to suppress melanoma progression.

Mutation research·2026
Same author

Ion-Responsive Microneedles Delivering Subtype-Specific Mitochondrial Extracellular Vesicles from HEY1⁺ Cardiomyocytes for Cardiac Repair in Bama Minipigs with Myocardial Ischemia-Reperfusion Injury.

Theranostics·2026
Same author

Triangle-like lumen in fibrosing mediastinitis-induced pulmonary vein stenosis: a case report.

BMC cardiovascular disorders·2026
Same author

Effects of triticale silage substitution for corn silage on growth performance, serum biomarkers, rumen fermentation, and rumen bacterial community of Pingliang Red Cattle.

BMC microbiology·2026
Same author

Cytobiological and molecular mechanisms underlying hybridization fertility differences among albino tea cultivars (Camellia sinensis).

Journal of advanced research·2026
Same author

Hirudin suppresses ovarian cancer cell proliferation and glycolysis through inhibiting the NF-κB/HK3 axis.

Gene·2026

Related Experiment Video

Updated: Sep 9, 2025

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

21.9K

A Review on Recent Advances in Signal Processing in Interferometry.

Yifeng Wang1, Fangyuan Zhao1, Linbin Luo1

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

This review covers optical encoder signal processing for high-precision measurements. It compares homodyne and heterodyne interferometry techniques, detailing their signal processing methods and hardware platforms.

Keywords:
hardware platformsheterodynehomodyneoptical interferometry

More Related Videos

Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.5K
Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
11:47

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments

Published on: February 27, 2013

15.7K

Related Experiment Videos

Last Updated: Sep 9, 2025

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

21.9K
Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.5K
Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
11:47

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments

Published on: February 27, 2013

15.7K

Area of Science:

  • Optics and Photonics
  • Metrology and Measurement Science

Background:

  • Optical interferometry is crucial for high-precision displacement and angle measurements in advanced industries.
  • Accurate optical encoder signal processing, calibration, and compensation are vital for achieving measurement precision.

Purpose of the Study:

  • To comprehensively review signal processing techniques in optical interferometric measurements over the last two decades.
  • To provide a comparative analysis of different methods, highlighting their advantages and limitations.

Main Methods:

  • Review of signal processing techniques for homodyne interferometry (e.g., error calibration, ellipse parameter estimation).
  • Review of signal processing techniques for heterodyne interferometry (e.g., pulse-counting, quadrature phase-locked, Kalman filtering).
  • Introduction to hardware platforms used for optical interference signal processing.

Main Results:

  • Detailed overview of established and emerging signal processing techniques for optical interferometry.
  • Comparative analysis of demodulation methods for homodyne and heterodyne systems.
  • Identification of strengths and weaknesses of various signal processing approaches.

Conclusions:

  • Signal processing techniques significantly impact the precision of optical interferometric measurements.
  • Understanding the characteristics of different methods is essential for selecting appropriate techniques for specific applications.
  • The paper serves as a valuable resource for researchers and engineers in optical metrology.