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

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...
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...
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.
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...
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...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...

You might also read

Related Articles

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

Sort by
Same author

The effect of imagery perspectives on the psychophysiological responses to imagined exercise.

Behavioural brain research·1992
Same author

A yeast protein phosphatase related to the vaccinia virus VH1 phosphatase is induced by nitrogen starvation.

Proceedings of the National Academy of Sciences of the United States of America·1992
Same author

Expression of Hox-7.1 in myoblasts inhibits terminal differentiation and induces cell transformation.

Nature·1992
Same author

Studies on the luminescence of channels in rats and its law of changes with "syndromes" and treatment of acupuncture and moxibustion.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan·1992
Same author

Polymorphic dinucleotide repeat in a cartilage matrix protein (CRTM) gene.

Human molecular genetics·1992
Same author

[A software design for standard grayscale printout of China-made automatic static quantitative TBC visual field analyser].

Yan ke xue bao = Eye science·1992

Related Experiment Video

Updated: Jul 7, 2026

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

A set of transformations for lossless image compression.

Y Wang1

  • 1Inst. of Autom., Acad. Sinica, Beijing.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

New transformations improve lossless image compression by utilizing binary arithmetic and prediction error distribution. Bit plane coding in the transformed image enhances efficiency, proving useful in experiments.

Related Experiment Videos

Last Updated: Jul 7, 2026

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

Area of Science:

  • Computer Science
  • Image Processing
  • Data Compression

Background:

  • Lossless image compression is crucial for preserving image fidelity.
  • Existing methods may have limitations in efficiency or complexity.
  • Understanding prediction error distribution is key to effective compression.

Purpose of the Study:

  • To introduce novel transformations for lossless image compression.
  • To leverage binary arithmetic operations and spatial prediction error properties.
  • To enhance compression efficiency through a new transformation approach.

Main Methods:

  • Developed transformations based on binary arithmetic properties.
  • Analyzed the spatial probability distribution of prediction errors.
  • Applied bit plane coding to the transformed image data.

Main Results:

  • The proposed transformations are easily implementable.
  • Experimental results demonstrate the utility of the transformations.
  • The approach shows promise for lossless image compression applications.

Conclusions:

  • The novel transformations offer a viable method for lossless image compression.
  • Combining binary arithmetic and prediction error analysis is effective.
  • The technique provides a practical enhancement to image compression.