Ciprian Doru Giurcaneanu

Orcid: 0000-0001-5512-0868

According to our database1, Ciprian Doru Giurcaneanu authored at least 41 papers between 1999 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Dictionary learning for signals in additive noise with generalized Gaussian distribution.
Signal Process., 2022

Multivariate Time Series Imputation: An Approach Based on Dictionary Learning.
Entropy, 2022

2020
On the Use of Dictionary Learning in Time Series Imputation.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
The matching pursuit algorithm revisited: A variant for big data and new stopping rules.
Signal Process., 2019

Adaptive-Size Dictionary Learning Using Information Theoretic Criteria.
Algorithms, 2019

Identification of Vector Autoregressive Models with Granger and Stability Constraints.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Automated data scanning for dense networks of low-cost air quality instruments: Detection and differentiation of instrumental error and local to regional scale environmental abnormalities.
Environ. Model. Softw., 2018

Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series.
Entropy, 2018

2017
Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms.
Signal Process., 2017

On the number of iterations for the matching pursuit algorithm.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Renormalized maximum likelihood for multivariate autoregressive models.
Proceedings of the 24th European Signal Processing Conference, 2016

2014
New insights on AR order selection with information theoretic criteria based on localized estimators.
Digit. Signal Process., 2014

2013
Application of optimally distinguishable distributions to the detection of subspace signals in Gaussian noise of unknown level.
Digit. Signal Process., 2013

Analysis of an information theoretic criterion for cepstral nulling.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
On the performance of histogram-based entropy estimators.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Construction of irregular histograms by penalized maximum likelihood: A comparative study.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

2011
Variable selection in linear regression: Several approaches based on normalized maximum likelihood.
Signal Process., 2011

2010
AR order selection in the case when the model parameters are estimated by forgetting factor least-squares algorithms.
Signal Process., 2010

A Novel Method for Improving Fairness over Multiaccess Channels.
EURASIP J. Wirel. Commun. Netw., 2010

On the use of Kolmogorov structure function for periodogram smoothing.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Optimally distinguishable distributions: a new approach to composite hypothesis testing with applications to the classical linear model.
IEEE Trans. Signal Process., 2009

Assessment of Linear and Nonlinear Synchronization Measures for Analyzing EEG in a Mild Epileptic Paradigm.
IEEE Trans. Inf. Technol. Biomed., 2009

New insights on stochastic complexity.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Composite hypothesis testing by optimally distinguishable distributions.
Proceedings of the IEEE International Conference on Acoustics, 2008

Ar order selection with Information Theoretic Criteria based on localized estimators.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Stochastic Complexity for the Estimation of Sine-Waves in Colored Noise.
Proceedings of the IEEE International Conference on Acoustics, 2007

2005
Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting.
EURASIP J. Adv. Signal Process., 2005

Efficient algorithms for discrete universal denoising for channels with memory.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
Fast Iterative Gene Clustering Based on Information Theoretic Criteria for Selecting the Cluster Structure.
J. Comput. Biol., 2004

On some properties of the NML estimator for Bernoulli strings.
Inf. Process. Lett., 2004

Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis.
EURASIP J. Adv. Signal Process., 2004

2003
Stability-based cluster analysis applied to microarray data.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Context-based lossless image compression with optimal codes for discretized Laplacian distributions.
Proceedings of the Image Processing: Algorithms and Systems II, 2003

2002
Optimal Coding of Quantized Laplacian Sources for Predictive Image Compression.
J. Math. Imaging Vis., 2002

Using contexts and R-R interval estimation in lossless ECG compression.
Comput. Methods Programs Biomed., 2002

Using stochastic complexity for ECG signal analysis.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Low-complexity transform coding with integer-to-integer transforms.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Adaptive context-based sequential prediction for lossless audio compression.
Signal Process., 2000

Optimal predictive design of boolean and order statistics based filters.
Proceedings of the 10th European Signal Processing Conference, 2000

MDL based digital signal segmentation.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Integer wavelet transforms based lossless audio compression.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999


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