Viterbi algorithm

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The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of observed events, especially in the context of Markov information sources, and more generally, hidden Markov models. (Wikipedia.org)






Conferences related to Viterbi algorithm

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Magnetic Conference (INTERMAG)

INTERMAG is the premier conference on all aspects of applied magnetism and provides a range of oral and poster presentations, invited talks and symposia, a tutorial session, and exhibits reviewing the latest developments in magnetism.


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


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Periodicals related to Viterbi algorithm

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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Most published Xplore authors for Viterbi algorithm

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Xplore Articles related to Viterbi algorithm

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Sessions: VLSI design for error-correcting codes

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: Viterbi decoding VLSI design and performance; trellis partitioning; variable-rate sequential decoding; data broadcast decoding; Reed-Solomon code systolic arrays and chips.<<ETX>>


PDF Not Yet Available In IEEE Xplore

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

The document that should appear here is not currently


On the problem of blind equalization considering abrupt changes in the channel characteristics

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

The problem of blind equalization in a digital communication system is considered. Unfortunately, the circuit might suffer from abrupt changes. Thus, it is critical not to ignore this phenomenon when the problem of blind equalization is analyzed. The proposed method, which is based on an Ito stochastic differential calculus approach, describes the dynamics of the output signal with an infinite ...


Session: coded modulation systems

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: trellis coded modulation; CPFSK system parameter determination; optical direct detection channels; discriminator detection; information bit error rate; and slow nonselective Rayleigh fading.<<ETX>>


Session: decoding of trellis codes

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: long-constraint-length Viterbi decoding; linear complexity decoding; convolutional codes; intersymbol interference channels; syndrome sequential decoding; and path memory simplification by metric normalisation.<<ETX>>


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IEEE.tv Videos

Medal Of Honor: Dr. Andrew Viterbi
The 2010 IEEE Honors Ceremony
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
Algorithm recommendation using metalearning
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 2
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 1
Learning Method of the SIC Fuzzy Inference Model - Genki Ohashi - ICRC San Mateo, 2019
Interview with Shlomo Shamai, Part 2 - IEEE VIC Summit 2017
Interview with Shlomo Shamai, Part 1 - IEEE VIC Summit 2017
Is Your Algorithm Dangerous? Lyria Bennett Moses - Ignite: Sections Congress 2017
Innovative Wireless Technologies for Healthcare, VR, and Smart Cities - Dina Katabi - Brooklyn 5G Summit 2018
Co-Design of Algorithms & Hardware for DNNs - Vivienne Sze - LPIRC 2019
Van Jacobson: The Slow-Start Algorithm
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
Combinatorial Sleeping Bandits with Fairness Constraints - Bo Ji - IEEE Sarnoff Symposium, 2019
Learning through Deterministic Assignment of Hidden Parameter
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Ponnuthurai Nagaratnam Suganthan - Differential Evolution
Multiobjective Quantum-inspired Evolutionary Algorithm and Preference-based Solution Selection Algorithm
IROS TV 2019- How to Build a Robot: Vision Based Estimation of Driving Energy for Planetary Rovers

IEEE-USA E-Books

  • Sessions: VLSI design for error-correcting codes

    The following topics are dealt with: Viterbi decoding VLSI design and performance; trellis partitioning; variable-rate sequential decoding; data broadcast decoding; Reed-Solomon code systolic arrays and chips.<<ETX>>

  • PDF Not Yet Available In IEEE Xplore

    The document that should appear here is not currently

  • On the problem of blind equalization considering abrupt changes in the channel characteristics

    The problem of blind equalization in a digital communication system is considered. Unfortunately, the circuit might suffer from abrupt changes. Thus, it is critical not to ignore this phenomenon when the problem of blind equalization is analyzed. The proposed method, which is based on an Ito stochastic differential calculus approach, describes the dynamics of the output signal with an infinite impulse response (IIR) model where the involved taps are modeled as time-varying cadlag (contimi à droite limites à gauche) processes. Therefore, nonlinear and time-variant changes in the channel characteristics are included.

  • Session: coded modulation systems

    The following topics are dealt with: trellis coded modulation; CPFSK system parameter determination; optical direct detection channels; discriminator detection; information bit error rate; and slow nonselective Rayleigh fading.<<ETX>>

  • Session: decoding of trellis codes

    The following topics are dealt with: long-constraint-length Viterbi decoding; linear complexity decoding; convolutional codes; intersymbol interference channels; syndrome sequential decoding; and path memory simplification by metric normalisation.<<ETX>>

  • Segmental LVQ3 training for phoneme-wise tied mixture density HMMS

    This work presents training methods and recognition experiments for phoneme- wise tied mixture densities in hidden Markov models (HMM). The system trains speaker dependent, but vocabulary independent, phoneme models for the recognition of Finnish words. The Learning Vector Quantization (LVQ) methods are applied to increase the discrimination between the phoneme models. A segmental LVQ3 training is proposed to substitute the LVQ2 based corrective tuning as a parameter estimation method. The experiments indicate that the new method can provide the corresponding recognition accuracy, but with less training and more robustness over the initial models. Experiments to upscale the current system by introducing context vectors and larger mixture pools show up to 40 % reduction of recognition errors compared to the earlier results in [10].

  • Enhanced Turbo Decoding for Error Floor Reduction

    In this paper, we consider enhanced decoding of turbo codes in the error floor region. Allowing no modifications at the transmitter side, we focus on enhanced decoding algorithms which aim principally at reducing the error floor. We employ a combination of two methods which have been applied separately in the literature: the correction impulse method (CIM) and the list Viterbi algorithm (LVA). We explicitly consider the impact of a practical error detection code and show its limitations.

  • Crosstalk cancellation and memory truncation in transmultiplexer filter banks — Transmission over non-ideal channels

    When transmultiplexers with overlapping frequency bands are used for the transmission of data over non-ideal channels, intersymbol interference and crosstalk between different data channels will arise. This paper addresses the design of optimal linear networks that reduce the effects mentioned above. A receiver structure based on a combination of crosstalk reduction, memory truncation and Viterbi detection will be proposed. The filter design method presented here is based on the maximization of a signal-to-noise ratio (SNR) at the detector input. The SNR will be defined for channel memories being truncated to arbitrary lengths. Thus, low-complexity Viterbi detectors working independently for all data channels can be used. The design of minimum mean squares error (MMSE) equalizer networks is included in the framework.

  • Session: coded modulation with reduced complexity

    The following topics are dealt with: multilevel channel codes; partitioning; trellis codes; cascaded error control systems; and binary convolutional codes.<<ETX>>

  • Session: intersymbol interference channels

    The following topics are dealt with: decoding receiver performance; sequential sequence estimation; joint coding and equalisation; multipath fading radio channel outage probability; offset DPSK error probability and discrete-time channel symmetric cutoff rate.<<ETX>>



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