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

Semiconductors01:22

Semiconductors

466
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
466
Cascaded Op Amps01:16

Cascaded Op Amps

531
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
531
Aliasing01:18

Aliasing

100
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...
100
Upsampling01:22

Upsampling

158
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...
158
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

175
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...
175
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

453
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
453

You might also read

Related Articles

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

Sort by
Same author

Medial wall/arthroscopy/posterior facet (MAP) strategy for displaced intra-articular calcaneal fractures: evaluation of a novel minimally invasive protocol in a retrospective comparative cohort.

Journal of orthopaedic surgery and research·2026
Same author

Mechano-optically co-designed highly-scalable silicon photonic MEMS switches with quasi-buckling-free 2 × 2 horizontal adiabatic directional couplers.

Microsystems & nanoengineering·2026
Same author

From antibiotic impasse to cellular breakthrough: Advances in cell-based and cell-inspired strategies against bacterial infections.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Influencing factors of sport performance during menstruation in elite female football players: a semi-structured interview-based study.

Science & medicine in football·2026
Same author

Ultraviolet-C to mid-infrared supercontinuum generation in periodically poled lithium tantalate waveguides.

Light, science & applications·2026
Same author

Model-Driven Deep Learning Enables Speckle-Free Holography for 3D Parallel Nanofabrication.

Research (Washington, D.C.)·2026
Same journal

Large-scale discovery and annotation of substructure patterns in mass spectrometry profiles.

Nature communications·2026
Same journal

Salmonella SopB suppresses post-transcriptionally regulated cytokine release to reduce early tissue inflammation and delay disease progression.

Nature communications·2026
Same journal

A human-specific microRNA controls the timing of excitatory synaptogenesis.

Nature communications·2026
Same journal

An HMA-like integrated domain in the wheat tandem kinase WTK4 recognises an RNase-like pathogen effector.

Nature communications·2026
Same journal

Learning regularities in noise engages both neural predictive activity and representational changes.

Nature communications·2026
Same journal

The H3K4 methyltransferase KMT2D is an essential cofactor for GATA1 at erythroid gene enhancers.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: May 7, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.3K

Versatile parallel signal processing with a scalable silicon photonic chip.

Shihan Hong1, Jiachen Wu1, Yiwei Xie2

  • 1State Key Laboratory for Extreme Photonics and Instrumentation, Center for Optical & Electromagnetic Research, College of Optical Science and Engineering, International Research Center for Advanced Photonics (Haining), Zhejiang University, Hangzhou, China.

Nature Communications
|January 2, 2025
PubMed
Summary
This summary is machine-generated.

We developed a scalable silicon photonic signal processor that interleaves wavelength and temporal dimensions for high performance and simplified control. This new design overcomes limitations of traditional optical switches, enabling advanced functionalities without complex calibration.

More Related Videos

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

7.9K
High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

6.8K

Related Experiment Videos

Last Updated: May 7, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.3K
Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

7.9K
High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

6.8K

Area of Science:

  • Photonics and Optical Engineering
  • Integrated Optics
  • Signal Processing

Background:

  • Silicon photonic signal processors offer high bandwidth, low power, and low latency.
  • Traditional programmable photonic processors using optical switches face scalability and performance issues due to control complexity and signal loss.

Purpose of the Study:

  • To propose a scalable parallel signal processor on silicon.
  • To overcome the limitations of existing programmable photonic signal processors.
  • To enable versatile applications with simplified control and high performance.

Main Methods:

  • Interleaving wavelength and temporal optical dimensions for parallel processing.
  • Utilizing ultra-low-loss waveguides and low-phase-error optical switch techniques.
  • Achieving an overall insertion loss of 10 dB.

Main Results:

  • Demonstrated a scalable parallel signal processor with low loss and simplified control.
  • Enabled advanced functionalities including accurate microwave reception, photonic filtering, arbitrary waveform generation, and parallel optical computing.
  • Eliminated the need for tuning element calibration.

Conclusions:

  • The proposed design offers significant advantages in scale and performance for multifunctional photonic systems.
  • This advancement paves the way for large-scale, high-performance photonic signal processing.
  • The technology is suitable for diverse applications requiring efficient signal manipulation.