Forward Error Correction Video Streaming
Please note that Internet Explorer version 8.x will not be supported as of January 1, 2016. Please refer to this blog post for more information. Close ScienceDirectSign inSign in using your ScienceDirect credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution loginHelpJournalsBooksRegisterJournalsBooksRegisterSign inHelpcloseSign in using your ScienceDirect credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution login Purchase Help Direct export Export file RIS(for EndNote, Reference Manager, ProCite) BibTeX Text RefWorks Direct Export Content Citation Only Citation and Abstract Advanced search JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. This page uses JavaScript to progressively load the article content as a user scrolls. Click the View full text link to bypass dynamically loaded article content. View full text Computer NetworksVolume 92, Part 1, 9 December 2015, Pages 134–147 Real-time video streaming using prediction-based forward error correctionYung-Tsung WengaAuthor Vitae, Chi-Huang Shihb, , Author Vitae, Chun-I KuoaAuthor Vitae, Ce-Kuen ShiehaAuthor Vitaea Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University (NCKU), Tainan, Taiwan, ROCb Department of Computer Science and Information Engineering, Hung Kuang University, Taichung, Taiwan, ROCReceived 25 March 2015, Revised 17 September 2015, Accepted 19 September 2015, Available online 3 October 2015AbstractReal-time video streaming applications typically use an on-line forward error correction (FEC) technique to recover transmission losses with a low delay overhead. However, transmitting prioritized video data over variable-rate transmission channels complicates the FEC rate allocation process. Specifically, on-line FEC schemes result in an inefficient utilization of the avail
(Discuss) Proposed since January 2015. In telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding[1] is a technique used for controlling errors in data transmission over unreliable or noisy communication channels. The central idea is the sender encodes the message in a redundant way by using an error-correcting code (ECC). The American mathematician Richard Hamming pioneered this field in the 1940s and invented the first error-correcting code in 1950: the Hamming (7,4) code.[2] The redundancy allows the receiver to detect a limited number of errors that may occur anywhere in the message, and often to correct these errors without retransmission. FEC gives http://www.sciencedirect.com/science/article/pii/S138912861500331X the receiver the ability to correct errors without needing a reverse channel to request retransmission of data, but at the cost of a fixed, higher forward channel bandwidth. FEC is therefore applied in situations where retransmissions are costly or impossible, such as one-way communication links and when transmitting to multiple receivers in multicast. FEC information is usually added to mass storage devices to enable recovery of corrupted data, and is https://en.wikipedia.org/wiki/Forward_error_correction widely used in modems. FEC processing in a receiver may be applied to a digital bit stream or in the demodulation of a digitally modulated carrier. For the latter, FEC is an integral part of the initial analog-to-digital conversion in the receiver. The Viterbi decoder implements a soft-decision algorithm to demodulate digital data from an analog signal corrupted by noise. Many FEC coders can also generate a bit-error rate (BER) signal which can be used as feedback to fine-tune the analog receiving electronics. The noisy-channel coding theorem establishes bounds on the theoretical maximum information transfer rate of a channel with some given noise level. Some advanced FEC systems come very close to the theoretical maximum. The maximum fractions of errors or of missing bits that can be corrected is determined by the design of the FEC code, so different forward error correcting codes are suitable for different conditions. Contents 1 How it works 2 Averaging noise to reduce errors 3 Types of FEC 4 Concatenated FEC codes for improved performance 5 Low-density parity-check (LDPC) 6 Turbo codes 7 Local decoding and testing of codes 8 Interleaving 8.1 Example 8.2 Disadvantages of interleaving 9 List of error-correcting codes 10 See also 11 References 12 Further reading 13 External lin
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