Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Downsampling

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...

Lossy Lines and Overvoltages

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 Lines

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...

Reducing Line Loss

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...

Upsampling

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...

Traveling Waves: Lossless Lines

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.

You might also read

Related Articles

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

Sort by

Same author

Heuristic Method for Minimizing Model Size of CNN by Combining Multiple Pruning Techniques.

Sensors (Basel, Switzerland)·2022

Same author

Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo.

Sensors (Basel, Switzerland)·2021

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 27, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding.

Shinichi Yamagiwa^1,2, Yuma Ichinomiya³

¹Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.

Sensors (Basel, Switzerland)

|July 20, 2021

Summary

This study introduces Adaptive Differential Pulse Code Modulation with Variable Bit-Length (ADPCM-VBL) for visually lossless video compression. The novel method enhances video transfer systems by enabling autonomous throughput control and low-latency, high-accuracy data transmission.

Keywords:

ADPCM ASE coding data compression lossless data compression stream-based data compression visual data compression

More Related Videos

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Related Experiment Videos

Last Updated: Oct 27, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

Engineering
Computer Science
Signal Processing

Background:

Video applications are prevalent, relying on server-client systems over the internet.
Current video encoding primarily uses lossy compression (e.g., MPEG), unsuitable for high-accuracy needs.
Visually lossless compression is required for applications demanding precise pixel information.

Purpose of the Study:

To develop a novel Adaptive Differential Pulse Code Modulation (ADPCM) with dynamic bit-length control.
To propose a video transfer system integrating this new ADPCM for efficient, high-fidelity video transmission.
To achieve autonomous throughput control in communication data paths for specialized video applications.

Main Methods:

Introduction of Adaptive Differential Pulse Code Modulation with Variable Bit-Length (ADPCM-VBL).
Integration of ADPCM-VBL with lossless data compression techniques.
Development of a video transfer system with autonomous throughput control.
Evaluation of encoding performance and image quality.

Main Results:

The proposed ADPCM-VBL enables dynamic control over encoding bit length.
Combined ADPCM-VBL and lossless compression effectively reduce data size while maintaining visual fidelity.
The video transfer system demonstrated autonomous throughput control.
Evaluations confirmed effective performance for visually lossless compression needs.

Conclusions:

The novel ADPCM-VBL provides a robust solution for visually lossless video compression.
The proposed system effectively supports high-accuracy video applications requiring low latency.
This approach advances video transfer systems by enabling efficient, high-fidelity data transmission.