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Related Concept Videos

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...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
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...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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...

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Related Experiment Video

Updated: Jul 15, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Rate-distortion optimal video transport over IP allowing packets with bit errors.

Oztan Harmanci1, A Murat Tekalp

  • 1Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627-0126, USA. harmanci@ece.rochester.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 12, 2007
PubMed
Summary

We developed new methods for optimal video delivery over IP, even with bit errors. Our approach enhances video quality by intelligently protecting data packets, improving transmission efficiency.

Related Experiment Videos

Last Updated: Jul 15, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Theory

Background:

  • Video streaming over IP networks faces challenges with packet loss and bit errors, degrading quality.
  • Existing methods often lack optimal rate-distortion (RD) efficiency when handling imperfect packet delivery.

Purpose of the Study:

  • To propose novel models and methods for RD-optimal video delivery over IP networks, specifically addressing scenarios with bit errors.
  • To enable efficient video transmission by optimizing packet slicing and unequal error protection (UEP).

Main Methods:

  • Developed RD-optimal methods for packet slicing and UEP, adaptable to both independent-layer and cross-layer transport models.
  • Utilized a novel dynamic programming approach for practical, AVC/H.264-compliant UEP configuration.
  • Introduced new rate and distortion estimation techniques for efficient objective function evaluation.

Main Results:

  • The proposed framework supports optimal slicing and UEP, allowing transmission of packets with bit errors.
  • The cross-layer option enables spatial UEP, prioritizing protection for critical frame regions.
  • Experimental results show significant gains, up to 2.0 dB, compared to existing methods.

Conclusions:

  • The proposed system components offer substantial improvements for video delivery over IP with bit errors.
  • The dynamic programming and UEP strategies enhance video quality and transmission robustness.
  • This work provides a practical and efficient solution for reliable video streaming in challenging network conditions.