For relatively small values of k, the Viterbi algorithm is universally used as it provides maximum likelihood performance and is highly parallelizable.

An approximate confidence measure can be added to each bit by use of the Soft output Viterbi algorithm.

* Longer constraint lengths produce more powerful codes, but the complexity of the Viterbi algorithm increases exponentially with constraint lengths, limiting these more powerful codes to deep space missions where the extra performance is easily worth the increased decoder complexity.

The Viterbi decoder implements a soft-decision algorithm to demodulate digital data from an analog signal corrupted by noise.

* Apply a sequence detector at the receiver, that attempts to estimate the sequence of transmitted symbols using the Viterbi algorithm.

A common approach is to use a variant of the Viterbi algorithm.

* The Viterbi algorithm ( used for hidden Markov models )

** with constraint length less than 10, usually decoded using a Viterbi algorithm ( see Viterbi decoder );

The terms " Viterbi path " and " Viterbi algorithm " are also applied to related dynamic programming algorithms that discover the single most likely explanation for an observation.

For example, in statistical parsing a dynamic programming algorithm can be used to discover the single most likely context-free derivation ( parse ) of a string, which is sometimes called the " Viterbi parse ".

The Viterbi algorithm was proposed by Andrew Viterbi in 1967 as a decoding algorithm for convolutional codes over noisy digital communication links.

The Viterbi algorithm finds the most likely string of text given the acoustic signal.

A variant of the CYK algorithm finds the Viterbi parse of a sequence for a given SCFG.

The Viterbi algorithm is the optimum algorithm used to decode convolutional codes.

In 1967 he invented the Viterbi algorithm, which he used for decoding convolutionally encoded data.

The Information Sciences Institute ( ISI ) is a research and development unit of the University of Southern California's Viterbi School of Engineering which focuses on computer and communications technology and information processing.

Unlike Viterbi decoding, sequential decoding is not maximum likelihood but its complexity increases only slightly with constraint length, allowing the use of strong, long-constraint-length codes.

He is the Andrew and Erna Viterbi Professor of Computer Science at MIT's Department of Electrical Engineering and Computer Science ( EECS ) and a member of MIT's Computer Science and Artificial Intelligence Laboratory ( CSAIL ).

Typically, the frame is decoded at each possible rate, and using the quality metrics of the Viterbi decoder, the correct result is chosen.

The Viterbi parse is the most likely derivation ( parse ) of the sequence by the given SCFG.

Andrew James Viterbi ( born Andrea James Viterbi ; March 9, 1935 ) is an Italian-American electrical engineer and businessman who co-founded Qualcomm Inc.

He was also the co-founder of Qualcomm Inc. with Dr. Jacobs in 1985., he is the president of the venture capital company The Viterbi Group.

It is known that the Viterbi algorithm is unable to calculate APP, thus it cannot be used in.

For, the Viterbi algorithm is an appropriate one.

The Viterbi School of Engineering ( formerly the USC School of Engineering ) is located at the University of Southern California in the United States.

The Viterbi School of Engineering is currently ranked No. 11 nationally by U. S. News and World Report.

Among the many organizations on campus, the Associated Students of Biomedical Engineering ( ASBME ) is an undergraduate student organization for biomedical engineering students at the USC Viterbi School of Engineering.

The Viterbi Graduate Students ' Association ( VGSA ) is the students ' body for about 3, 300 Graduate students at USC.

A similar algorithm is commonly referred to as the Viterbi algorithm, but also known as the max-product or min-sum algorithm, which solves the related problem of maximization, or most probable explanation.

Viterbi also helped to develop the CDMA standard for cell phone networks.

Viterbi earned it for " the invention of the Viterbi algorithm ".< ref >

The Viterbi School received other major gifts including gifts from Silicon Valley venture capitalist Mark Stevens who created the USC Stevens Institute for Innovation in 2004 ; real estate developer Daniel J. Epstein who named the Epstein Department of Industrial and Systems Engineering with an $ 11 million gift in 2002 ; Energy Corporation of America CEO John Mork who named the Mork Family Department of Chemical Engineering and Materials Science with a $ 15 million gift in 2005 ; Ken Klein, CEO and president of Wind River Systems, who established the Klein Institute for Undergraduate Engineering Life with an $ 11 million gift, also in 2005 ; Ming Hsieh, founder of Cogent Inc., who named the Ming Hsieh Department of Electrical Engineering in 2006 with a $ 35 million gift ; and Los Angeles real estate developer Sonny Astani, who named the Sonny Astani Department of Civil and Environmental Engineering with a $ 17 million gift in 2007.

Their methods were similar to the Viterbi algorithm known for some time in other fields.

Some current major algorithms for part-of-speech tagging include the Viterbi algorithm, Brill Tagger, Constraint Grammar, and the Baum-Welch algorithm ( also known as the forward-backward algorithm ).

Caterpillar Inc. has provided funding for the Viterbi project since the summer of 2008.

A Viterbi decoder uses the Viterbi algorithm for decoding a bitstream that has been

Viterbi decoding was developed by Andrew J. Viterbi and published in the paper " Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm ", IEEE Transactions on Information Theory, Volume IT-13, pages 260-269, in April, 1967.

A hardware Viterbi decoder for basic ( not punctured ) code usually consists of the following major blocks:

" Hardwired " ( as opposed to software programmable soft microprocessors described above ) digital logic IP cores are also licensed for fixed functions such as MP3 audio decode, 3D GPU, digital video decode, and other DSP functions such as FFT, DCT, or Viterbi coding.

The same structure can also be found in the Viterbi algorithm, used for finding the most likely sequence of hidden states.

Both Viterbi and sequential decoding algorithms return hard-decisions: the bits that form the most likely codeword.

In order to achieve the most likely sequence, the Viterbi algorithm is required.

The Viterbi algorithm is the most resource-consuming, but it does the maximum likelihood decoding.