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

Fast Fourier Transform01:10

Fast Fourier Transform

The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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...
Properties of the z-Transform I01:17

Properties of the z-Transform I

The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

[Risk factors analysis of systemic adverse reactions to subcutaneous immunotherapy for dust mites in children with respiratory allergic diseases].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2026
Same author

[Surgical characteristics of endoscopic and da Vinci robot-assisted thyroidectomy and the clinical outcomes of thyroidectomy via the unilateral axillary gasless approach].

Zhonghua yi xue za zhi·2025
Same author

[A clinical analysis on the distribution characteristics of dermatophagoides pteronyssinus allergen components among children with allergic rhinitis and asthma in a hospital of pediatric in Shenzhen City from 2021 to 2024].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2024
Same author

Discovery of New Isotopes ^{160}Os and ^{156}W: Revealing Enhanced Stability of the N=82 Shell Closure on the Neutron-Deficient Side.

Physical review letters·2024
Same author

[Evaluation of the effect of internet-based dietary self-management on blood pressure in high-risk population of hypertension in Haikou City community].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2023
Same author

[Early efficacy of three dimensional printed anatomical biomimetic cervical artificial disc replacement in the treatment of cervical degenerative diseases].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2022

Related Experiment Video

Updated: Jun 8, 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

Butterfly interconnection networks and their applications in information processing and optical computing:

D G Sun, N X Wang, L M He

    Applied Optics
    |September 24, 2010
    PubMed
    Summary

    This study explores butterfly networks for optical information processing. It details one- and two-dimensional networks and their application in fast Fourier transforms, proposing a novel optical system for parallel computing.

    More Related Videos

    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: Jun 8, 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

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Area of Science:

    • Optical Information Processing
    • Computer Science
    • Network Architecture

    Background:

    • The advancement of optical information processing necessitates research into massive, parallel computing.
    • Butterfly networks are fundamental structures for efficient data routing and parallel processing.

    Purpose of the Study:

    • To investigate one- and two-dimensional butterfly interconnection networks and their transformations.
    • To analyze fast Fourier transform algorithms and their implementation using butterfly networks.
    • To propose and study a novel optical network system for advanced information processing.

    Main Methods:

    • Construction and analysis of one- and two-dimensional butterfly networks.
    • Algorithm analysis for one- and two-dimensional fast Fourier transforms.
    • Computer simulations to validate network performance.
    • Design and study of a new optical butterfly network hardware system.

    Main Results:

    • Established the relationship and transformation between one- and two-dimensional butterfly networks.
    • Successfully built and simulated butterfly networks for fast Fourier transform implementation.
    • Attained computer-simulation results demonstrating network efficacy.
    • Proposed a novel optical network architecture using binary phase diffraction gratings.

    Conclusions:

    • Butterfly networks are suitable for implementing fast Fourier transforms in optical information processing.
    • The proposed optical butterfly network system offers advantages for massive and parallel processing.
    • This research contributes to the development of advanced optical computing hardware.