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

Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
Chunking01:12

Chunking

Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking is...
Buffers: Buffer Capacity01:09

Buffers: Buffer Capacity

Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
In the graph, pH is plotted as a function of the number of moles of base (Cb) added to a weak acid...
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of information more...
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...

You might also read

Related Articles

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

Sort by
Same author

A distortion measure for blocking artifacts in images based on human visual sensitivity.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
Same author

Frequency-domain motion estimation using a complex lapped transform.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1993
Same author

Flexible design of multidimensional perfect reconstruction FIR 2-band filters using transformations of variables.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1993
See all related articles

Related Experiment Video

Updated: Jul 7, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

The EREC: an error-resilient technique for coding variable-length blocks of data.

D W Redmill1, N G Kingsbury

  • 1Centre for Commun. Res., Bristol Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1996
PubMed
Summary

This study introduces the error-resilient entropy code (EREC) to improve data compression resilience against channel errors. EREC offers graceful degradation and maintains high compression efficiency, outperforming traditional synchronization code words.

Related Experiment Videos

Last Updated: Jul 7, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Area of Science:

  • Digital Signal Processing
  • Information Theory
  • Data Compression

Background:

  • Standard data compression methods split signals into blocks, creating variable-length codes sensitive to transmission errors.
  • Synchronization code words mitigate errors but add redundant information, reducing compression efficiency.
  • Existing schemes lack robust error resilience, particularly in noisy channel conditions.

Purpose of the Study:

  • To introduce a novel error-resilient entropy code (EREC) for enhanced data compression.
  • To adapt existing compression schemes for increased resilience to random and burst channel errors.
  • To maintain high compression efficiency while improving error robustness.

Main Methods:

  • Developed the error-resilient entropy code (EREC) as an adaptive method for existing compression schemes.
  • Applied EREC to still image and video compression using Discrete Cosine Transform (DCT) and variable-length coding.
  • Compared EREC performance against schemes utilizing synchronization code words under various channel conditions.

Main Results:

  • EREC demonstrates graceful degradation, maintaining performance as channel conditions worsen.
  • Significant improvements in performance were observed for EREC on noisy channels compared to synchronization code words.
  • EREC is particularly effective for data where initial information within blocks is critical and independent.

Conclusions:

  • The error-resilient entropy code (EREC) provides a superior method for error resilience in data compression.
  • EREC effectively balances high compression ratios with robust performance in error-prone environments.
  • This method offers a significant advancement for applications like image and video transmission over unreliable channels.