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

Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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 sampling...
Effective Value of a Periodic Waveform01:07

Effective Value of a Periodic Waveform

The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Gradually Varying Flow01:29

Gradually Varying Flow

Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...

You might also read

Related Articles

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

Sort by
Same author

Deletion of gasdermin D promotes granulocytic myeloid-derived suppressor cell differentiation by decreased release of mitochondrial DNA to promote tumor escape.

Cancer immunology, immunotherapy : CII·2025
Same author

Association between sleep duration and frailty in older adults: Systematic review and meta-analysis of observational studies.

Archives of gerontology and geriatrics·2025
Same author

Rapid renal MR fingerprinting for characterizing chronic kidney disease: A feasibility study.

Magnetic resonance imaging·2025
Same author

Identifying Risk and Protective Factors Impacting the Clinical Outcomes of Subthreshold Anxiety in Early Adolescents: Insights From the ABCD Study.

Depression and anxiety·2025
Same author

Nr4a1 modulates inflammation and heart regeneration in zebrafish.

Development (Cambridge, England)·2025
Same author

The shared genetic structure and causal analysis between frailty and suicide.

Behavioural brain research·2025

Related Experiment Video

Updated: Jul 4, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Dynamic arbitrary waveform shaping in a continuous fiber.

Yu Yeung Kenny Ho1, Li Qian

  • 1Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. yuyeung.ho@utoronto.ca

Optics Letters
|June 3, 2008
PubMed
Summary
This summary is machine-generated.

We developed a low-loss dynamic waveform shaping method for high-repetition-rate signals. This technique precisely controls spectral line amplitude and phase in fiber, enabling versatile signal generation.

More Related Videos

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape
07:38

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

Fabrication and Testing of Microfluidic Optomechanical Oscillators
09:10

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

Related Experiment Videos

Last Updated: Jul 4, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape
07:38

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

Fabrication and Testing of Microfluidic Optomechanical Oscillators
09:10

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

Area of Science:

  • Photonics
  • Optical Engineering
  • Signal Processing

Background:

  • High-repetition-rate signals are crucial for modern communication and sensing.
  • Dynamic control over optical signal waveforms is essential for advanced applications.
  • Existing methods for waveform shaping often face limitations in loss, speed, or flexibility.

Purpose of the Study:

  • To introduce a novel low-loss dynamic waveform shaping technique for high-repetition-rate signals.
  • To demonstrate independent control over amplitude and phase of individual spectral lines within a continuous fiber.
  • To achieve precise temporal manipulation of optical signals.

Main Methods:

  • Utilizing uniform fiber Bragg gratings for spectral line separation.
  • Employing an in-line polarization controller for independent amplitude control of spectral lines.
  • Using an in-line fiber stretcher for independent phase control of spectral lines.
  • Experimentally manipulating five spectral lines with 0.12 nm spectral resolution.

Main Results:

  • Demonstrated a low-loss dynamic waveform shaping technique.
  • Successfully achieved independent amplitude and phase control for multiple spectral lines.
  • Experimentally generated several distinct waveforms with a temporal resolution of 17 ps.
  • Showcased the potential for improved temporal resolution by increasing bandwidth with additional spectral lines.

Conclusions:

  • The presented technique offers a flexible and efficient method for dynamic optical waveform shaping.
  • This approach is suitable for high-repetition-rate signal applications.
  • Further enhancements in temporal resolution are achievable by expanding the spectral bandwidth.