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

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

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 in...

Transmission Line Design Considerations

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...

Uniform Depth Channel Flow: Problem Solving

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...

Maximum Power Transfer

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...

Uniform Depth Channel Flow

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...

You might also read

Related Articles

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

Sort by

Same author

Motion-related resource allocation in dynamic wireless visual sensor network environments.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2013

Same author

Shape error concealment based on a shape-preserving boundary approximation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2012

Same author

Accurate distortion estimation and optimal bandwidth allocation for scalable H.264 video transmission over MIMO systems.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008

Same author

Joint source-channel coding for motion-compensated DCT-based SNR scalable video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008

Same author

New temporal filtering scheme to reduce delay in wavelet-based video coding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2007

Same author

An image super-resolution algorithm for different error levels per frame.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2006

Search research articles

Related Experiment Videos

Cross-layer optimization for video transmission over multirate GMC-CDMA wireless links.

Saurav K Bandyopadhyay, George Partasides, Lisimachos P Kondi

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|May 17, 2008

Summary

This study optimizes video transmission in wireless generalized multicarrier code division multiple access (GMC-CDMA) systems. The cross-layer method enhances video quality by efficiently allocating resources for scalable video codecs.

Related Experiment Videos

Area of Science:

Wireless communication systems
Information theory
Signal processing

Background:

Generalized Multicarrier Code Division Multiple Access (GMC-CDMA) systems offer deterministic elimination of multiple access interference.
Scalable video codecs and multirate setups are employed, allowing users to access multiple GMC-CDMA channels with varying subcarriers.
Cross-layer optimization is crucial for efficient resource allocation in such complex systems.

Discussion:

A novel cross-layer optimization method is proposed to jointly select source coding rate, channel coding rate, number of subcarriers, and transmission power.
The optimization is performed under constraints of maximum user transmission power and available chip rate.
Universal Rate Distortion Characteristics (URDC) are utilized for approximating expected receiver distortion.

Key Insights:

The proposed algorithm achieves optimality in the operational rate-distortion sense within the specified system setup and URDC approximation.
Experimental results demonstrate the effectiveness of the cross-layer optimization for video transmission over GMC-CDMA.
The method balances video quality and system resource utilization.

Outlook:

Future research could explore adaptive URDC models for improved accuracy.
Investigating the impact of channel variations on the proposed optimization is a potential area for future work.
Extending the framework to other advanced wireless transmission schemes could be beneficial.