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Related Concept Videos

Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

374
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
374
Lossless Lines01:23

Lossless Lines

593
In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
593
Reducing Line Loss01:18

Reducing Line Loss

406
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
406
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

503
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
503
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

449
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...
449
Line Loss01:10

Line Loss

560
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
560

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Related Experiment Video

Updated: Mar 2, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.2K

The evolution of lossy compression.

Sarah E Marzen1,2, Simon DeDeo3,4

  • 1Physics of Living Systems, Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.

Journal of the Royal Society, Interface
|May 12, 2017
PubMed
Summary
This summary is machine-generated.

Organisms face a trade-off between perceiving their environment and the resources required. This study reveals two perceptual cost regimes: linear growth in complexity and a surprising independence from environmental states in low-fidelity perception.

Keywords:
information theorylossy compressionneuroscienceperceptionrate–distortionsignalling

Related Experiment Videos

Last Updated: Mar 2, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.2K

Area of Science:

  • Theoretical Ecology
  • Information Theory
  • Sensory Biology

Background:

  • Organisms must balance acquiring information with the energetic costs of perception.
  • Complex environments present challenges in tracking fitness-relevant data.
  • Understanding the perception-information trade-off is crucial for ecological and evolutionary studies.

Purpose of the Study:

  • To investigate the relationship between environmental complexity and perceptual costs.
  • To apply rate-distortion theory to model this trade-off in large, unstructured environments.
  • To identify distinct regimes of perceptual cost as environmental complexity increases.

Main Methods:

  • Utilized rate-distortion theory from information theory.
  • Modeled large, unstructured environments with random penalties for stimulus confusion (distortions).
  • Analyzed the mathematical relationship between environmental states and perceptual resource allocation.

Main Results:

  • Identified two distinct regimes: high-fidelity and low-fidelity perception.
  • In the high-fidelity regime, perceptual costs increase linearly with environmental complexity.
  • In the low-fidelity regime, perceptual costs become independent of the number of environmental states.

Conclusions:

  • Organisms can adapt to increasing environmental complexity by operating in a low-fidelity perceptual regime.
  • This suggests that even in highly complex environments, organisms can achieve minimal, yet sufficient, environmental discrimination.
  • The findings provide a theoretical framework for understanding sensory resource allocation in diverse ecological settings.