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Lossless Lines01:23

Lossless Lines

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...
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

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...
Reducing Line Loss01:18

Reducing Line Loss

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...
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...
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

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.
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...

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Related Experiment Video

Updated: Jul 7, 2026

Real-Time Imaging of Bonding in 3D-Printed Layers
04:36

Real-Time Imaging of Bonding in 3D-Printed Layers

Published on: September 1, 2023

The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS.

M J Weinberger1, G Seroussi, G Sapiro

  • 1Hewlett-Packard Laboratories, Palo Alto, CA 94304, USA. marcelo@hpl.hp.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
Summary
This summary is machine-generated.

LOCO-I (LOw COmplexity LOssless COmpression for Images) is a low-complexity algorithm for lossless image compression, now part of the JPEG-LS standard. It achieves high compression ratios comparable to complex methods but with significantly reduced computational demands.

Related Experiment Videos

Last Updated: Jul 7, 2026

Real-Time Imaging of Bonding in 3D-Printed Layers
04:36

Real-Time Imaging of Bonding in 3D-Printed Layers

Published on: September 1, 2023

Area of Science:

  • Computer Science
  • Image Processing
  • Data Compression

Background:

  • Existing lossless image compression methods often involve high computational complexity.
  • The need for efficient and effective compression algorithms for continuous-tone images is critical in digital imaging.

Purpose of the Study:

  • To introduce and explain the LOCO-I algorithm, the core of the JPEG-LS standard.
  • To highlight the design principles that enable low complexity and high compression performance.
  • To discuss the successful standardization of LOCO-I into JPEG-LS.

Main Methods:

  • Utilizing a low complexity projection of universal context modeling.
  • Employing a simple fixed context model to capture high-order dependencies.
  • Integrating adaptively chosen Golomb-type codes and alphabet extension for efficient coding.

Main Results:

  • LOCO-I achieves compression ratios similar or superior to state-of-the-art arithmetic coding schemes.
  • The algorithm demonstrates performance within a few percentage points of the best available compression ratios.
  • Significantly lower complexity compared to existing high-performance compression techniques.

Conclusions:

  • LOCO-I offers a compelling balance of compression efficiency and low computational complexity.
  • Its integration into the JPEG-LS standard provides a practical solution for lossless continuous-tone image compression.
  • The algorithm's design represents a significant advancement in efficient image compression technology.