Neri Merhav

Orcid: 0000-0002-9547-3243

Affiliations:
  • Technion - Israel Institute of Technology, Haifa, Israel


According to our database1, Neri Merhav authored at least 296 papers between 1989 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1999, "For contributions to universal methods of prediction and data compression.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Refinements and Extensions of Ziv's Model of Perfect Secrecy for Individual Sequences.
Entropy, June, 2024

Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders.
Entropy, February, 2024

The Secrecy Capacity of the Wiretap Channel With Additive Noise and Rate-Limited Help.
IEEE Trans. Inf. Theory, January, 2024

On Jacob Ziv's Individual-Sequence Approach to Information Theory.
CoRR, 2024

A Toolbox for Refined Information-Theoretic Analyses with Applications.
CoRR, 2024

Optimal Signals and Detectors Based on Correlation and Energy.
CoRR, 2024

Universal Slepian-Wolf coding for individual sequences.
CoRR, 2024

2023
Error Exponents of the Dirty-Paper and Gel'fand-Pinsker Channels.
IEEE Trans. Inf. Theory, December, 2023

A Universal Random Coding Ensemble for Sample-Wise Lossy Compression.
Entropy, August, 2023

D-Semifaithful Codes That are Universal Over Both Memoryless Sources and Distortion Measures.
IEEE Trans. Inf. Theory, July, 2023

Codebook Mismatch can be Fully Compensated by Mismatched Decoding.
IEEE Trans. Inf. Theory, April, 2023

Some Families of Jensen-like Inequalities with Application to Information Theory.
Entropy, 2023

Modulation and Estimation with a Helper.
CoRR, 2023

Trade-offs Between Weak-Noise Performance and Probability of Anomaly in Parameter Estimation from Noisy Chaotic Signals.
CoRR, 2023

The Secrecy Capacity of Gaussian Wiretap Channels with Rate-Limited Help at the Encoder.
Proceedings of the IEEE Information Theory Workshop, 2023

2022
The DNA Storage Channel: Capacity and Error Probability Bounds.
IEEE Trans. Inf. Theory, 2022

Universal Decoding for the Typical Random Code and for the Expurgated Code.
IEEE Trans. Inf. Theory, 2022

Optimal Correlators and Waveforms for Mismatched Detection.
IEEE Trans. Inf. Theory, 2022

Finite-State Source-Channel Coding for Individual Source Sequences With Source Side Information at the Decoder.
IEEE Trans. Inf. Theory, 2022

On More General Distributions of Random Binning for Slepian-Wolf Encoding.
IEEE Trans. Inf. Theory, 2022

Guessing Based on Compressed Side Information.
IEEE Trans. Inf. Theory, 2022

Universal Randomized Guessing Subject to Distortion.
IEEE Trans. Inf. Theory, 2022

Reversing Jensen's Inequality for Information-Theoretic Analyses.
Inf., 2022

The Secrecy Capacity of The Gaussian Wiretap Channel with Rate-Limited Help.
CoRR, 2022

Encoding Individual Sequences for the Wiretap Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2022

The Secrecy Capacity of The Gaussian Wiretap Channel with Rate-Limited Help at the Decoder.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Error Exponents in the Bee Identification Problem.
IEEE Trans. Inf. Theory, 2021

On Error Exponents of Encoder-Assisted Communication Systems.
IEEE Trans. Inf. Theory, 2021

Optimal Correlators for Detection and Estimation in Optical Receivers.
IEEE Trans. Inf. Theory, 2021

Universal Decoding for Asynchronous Slepian-Wolf Encoding.
IEEE Trans. Inf. Theory, 2021

Trade-offs between Error Exponents and Excess-Rate Exponents of Typical Slepian-Wolf Codes.
Entropy, 2021

Encoding Individual Source Sequences for the Wiretap Channel.
Entropy, 2021

Universal Randomized Guessing Subjected to Distortion.
CoRR, 2021

The DNA Storage Channel: Capacity and Error Probability.
CoRR, 2021

Conveying individual source sequences over memoryless channels using finite-state decoders with source side information.
CoRR, 2021

Trade-Offs Between Error and Excess-Rate Exponents of Typical Slepian-Wolf Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes.
IEEE Trans. Inf. Theory, 2020

Universal Randomized Guessing With Application to Asynchronous Decentralized Brute-Force Attacks.
IEEE Trans. Inf. Theory, 2020

Noisy Guesses.
IEEE Trans. Inf. Theory, 2020

A Lagrange-Dual Lower Bound to the Error Exponent of the Typical Random Code.
IEEE Trans. Inf. Theory, 2020

Weak-Noise Modulation-Estimation of Vector Parameters.
IEEE Trans. Inf. Theory, 2020

Guessing Individual Sequences: Generating Randomized Guesses Using Finite-State Machines.
IEEE Trans. Inf. Theory, 2020

Error Exponents of Typical Random Trellis Codes.
IEEE Trans. Inf. Theory, 2020

Some Useful Integral Representations for Information-Theoretic Analyses.
Entropy, 2020

An Integral Representation of the Logarithmic Function with Applications in Information Theory.
Entropy, 2020

The MMI Decoder is Asymptotically Optimal for the Typical Random Code and for the Expurgated Code.
CoRR, 2020

Optimal Work Extraction and the Minimum Description Length Principle.
CoRR, 2020

Exact Expressions in Source and Channel Coding Problems Using Integral Representations.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Error Exponents of Typical Random Codes for the Colored Gaussian Channel.
IEEE Trans. Inf. Theory, 2019

Tradeoffs Between Weak-Noise Estimation Performance and Outage Exponents in Nonlinear Modulation.
IEEE Trans. Inf. Theory, 2019

False-Accept/False-Reject Trade-Offs for Ensembles of Biometric Authentication Systems.
IEEE Trans. Inf. Theory, 2019

Ensemble Performance of Biometric Authentication Systems Based on Secret Key Generation.
IEEE Trans. Inf. Theory, 2019

Gaussian Intersymbol Interference Channels With Mismatch.
IEEE Trans. Inf. Theory, 2019

Expurgated Bounds for the Asymmetric Broadcast Channel.
IEEE Trans. Inf. Theory, 2019

Detection Games under Fully Active Adversaries.
Entropy, 2019

A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code.
CoRR, 2019

Error Exponents of Typical Random Codes of Source-Channel Coding.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Trading off Weak-Noise Estimation Performance and Outage Exponents in Nonlinear Modulation.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Large Deviations of Typical Random Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Converse Bounds on Modulation-Estimation Performance for the Gaussian Multiple-Access Channel.
IEEE Trans. Inf. Theory, 2018

Lower Bounds on Exponential Moments of the Quadratic Error in Parameter Estimation.
IEEE Trans. Inf. Theory, 2018

Error Exponents of Typical Random Codes.
IEEE Trans. Inf. Theory, 2018

Universal Decoding Using a Noisy Codebook.
IEEE Trans. Inf. Theory, 2018

Exact Random Coding Exponents and Universal Decoders for the Asymmetric Broadcast Channel.
IEEE Trans. Inf. Theory, 2018

False-Accept/False-Reject Trade-offs in Biometric Authentication Systems.
CoRR, 2018

Trade-offs Between Weak-Noise Estimation Performance and Outage Exponents in Nonlinear Modulation.
CoRR, 2018

2017
Channel Detection in Coded Communication.
IEEE Trans. Inf. Theory, 2017

Simplified Erasure/List Decoding.
IEEE Trans. Inf. Theory, 2017

Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints.
IEEE Trans. Inf. Theory, 2017

A Large Deviations Approach to Secure Lossy Compression.
IEEE Trans. Inf. Theory, 2017

Exact Random Coding Secrecy Exponents for the Wiretap Channel.
IEEE Trans. Inf. Theory, 2017

On Empirical Cumulant Generating Functions of Code Lengths for Individual Sequences.
IEEE Trans. Inf. Theory, 2017

Correction to "The Generalized Stochastic Likelihood Decoder: Random Coding and Expurgated Bounds".
IEEE Trans. Inf. Theory, 2017

The Generalized Stochastic Likelihood Decoder: Random Coding and Expurgated Bounds.
IEEE Trans. Inf. Theory, 2017

Reliability of Universal Decoding Based on Vector-Quantized Codewords.
IEEE Trans. Inf. Theory, 2017

Random Coding Error Exponents for the Two-User Interference Channel.
IEEE Trans. Inf. Theory, 2017

Asymptotic MMSE analysis under sparse representation modeling.
Signal Process., 2017

Random-coding error exponent of variable-length codes with a single-bit noiseless feedback.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Gaussian ISI channels with mismatch.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Exact random coding exponents and universal decoders for the degraded broadcast channel.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Erasure/List Random Coding Error Exponents Are Not Universally Achievable.
IEEE Trans. Inf. Theory, 2016

Relations Between Work and Entropy Production for General Information-Driven, Finite-State Engines.
CoRR, 2016

Universal decoding for source-channel coding with side information.
Commun. Inf. Syst., 2016

Lower bounds on joint modulation-estimation performance for the Gaussian MAC.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Optimum Tradeoffs Between the Error Exponent and the Excess-Rate Exponent of Variable-Rate Slepian-Wolf Coding.
IEEE Trans. Inf. Theory, 2015

Universal Quantization for Separate Encodings and Joint Decoding of Correlated Sources.
IEEE Trans. Inf. Theory, 2015

Statistical Physics of Random Binning.
IEEE Trans. Inf. Theory, 2015

On Zero-Rate Error Exponents of Finite-State Channels With Input-Dependent States.
IEEE Trans. Inf. Theory, 2015

Zero-Delay and Causal Secure Source Coding.
IEEE Trans. Inf. Theory, 2015

On Compressive Sensing in Coding Problems: A Rigorous Approach.
IEEE Trans. Inf. Theory, 2015

Universal Decoding for Gaussian Intersymbol Interference Channels.
IEEE Trans. Inf. Theory, 2015

Information-Theoretic Applications of the Logarithmic Probability Comparison Bound.
IEEE Trans. Inf. Theory, 2015

The generalized likelihood decoder: random coding and expurgated bounds.
CoRR, 2015

Sequence complexity and work extraction.
CoRR, 2015

Exact Random Coding Error Exponents for the Two-User Interference Channel.
CoRR, 2015

Detection games with a fully active attacker.
Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding.
IEEE Trans. Inf. Theory, 2014

Expurgated Random-Coding Ensembles: Exponents, Refinements, and Connections.
IEEE Trans. Inf. Theory, 2014

Exact Correct-Decoding Exponent of the Wiretap Channel Decoder.
IEEE Trans. Inf. Theory, 2014

Erratum to "Exact Random Coding Error Exponents of Optimal Bin Index Decoding".
IEEE Trans. Inf. Theory, 2014

Asymptotically Optimal Decision Rules for Joint Detection and Source Coding.
IEEE Trans. Inf. Theory, 2014

List Decoding - Random Coding Exponents and Expurgated Exponents.
IEEE Trans. Inf. Theory, 2014

On the Data Processing Theorem in the Semi-deterministic Setting.
IEEE Trans. Inf. Theory, 2014

Exact Random Coding Error Exponents of Optimal Bin Index Decoding.
IEEE Trans. Inf. Theory, 2014

Erasure/List Exponents for Slepian-Wolf Decoding.
IEEE Trans. Inf. Theory, 2014

Exponential Error Bounds on Parameter Modulation-Estimation for Discrete Memoryless Channels.
IEEE Trans. Inf. Theory, 2014

Zero-Delay and Causal Single-User and Multi-User Lossy Source Coding with Decoder Side Information.
IEEE Trans. Inf. Theory, 2014

Analysis of Mismatched Estimation Errors Using Gradients of Partition Functions.
IEEE Trans. Inf. Theory, 2014

Codeword or noise? Exact random coding exponents for slotted asynchronism.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Large deviations analysis of variable-rate Slepian-Wolf coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Analogy between gambling and measurement-based work extraction.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Data-Processing Bounds for Scalar Lossy Source Codes With Side Information at the Decoder.
IEEE Trans. Inf. Theory, 2013

Average Redundancy of the Shannon Code for Markov Sources.
IEEE Trans. Inf. Theory, 2013

Universal Decoding for Arbitrary Channels Relative to a Given Class of Decoding Metrics.
IEEE Trans. Inf. Theory, 2013

Perfectly Secure Encryption of Individual Sequences.
IEEE Trans. Inf. Theory, 2013

Another look at expurgated bounds and their statistical-mechanical interpretation
CoRR, 2013

Codeword or noise? Exact random coding exponents for slotted asynchronism.
CoRR, 2013

Exponential error bounds on Parameter Modulation-Estimation for Memoryless Channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

The zero-delay Wyner-Ziv problem.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
On Optimum Parameter Modulation-Estimation From a Large Deviations Perspective.
IEEE Trans. Inf. Theory, 2012

Data-Processing Inequalities Based on a Certain Structured Class of Information Measures With Application to Estimation Theory.
IEEE Trans. Inf. Theory, 2012

Relations Between Redundancy Patterns of the Shannon Code and Wave Diffraction Patterns of Partially Disordered Media.
IEEE Trans. Inf. Theory, 2012

Structure Theorems for Real-Time Variable Rate Coding With and Without Side Information.
IEEE Trans. Inf. Theory, 2012

Error exponents of optimum erasure/list and ordinary decoding for channels with side information.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Data processing lower bounds for scalar lossy source codes with side information at the decoder.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

On real-time and causal secure source coding.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Exact Random Coding Exponents for Erasure Decoding.
IEEE Trans. Inf. Theory, 2011

Efficient On-Line Schemes for Encoding Individual Sequences With Side Information at the Decoder.
IEEE Trans. Inf. Theory, 2011

Threshold Effects in Parameter Estimation as Phase Transitions in Statistical Mechanics.
IEEE Trans. Inf. Theory, 2011

Data Processing Theorems and the Second Law of Thermodynamics.
IEEE Trans. Inf. Theory, 2011

Optimum Estimation via Gradients of Partition Functions and Information Measures: A Statistical-Mechanical Perspective.
IEEE Trans. Inf. Theory, 2011

Rate-Distortion Function via Minimum Mean Square Error Estimation.
IEEE Trans. Inf. Theory, 2011

Error Exponents for Broadcast Channels With Degraded Message Sets.
IEEE Trans. Inf. Theory, 2011

Subset sum phase transitions and data compression
CoRR, 2011

On optimum strategies for minimizing the exponential moments of a given cost function
CoRR, 2011

On optimum strategies for minimizing the exponential moments of a loss function.
Commun. Inf. Syst., 2011

Threshold effects in parameter estimation as phase transitions in statistical physics.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Structure theorems for real-time variable rate coding with side information.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Achievable Error Exponents for Channels With Side Information - Erasure and List Decoding.
IEEE Trans. Inf. Theory, 2010

Statistical physics of signal estimation in Gaussian noise: theory and examples of phase transitions.
IEEE Trans. Inf. Theory, 2010

Physics of the shannon limits.
IEEE Trans. Inf. Theory, 2010

On the statistical physics of directed polymers in a random medium and their relation to tree codes.
IEEE Trans. Inf. Theory, 2010

Twice-universal simulation of Markov sources and individual sequences.
IEEE Trans. Inf. Theory, 2010

On successive refinement for the Kaspi/Heegard-Berger problem.
IEEE Trans. Inf. Theory, 2010

Error exponents of optimum decoding for the interference channel.
IEEE Trans. Inf. Theory, 2010

Asymptotically optimum universal watermark embedding and detection in the high-SNR regime.
IEEE Trans. Inf. Theory, 2010

Statistical Physics and Information Theory.
Found. Trends Commun. Inf. Theory, 2010

A statistical-mechanical view on source coding: physical compression and data compression
CoRR, 2010

Information Theory and Statistical Physics - Lecture Notes
CoRR, 2010

Optimum estimation via partition functions and information measures.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On the physics of rate-distortion theory.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Structure theorem for real-time variable-rate lossy source encoders and memory-limited decoders with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Universal Simulation With Fidelity Criteria.
IEEE Trans. Inf. Theory, 2009

Joint source channel coding via statistical mechanics: thermal equilibrium between the source and the channel.
IEEE Trans. Inf. Theory, 2009

The Generalized Random Energy Model and its Application to the Statistical Physics of Ensembles of Hierarchical Codes.
IEEE Trans. Inf. Theory, 2009

Relations Between Random Coding Exponents and the Statistical Physics of Random Codes.
IEEE Trans. Inf. Theory, 2009

Exact Characterization of the Minimax Loss in Error Exponents of Universal Decoders.
IEEE Trans. Inf. Theory, 2009

Another Look at the Physics of Large Deviations With Application to Rate-Distortion Theory
CoRR, 2009

Error exponents of optimum decoding for the degraded broadcast channel using moments of type class enumerators.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Correction to "On the Capacity Game of Private Fingerprinting Systems Under Collusion Attacks" [Mar 05 884-899].
IEEE Trans. Inf. Theory, 2008

Universal Delay-Limited Simulation.
IEEE Trans. Inf. Theory, 2008

Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources.
IEEE Trans. Inf. Theory, 2008

Error Exponents of Erasure/List Decoding Revisited Via Moments of Distance Enumerators.
IEEE Trans. Inf. Theory, 2008

An Identity of Chernoff Bounds With an Interpretation in Statistical Physics and Applications in Information Theory.
IEEE Trans. Inf. Theory, 2008

Shannon's Secrecy System With Informed Receivers and its Application to Systematic Coding for Wiretapped Channels.
IEEE Trans. Inf. Theory, 2008

On Successive Refinement With Causal Side Information at the Decoders.
IEEE Trans. Inf. Theory, 2008

Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case.
IEEE Trans. Inf. Theory, 2008

Stochastic Image Warping for Improved Watermark Desynchronization.
EURASIP J. Inf. Secur., 2008

Asymptotically Optimum Universal One-Bit Watermarking for Gaussian Covertexts and Gaussian Attacks
CoRR, 2008

Asymptotically optimum embedding strategy for one-bit watermarking under Gaussian attacks.
Proceedings of the Security, 2008

Achievable error exponents for channel with side information - erasure and list decoding.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Error exponents for degraded broadcast channels with degraded message sets.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Channel estimation using feedback.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

2007
On Context-Tree Prediction of Individual Sequences.
IEEE Trans. Inf. Theory, 2007

Universal Filtering Via Prediction.
IEEE Trans. Inf. Theory, 2007

Achievable Error Exponents for the Private Fingerprinting Game.
IEEE Trans. Inf. Theory, 2007

Information Rates Subject to State Masking.
IEEE Trans. Inf. Theory, 2007

Minimax Universal Decoding With an Erasure Option.
IEEE Trans. Inf. Theory, 2007

Scanning and Sequential Decision Making for Multidimensional Data-Part I: The Noiseless Case.
IEEE Trans. Inf. Theory, 2007

Channel Coding in the Presence of Side Information.
Found. Trends Commun. Inf. Theory, 2007

Competitive minimax universal decoding for several ensembles of random codes
CoRR, 2007

Scanning and Sequential Decision Making for Multi-Dimensional Data - Part II: the Noisy Case
CoRR, 2007

Expanding the class of watermark de-synchronization attacks.
Proceedings of the 9th workshop on Multimedia & Security, 2007

Optimal Watermark Embedding and Detection Strategies Under General Worst Case Attacks.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Universal Decoding With an Erasure Option.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Scanning, Filtering and Prediction for Random Fields Corrupted by Gaussian Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
On hierarchical joint source-channel coding with degraded side information.
IEEE Trans. Inf. Theory, 2006

On the Wyner-Ziv problem for individual sequences.
IEEE Trans. Inf. Theory, 2006

Coding for the Feedback Gel'fand-Pinsker Channel and the Feedforward Wyner-Ziv Source.
IEEE Trans. Inf. Theory, 2006

On causal and semicausal codes for joint information embedding and source coding.
IEEE Trans. Inf. Theory, 2006

On the shannon cipher system with a capacity-limited key-distribution channel.
IEEE Trans. Inf. Theory, 2006

On joint coding for watermarking and encryption.
IEEE Trans. Inf. Theory, 2006

Two-way successively refined joint source-channel coding.
IEEE Trans. Inf. Theory, 2006

Scanning and Sequential Decision Making for Multi-Dimensional Data - Part I: the Noiseless Case
CoRR, 2006

Universal Simulation with a Fidelity Criterion.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Information Rates Subjected to State Masking.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

On Hierarchical Joint Source-Channel Coding With Causal Side Information at the Decoders.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Universal Scanning and Sequential Decision Making for Multidimensional Data.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2005
Minimax MSE-ratio estimation with signal covariance uncertainties.
IEEE Trans. Signal Process., 2005

On causal source codes with side information.
IEEE Trans. Inf. Theory, 2005

On the capacity game of private fingerprinting systems under collusion attacks.
IEEE Trans. Inf. Theory, 2005

Addendum to "On Universal Simulation of Information Sources Using Training Data.
IEEE Trans. Inf. Theory, 2005

On Joint Information Embedding and Lossy Compression in the Presence of a Stationary Memoryless Attack Channel.
IEEE Trans. Inf. Theory, 2005

On joint information embedding and lossy compression.
IEEE Trans. Inf. Theory, 2005

On the error exponent of trellis source coding.
IEEE Trans. Inf. Theory, 2005

Two-way joint source-channel coding with a fidelity criterion.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
A competitive minimax approach to robust estimation of random parameters.
IEEE Trans. Signal Process., 2004

On Successive Refinement for the Wyner-Ziv Problem.
IEEE Trans. Inf. Theory, 2004

On the capacity game of public watermarking systems.
IEEE Trans. Inf. Theory, 2004

On universal simulation of information sources using training data.
IEEE Trans. Inf. Theory, 2004

Achievable key rates for universal simulation of random data with respect to a set of statistical tests.
IEEE Trans. Inf. Theory, 2004

On the Threshold Effect in the Estimation of Chaotic Sequences.
IEEE Trans. Inf. Theory, 2004

Lower bounds on the error probability of block codes based on improvements on de Caen's inequality.
IEEE Trans. Inf. Theory, 2004

On hierarchical joint source-channel coding.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

On the random coding error exponents of the single-user and the multiple-access Gel'fand-Pinsker channels.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Large deviations performance of predictors for Markov sources.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Discrete Universal Filtering Through Incremental Parsing.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

2003
On competitive prediction and its relation to rate-distortion theory.
IEEE Trans. Inf. Theory, 2003

On the error exponent and capacity games of private watermarking systems.
IEEE Trans. Inf. Theory, 2003

Scanning and prediction in multidimensional data arrays.
IEEE Trans. Inf. Theory, 2003

On joint source-channel coding for the Wyner-Ziv source and the Gel'fand-Pinsker channel.
IEEE Trans. Inf. Theory, 2003

Source coding exponents for zero-delay coding with finite memory.
IEEE Trans. Inf. Theory, 2003

A large-deviations notion of perfect secrecy.
IEEE Trans. Inf. Theory, 2003

2002
On limited-delay lossy coding and filtering of individual sequences.
IEEE Trans. Inf. Theory, 2002

Tradeoffs between the excess-code-length exponent and the excess-distortion exponent in lossy source coding.
IEEE Trans. Inf. Theory, 2002

On sequential strategies for loss functions with memory.
IEEE Trans. Inf. Theory, 2002

A competitive Neyman-Pearson approach to universal hypothesis testing with applications.
IEEE Trans. Inf. Theory, 2002

Universal composite hypothesis testing: A competitive minimax approach.
IEEE Trans. Inf. Theory, 2002

Hidden Markov processes.
IEEE Trans. Inf. Theory, 2002

2001
Twofold universal prediction schemes for achieving the finite-state predictability of a noisy individual binary sequence.
IEEE Trans. Inf. Theory, 2001

Universal prediction of individual binary sequences in the presence of noise.
IEEE Trans. Inf. Theory, 2001

Identification in the presence of side information with application to watermarking.
IEEE Trans. Inf. Theory, 2001

2000
Coding of sources with two-sided geometric distributions and unknown parameters.
IEEE Trans. Inf. Theory, 2000

Optimal prefix codes for sources with two-sided geometric distributions.
IEEE Trans. Inf. Theory, 2000

Universal detection of messages via finite-state channels.
IEEE Trans. Inf. Theory, 2000

On random coding error exponents of watermarking systems.
IEEE Trans. Inf. Theory, 2000

1999
Low-complexity sequential lossless coding for piecewise-stationary memoryless sources.
IEEE Trans. Inf. Theory, 1999

Hierarchical Guessing with a Fidelity Criterion.
IEEE Trans. Inf. Theory, 1999

The Shannon cipher system with a guessing wiretapper.
IEEE Trans. Inf. Theory, 1999

Multiplication-free approximate algorithms for compressed-domain linear operations on images.
IEEE Trans. Image Process., 1999

Fast DCT domain filtering using the DCT and the DST.
IEEE Trans. Image Process., 1999

A Multiplication-Free Approximate Algorithm for the Inverse Discrete Cosine Transform.
Proceedings of the 1999 International Conference on Image Processing, 1999

On Prediction of Individual Sequences Relative to a Set of Experts in the Presence of Noise.
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1998
Authors' reply to "Comments on 'Min-Norm interpretations and consistency of MUSIC, MODE, and ML'".
IEEE Trans. Signal Process., 1998

Universal Prediction.
IEEE Trans. Inf. Theory, 1998

Joint Source-Channel Coding and Guessing with Application to Sequential Decoding.
IEEE Trans. Inf. Theory, 1998

Guessing Subject to Distortion.
IEEE Trans. Inf. Theory, 1998

Approximate convolution using DCT coefficient multipliers.
IEEE Trans. Circuits Syst. Video Technol., 1998

DCT mode conversions for field/frame coded MPEG video.
Proceedings of the Second IEEE Workshop on Multimedia Signal Processing, 1998

1997
On the amount of statistical side information required for lossy data compression.
IEEE Trans. Inf. Theory, 1997

How many information bits does a decoder need about the channel statistics?
IEEE Trans. Inf. Theory, 1997

On list size exponents in rate-distortion coding.
IEEE Trans. Inf. Theory, 1997

Fast algorithms for DCT-domain image downsampling and for inverse motion compensation.
IEEE Trans. Circuits Syst. Video Technol., 1997

1996
Robust methods for model order estimation.
IEEE Trans. Signal Process., 1996

Universal delay estimation for discrete channels.
IEEE Trans. Inf. Theory, 1996

Hierarchical universal coding.
IEEE Trans. Inf. Theory, 1996

Fast Inverse Motion Compensation Algorithms for MPEG and for Partial DCT Information.
J. Vis. Commun. Image Represent., 1996

Modeling and low-complexity adaptive coding for image prediction residuals.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A transform domain approach to spatial domain image scaling.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

A fast algorithm for DCT-domain inverse motion compensation.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Min-norm interpretations and consistency of MUSIC, MODE and ML.
IEEE Trans. Signal Process., 1995

A strong version of the redundancy-capacity theorem of universal coding.
IEEE Trans. Inf. Theory, 1995

A comment on 'A rate of convergence result for a universal D-semifaithful code'.
IEEE Trans. Inf. Theory, 1995

On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.
Mach. Learn., 1995

Universal Coding for Arbitrarily Varying Sources and for Hierarchies of Model Classes.
Proceedings of the IEEE Data Compression Conference, 1995

1994
Optimal sequential probability assignment for individual sequences.
IEEE Trans. Inf. Theory, 1994

On information rates for mismatched decoders.
IEEE Trans. Inf. Theory, 1994

Bounds on achievable convergence rates of parameter estimators via universal coding.
IEEE Trans. Inf. Theory, 1994

Correction to 'Universal prediction of individual sequences' (Jul 92 1258-1270).
IEEE Trans. Inf. Theory, 1994

Relations between entropy and error probability.
IEEE Trans. Inf. Theory, 1994

A non-parametric minimax approach for robust speech recognition.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

The Minimax Redundancy is a Lower Bound for Most Sources.
Proceedings of the IEEE Data Compression Conference, 1994

1993
On the asymptotic statistical behavior of empirical cepstral coefficients.
IEEE Trans. Signal Process., 1993

A measure of relative entropy between individual sequences with application to universal classification.
IEEE Trans. Inf. Theory, 1993

Some properties of sequential predictors for binary Markov sources.
IEEE Trans. Inf. Theory, 1993

Universal schemes for sequential decision from individual data sequences.
IEEE Trans. Inf. Theory, 1993

On the minimum description length principle for sources with piecewise constant parameters.
IEEE Trans. Inf. Theory, 1993

Universal decoding for memoryless Gaussian channels with a deterministic interference.
IEEE Trans. Inf. Theory, 1993

A minimax classification approach with application to robust speech recognition.
IEEE Trans. Speech Audio Process., 1993

1992
Estimating the number of states of a finite-state source.
IEEE Trans. Inf. Theory, 1992

When is the generalized likelihood ratio test optimal?
IEEE Trans. Inf. Theory, 1992

Variable-to-fixed length codes provide better large deviations performance than fixed-to-variable length codes.
IEEE Trans. Inf. Theory, 1992

Universal prediction of individual sequences.
IEEE Trans. Inf. Theory, 1992

Lower and upper bounds on the minimum mean-square error in composite source signal estimation.
IEEE Trans. Inf. Theory, 1992

Universal Sequential Learning and Decision from Individual Data Sequences.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991
A Bayesian classification approach with application to speech recognition.
IEEE Trans. Signal Process., 1991

Maximum likelihood hidden Markov modeling using a dominant sequence of states.
IEEE Trans. Signal Process., 1991

A Bayesian approach for classification of Markov sources.
IEEE Trans. Inf. Theory, 1991

Universal classification for hidden Markov models.
IEEE Trans. Inf. Theory, 1991

Universal coding with minimum probability of codeword length overflow.
IEEE Trans. Inf. Theory, 1991

Hidden Markov modeling using the most likely state sequence.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
On universally efficient estimation of the first order autoregressive parameter and universal data compression.
IEEE Trans. Inf. Theory, 1990

1989
Estimating with partial statistics the parameters of ergodic finite Markov sources.
IEEE Trans. Inf. Theory, 1989

On the estimation of the order of a Markov chain and universal data compression.
IEEE Trans. Inf. Theory, 1989

The estimation of the model order in exponential families.
IEEE Trans. Inf. Theory, 1989


  Loading...