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

Design Example01:23

Design Example

The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
Maximum Power Transfer01:16

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
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

Silicon-photonics transmitter using ultra-wideband quantum-dot comb laser-diode towards 34.132 Tbit/s/fiber.

Optics express·2026
Same author

A Multi-Feature Fusion Framework for Automated Classification of Obstructive and Central Hypopneas in Polysomnography.

IEEE transactions on bio-medical engineering·2026
Same author

Adaptive optical beam tracking and alignment system with a wide field-of-view for optical wireless communication.

Optics express·2026
Same author

Lexical feature analysis of Chinese informed consent forms based on the information entropy methods: A paired study of minor and their guardian' version.

PloS one·2025
Same author

Improving Visible Light Positioning Accuracy Using Particle Swarm Optimization (PSO) for Deep Learning Hyperparameter Updating in Received Signal Strength (RSS)-Based Convolutional Neural Network (CNN).

Sensors (Basel, Switzerland)·2025
Same author

Enhanced Respiratory Sinus Arrhythmia Quantification Using Variational Mode Decomposition and Multimodal Coupling Analysis for Emotion Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: May 13, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Service integrated access network using highly spectral-efficient MASK-MQAM-OFDM coding.

Jiun-Yu Sung1, Chi-Wai Chow, Chien-Hung Yeh

  • 1Department of Photonics and Institute of Electro-Optical Engineering, National Chiao Tung University, Hsinchu 300-10, Taiwan.

Optics Express
|March 14, 2013
PubMed
Summary

A novel M-ary amplitude shift keying M-ary quadrature amplitude modulation orthogonal frequency division multiplexing (MASK-MQAM-OFDM) enables seamless integration of passive optical networks (PON), fiber-to-the-antenna (FTTA), and visible light communication (VLC) without extra bandwidth.

More Related Videos

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

Related Experiment Videos

Last Updated: May 13, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

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

Area of Science:

  • Optoelectronics and Communications Engineering
  • Signal Processing for Optical Networks

Background:

  • Existing access networks face challenges in integrating diverse services like PON, FTTA, and VLC efficiently.
  • Bandwidth limitations hinder seamless service convergence in current optical and wireless communication systems.

Purpose of the Study:

  • To propose and demonstrate a highly spectral-efficient MASK-MQAM-OFDM modulation scheme.
  • To achieve seamless integration of PON, FTTA, and VLC services within a unified framework.
  • To analyze the performance trade-offs between spectral efficiency and upstream signal quality.

Main Methods:

  • Development of a novel MASK-MQAM-OFDM modulation technique.
  • Experimental demonstration of a proof-of-concept system.
  • Investigation of the relationship between spectral efficiency and upstream signal performance.

Main Results:

  • The proposed MASK-MQAM-OFDM achieves high spectral efficiency.
  • Seamless integration of PON, FTTA, and VLC services was experimentally validated.
  • The study identified key performance characteristics related to spectral efficiency.

Conclusions:

  • MASK-MQAM-OFDM is a promising technology for integrated access networks.
  • The proposed scheme offers efficient bandwidth utilization for multiple communication services.
  • Further analysis confirms the feasibility of high spectral efficiency in next-generation access networks.