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

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
Design Example: Capacitance Multiplier Circuit01:20

Design Example: Capacitance Multiplier Circuit

In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.
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...
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...

You might also read

Related Articles

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

Sort by
Same author

Integration of quantum key distribution and high-throughput classical communications in field-deployed multi-core fibers.

Light, science & applications·2025
Same author

Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks.

Entropy (Basel, Switzerland)·2024
Same author

Robust Universal Inference.

Entropy (Basel, Switzerland)·2021
Same author

Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach.

Entropy (Basel, Switzerland)·2020
Same author

Enhancing the Kramers-Kronig receiver via dispersion-based spatial diversity.

Optics letters·2020
Same author

Statistical distribution of polarization-dependent loss in systems characterized by the hinge model.

Optics letters·2020

Related Experiment Video

Updated: May 19, 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

The underaddressed optical multiple-input, multiple-output channel: capacity and outage.

Ronen Dar1, Meir Feder, Mark Shtaif

  • 1School of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel. ronendar@post.tau.ac.il

Optics Letters
|August 4, 2012
PubMed
Summary

We analyzed optical systems using fewer modes than supported by fiber, crucial for future-proofing. Our study quantifies how this impacts data transmission capacity and reliability.

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: May 19, 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 communications
  • Signal processing

Background:

  • Space-division multiplexing (SDM) enables higher data rates by using multiple spatial modes in optical fibers.
  • Future fiber deployments may exceed current signal processing capabilities, necessitating analysis of systems with fewer addressed modes.

Purpose of the Study:

  • To investigate the performance of optical SDM systems when the number of transmitter and receiver modes is less than the fiber's total supported modes.
  • To analyze the impact of addressed mode count on system capacity and reliability.

Main Methods:

  • Calculation of ergodic capacity for the optical link.
  • Determination of the outage probability.
  • Analysis of performance metrics' dependence on the number of addressed modes.

Main Results:

  • Ergodic capacity and outage probability were calculated for systems with varying numbers of addressed modes.
  • The study quantifies the trade-offs between system complexity and performance.

Conclusions:

  • Understanding the performance limitations is essential for designing future-proof optical networks.
  • The number of addressed modes significantly influences the achievable data rates and reliability in SDM systems.