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

Aliasing01:18

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...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

You might also read

Related Articles

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

Sort by
Same author

Affective, cognitive, and arousal responses to Marko Kraljević and Alija Đerzelez: a cross-cultural study of narrative perception among multicultural students.

Frontiers in psychology·2026
Same author

The Impact of Outdoor Physical Activities on the Health of Pregnant Women: A Scoping Review.

Healthcare (Basel, Switzerland)·2026
Same author

Effects of Weighted Vest Sprint Training on Mid-Acceleration and Reactive Strength in Post-PHV Soccer Players.

Sports (Basel, Switzerland)·2026
Same author

The Effects of a Soccer-Specific and Traditional Proprioceptive Training Programs on Change of Direction, Passing Skills, and Balance in Young Soccer Players.

Journal of strength and conditioning research·2026
Same author

Singing for lung health following completion of pulmonary rehabilitation: feasibility of a randomised controlled trial.

BMJ open respiratory research·2026
Same author

Minimal vs Specialized Exercise Equipment for Pulmonary Rehabilitation: A Randomized Clinical Trial.

JAMA network open·2025

Related Experiment Video

Updated: Jul 2, 2026

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

EXPRESS: Deterministic Compressed Sensing in Time-Domain Spectroscopy.

Yookyung Ha, Jonas Woeste, Dominic Azih

    Applied Spectroscopy
    |July 1, 2026
    PubMed
    Summary

    Compressed sensing with deterministic sampling points allows time-domain spectroscopy below the Nyquist rate. This breakthrough enables compact, on-chip sensors for future applications.

    Keywords:
    Raman spectroscopycompressed sensinginfrared spectroscopytime-domain spectroscopy

    More Related Videos

    Generation and Coherent Control of Pulsed Quantum Frequency Combs
    06:42

    Generation and Coherent Control of Pulsed Quantum Frequency Combs

    Published on: June 8, 2018

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Related Experiment Videos

    Last Updated: Jul 2, 2026

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
    10:03

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

    Published on: June 27, 2014

    Generation and Coherent Control of Pulsed Quantum Frequency Combs
    06:42

    Generation and Coherent Control of Pulsed Quantum Frequency Combs

    Published on: June 8, 2018

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Area of Science:

    • Spectroscopy
    • Signal Processing
    • Sensor Technology

    Background:

    • Traditional time-domain spectroscopy requires high sampling rates, limiting device miniaturization.
    • Compressed sensing offers potential for signal recovery from sparse measurements.

    Purpose of the Study:

    • To demonstrate sub-Nyquist sampling for time-domain spectroscopy using compressed sensing.
    • To explore the feasibility of on-chip time-domain spectroscopy devices.

    Main Methods:

    • Utilized compressed sensing principles with deterministic sampling points.
    • Performed time-domain spectroscopy experiments under sub-Nyquist sampling conditions.

    Main Results:

    • Successfully achieved time-domain spectroscopy with sub-Nyquist sampling for the first time.
    • Validated the effectiveness of compressed sensing in this context.

    Conclusions:

    • Compressed sensing with deterministic sampling is a viable method for sub-Nyquist time-domain spectroscopy.
    • This technique is a key enabler for developing next-generation compact sensors and on-chip spectroscopy devices.