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

Exponential and Sinusoidal Signals01:18

Exponential and Sinusoidal Signals

540
The exponential function is crucial for characterizing waveforms that rise and decay rapidly. This continuous-time exponential function is defined using exponential terms with constants α and A. When both constants are real, the function is represented as,
540
Exponential Fourier series01:24

Exponential Fourier series

464
In audio signal processing, the exponential Fourier series plays a crucial role in sound synthesis, allowing complex sounds to be broken down into simpler sinusoidal components. This decomposition process is fundamental in analyzing and reconstructing musical notes and other audio signals. The exponential Fourier series expresses periodic signals as the sum of complex exponentials at both positive and negative harmonic frequencies, providing a powerful tool for signal analysis.
Euler's identity...
464
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

469
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
469
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

701
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
701
Generating Electromagnetic Radiations01:10

Generating Electromagnetic Radiations

5.5K
The German physicist Heinrich Hertz (1857–1894) was the first to generate and detect certain types of electromagnetic waves in the laboratory. Starting in 1887, he performed a series of experiments that confirmed the existence of electromagnetic waves and verified that they travel at the speed of light. Hertz used an alternating-current RLC (resistor-inductor-capacitor) circuit that resonated at a known frequency and connected it to a loop of wire. High voltages induced across the gap in...
5.5K
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

502
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
502

You might also read

Related Articles

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

Sort by
Same author

Validation of Novel Clinical Scales for Perceptual Evaluation of Vocal Breathiness and Roughness.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Application of Pitch-Based Measures for Aperiodic Pediatric Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation·2025
Same author

Multidimensional Perceptual Structure of Pediatric Dysphonia in Children With Glottal and Supraglottal Vibratory Sources.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

Segment-Based Signal Typing and Predictive Modeling in Pediatric Dysphonia With Different Vibratory Sources.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

Using a Vortex Whistle System to Estimate Phonatory Airflow via the Phonation Quotient.

Journal of voice : official journal of the Voice Foundation·2025
Same author

Voice Quality in Pediatric Dysphonia: Assessing Expert Rater Reliability Across Three Perceptual Methods.

Journal of voice : official journal of the Voice Foundation·2025
Same journal

Reducing computational complexity in adaptive sound zones with online room impulse response estimation.

The Journal of the Acoustical Society of America·2026
Same journal

Small-sample unbiased linear coherence estimators for a complex Gaussian random process.

The Journal of the Acoustical Society of America·2026
Same journal

Automated detection and annotation of toothed-whale whistles using transformer-based instance segmentation.

The Journal of the Acoustical Society of America·2026
Same journal

Effect of temperature and concentration on the thermo-acoustic behavior of vitamin B5 (d-Panthenol) solutions in the presence of glycol additives.

The Journal of the Acoustical Society of America·2026
Same journal

The visome: Using cognitive networks to examine lip-reading errors in English words.

The Journal of the Acoustical Society of America·2026
Same journal

Resident subjective annoyance responses to combined road traffic and train-induced structure-borne noise: Effects of sound environment.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: Nov 11, 2025

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

9.4K

Exponential spectro-temporal modulation generation.

Trevor A Stavropoulos1, Sittiprapa Isarangura2, Eric C Hoover3

  • 1Brain Game Center for Mental Fitness and Well-being, University of California, Riverside, California 92521, USA.

The Journal of the Acoustical Society of America
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

Generating spectro-temporal modulation on a logarithmic scale is now more efficient. This new analytical method improves real-time stimulus generation for auditory experiments.

More Related Videos

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

10.1K
Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.5K

Related Experiment Videos

Last Updated: Nov 11, 2025

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

9.4K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

10.1K
Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.5K

Area of Science:

  • Auditory Neuroscience
  • Signal Processing
  • Psychoacoustics

Background:

  • Real-time spectro-temporal modulation generation traditionally uses linear amplitude scales due to computational limits.
  • Logarithmic amplitude modulation is crucial for experiments reflecting perceptual and physiological responses to signal magnitude changes.

Purpose of the Study:

  • To present an efficient analytical method for computing exponential spectro-temporal modulation.
  • To enable precise real-time generation of stimuli for auditory research.

Main Methods:

  • Expressing exponential spectro-temporal modulation as a sum of linearly offset sidebands.
  • Utilizing modified Bessel functions of the first kind to determine component amplitudes.

Main Results:

  • The analytical method provides a computationally efficient way to generate logarithmic spectro-temporal modulation.
  • Achieved significant improvements in efficiency and precision for stimulus generation.

Conclusions:

  • The presented method facilitates real-time generation of spectro-temporally modulated noise on a logarithmic scale.
  • This advancement supports a wider range of auditory experiments requiring precise stimulus control.