Publication

Modeling of distortion caused by Markov-model burst packet losses in video transmission

Yi Zhang
2009
Conference Papers

Abstract

This paper addresses the problem of distortion modeling for video transmission over burst-loss channels characterized by a finite state Markov chain. A Distortion Trellis model is pro- posed, enabling us to estimate at the frame level the expected mean-square error (MSE) distortion caused by Markov-model bursty packet losses. A sliding window algorithm is devel- oped to perform the MSE estimation with low complexity. Simulation results show that the proposed models are accu- rate for all tested average loss rates and average burst lengths.

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https://infoscience.epfl.ch/entities/publication/2a84a183-e479-46a2-8ecc-a0cf3d2b6901

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Yi Zhang
2009
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/2a84a183-e479-46a2-8ecc-a0cf3d2b6901

About this result

Related concepts (32)

Distortion (music)

Distortion and overdrive are forms of audio signal processing used to alter the sound of amplified electric musical instruments, usually by increasing their gain, producing a "fuzzy", "growling", or "gritty" tone. Distortion is most commonly used with the electric guitar, but may also be used with other electric instruments such as electric bass, electric piano, synthesizer and Hammond organ. Guitarists playing electric blues originally obtained an overdriven sound by turning up their vacuum tube-powered guitar amplifiers to high volumes, which caused the signal to distort.

Distortion

In signal processing, distortion is the alteration of the original shape (or other characteristic) of a signal. In communications and electronics it means the alteration of the waveform of an information-bearing signal, such as an audio signal representing sound or a video signal representing images, in an electronic device or communication channel. Distortion is usually unwanted, and so engineers strive to eliminate or minimize it. In some situations, however, distortion may be desirable.

Markov chain

A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Informally, this may be thought of as, "What happens next depends only on the state of affairs now." A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC). A continuous-time process is called a continuous-time Markov chain (CTMC).

Related publications (32)

Modeling of distortion caused by Markov-model burst packet losses in video transmission

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