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Articles in international scientific journals with referee practice

F. Li, C.M. Triggs, C.D. Giurcaneanu. On the selection of predictors by using greedy algorithms and information theoretic criteria. Australian & New Zealand Journal of Statistics, 2023 [PDF][Matlab Code]

 

V. Deng, C.D. Giurcaneanu. On the application of the stability methods to time series data. Electronics, 12(13):2988, 2023 [PDF][Code] [Files]

 

X. Zheng, B. Dumitrescu, J. Liu, C.D. Giurcaneanu. Multivariate time series imputation: An approach based on dictionary learning. Entropy, 24(8):1057, 2022 (50 pages).  [PDF][Code] [Results]

 

X. Zheng, B. Dumitrescu, J. Liu, C.D. Giurcaneanu. Dictionary learning for signals in additive noise with generalized Gaussian distribution. Signal Processing, 2022.  [PDF][Supplemental Material] [Matlab Code] (the Matlab path should contain the folder DL and its subfolders, as found at https://github.com/dl-book/dl-book)

 

B. Dumitrescu, C.D. Giurcaneanu. Adaptive-size dictionary learning using information theoretic criteria. Algorithms 2019, 12(9), 178 [PDF]  [Matlab Code]

 

F. Li, C.M. Triggs, B. Dumitrescu, C.D. Giurcaneanu. The matching pursuit algorithm revisited:  A variant for big data and new stopping rules. Signal Processing, 155, 170-181, 2019.

[PDF] [Supplemental Material] [Matlab Code]

 

S. Maanan, B. Dumitrescu, C.D. Giurcaneanu. Maximum Entropy Expectation-Maximization algorithm for fitting latent-variable graphical models to multivariate time series. Entropy 2018, 20(1), 76 [PDF]  [Matlab Code AlgoEM]

 

M. Alavi-Shoshtari, J.A. Salmond, C.D. Giurcăneanu, G. Miskell, L. Weissert, and D. E. Williams. 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. Environmental Modelling and Software, 101, 34-50, 2018. [PDF]

S. Maanan, B. Dumitrescu, C.D. Giurcaneanu. Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms. Signal Processing, 133, 122-134, 2017. [PDF] [Matlab Code]

 

C.D. Giurcaneanu, R.V. Abeywickrama and S. Berber. 'Performance analysis for a chaos-based code-division multiple access system in wide-band channel. The Journal of Engineering (IET).

  [PDF] [Supplemental Material] [MatlabCommChaos]

 

C.D. Giurcaneanu and F.A. Abdul Saip. New insights on AR order selection with information theoretic criteria based on localized estimators. Digital Signal Processing (Elsevier). [PDF]  [Matlab_SNML_SDNML]

S.A. Razavi and C.D. Giurcaneanu. Application of optimally distinguishable distributions to the detection of subspace signals in Gaussian noise of unknown level. 

Digital Signal Processing (Elsevier), 23(4):1094-1102, 2013. [PDF] [Matlab]

C.D. Giurcaneanu, S.A. Razavi, A. Liski. Variable selection in linear regression: Several approaches based on normalized maximum likelihood. Signal Processing (Elsevier), 91(8):1671-1692, 2011. [PDF]

S.A. Razavi and C.D. Giurcaneanu. A novel method for improving fairness over multiaccess channels. EURASIP Journal on Wireless Communications and Networking, vol. 2010, Article ID 395763, 10 pages, 2010. doi:10.1155/2010/395763 [PDF]

V. Sakkalis, T. Cassar, M. Zervakis, C.D. Giurcaneanu, C. Bigan, S. Micheloyannis, K. Camil­leri, S. Fabri, E. Karakonstantaki and K. Michalopoulos. A decision support framework for the discrimination of children with controlled epilepsy based on EEG analysis. Journal of NeuroEngineering and Rehabilitation, 7:24, 2010. [PDF]

C.D. Giurcaneanu and S.A. Razavi. AR order selection in the case when the model pa­rameters are estimated by forgetting factor least-squares algorithms. Signal Processing (Elsevier), 90(2):451-466, 2010. [PDF]

S.A. Razavi and C.D. Giurcaneanu. Optimally distinguishable distributions: a new ap­proach to composite hypothesis testing with applications to the classical linear model. IEEE Transactions on Signal Processing, 57(7):2445–2455, 2009. [MR][PDF]

V. Sakkalis, C.D. Giurcaneanu, P. Xanthopoulos, M. Zervakis, V. Tsiaras, Y. Yang, E. Karakon­stantaki and S. Micheloyannis. Assessment of linear and nonlinear synchronization mea­sures for analyzing EEG in a mild epileptic paradigm. IEEE Transactions on Information Technology in Biomedicine, 13(4):433–441, 2009. [PDF]

C.D. Giurcaneanu, I. Tabus, and J. Astola. Clustering time series gene expression data based on sum-of-exponentials fitting. EURASIP Journal on Applied Signal Processing, 2005(8):1159–1173, May 2005. [PDF]

C.D. Giurcaneanu, I. Tabus, J. Astola, J. Ollila, and M. Vihinen. Fast iterative gene clus­tering based on information theoretic criteria for selecting the cluster structure. Journal of Computational Biology , 11(4):660–682, 2004. [PDF]

C.D. Giurcaneanu and I. Tabus. Cluster structure inference based on clustering stability with applications to microarray data analysis. EURASIP Journal on Applied Signal Processing, Special issue on Genomic Signal Processing, 2004(1):64–80, Jan. 2004. [PDF]

 

C.D. Giurcaneanu. On some properties of the NML estimator for Bernoulli strings. In­formation Processing Letters, 89(4):209–213, Feb. 2004. [MR][PDF]

C.D. Giurcaneanu and I. Tabus. Optimal coding of quantized Laplacian sources for pre­dictive image compression. Journal of Mathematical Imaging and Vision, 16(3):251–268, May 2002. [MR]

C.D. Giurcaneanu, I. Tabus, and S. Mereuta. Using contexts and R-R interval estimation in lossless ECG compression. Computer Methods and Programs in Biomedicine, Section

I: Methodology , 67(3):177–186, Mar. 2002

C.D. Giurcaneanu, I. Tabus, and J. Astola. Adaptive context-based sequential prediction for lossless audio compression. Signal Processing (Elsevier), Special section on DSP in Audio-visual communications, 80(11):2283–2294, Nov. 2000.

Book chapters

C.D. Giurcaneanu. Estimation of sinusoidal regression model by stochastic complexity. In P. Grűnwald, P. Myllymäki, I. Tabus, M. Weinberger and B. Yu, editors, Festschrift in honor of Jorma Rissanen on the occasion of his 75th Birthday, pages 229-249. Tampere International Center for Signal Processing, TICSP Series #38, Tampere, Finland, 2008. [PDF][BOOK]

C.D. Giurcaneanu and J. Rissanen . Estimation of AR and ARMA models by stochastic complexity. In H.-C. Ho, C.-K. Ing and T.L. Lai, editors, Time series and related topics, pages 48-59. Institute of Mathematical Statistics Lecture Notes-Monograph Series, vol. 52, Beachwood, Ohio, USA, 2006. [MR][PDF]

C.D. Giurcaneanu, C. Mircean, G.N. Fuller, and I. Tabus. Finding functional structures in glioma gene-expression using Gene Shaving clustering and MDL principle. In W. Zhang and I. Shmulevich, editors, Computational And Statistical Approaches To Genomics, Sec­ond Edition, pages 89-118. Kluwer Academic Publishers, Boston, USA, 2006. [PDF]

C.D. Giurcaneanu, I. Tabus, and C. Stanciu. Lossless audio compression with optimal codes for Laplacian distribution. In R. Dobrescu and C. Vasilescu, editors, Interdisci­plinary applications of fractal and chaos theory, pages 85–98. The Publishing House of the Romanian Academy, Bucharest, Romania, 2004.

C.D. Giurcaneanu, I. Tabus, I. Shmulevich, and W. Zhang. Clustering genes and samples from glioma microarray data. In R. Dobrescu and C. Vasilescu, editors, Interdisciplinary applications of fractal and chaos theory, pages 157–171. The Publishing House of the Romanian Academy, Bucharest, Romania, 2004.

Articles in international compilation works and in international scientific con­ference proceedings with referee practice

X. Zheng, B. Dumitrescu, J. Liu, C.D. Giurcaneanu. On the use of dictionary learning in time series imputation. Accepted for publication in Proceedings of the European Signal Processing Conference (EUSIPCO 2020)  [Supplementary Material] [Matlab Code] [Files]

B. Dumitrescu, C.D. Giurcaneanu, Yixia Ding. Identification of vector autoregressive models with Granger and stability constraints. In Proceedings of the European Signal Processing Conference (EUSIPCO 2019), A Coruna, Spain, Sep. 2-6, 2019. [PDF][Supplementary Material] [Matlab Code] [Files]

 

F. Li, C.M. Triggs, B. Dumitrescu, C.D. Giurcaneanu. On the number of iterations for the matching pursuit algorithm. Proceedings of 2017 European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, August 28 – September 2, 2017, pp. 181-185. [PDF]  [Supplemental Material] [Matlab Code] [Results]

 

S. Maanan, B. Dumitrescu, C.D. Giurcaneanu. Renormalized maximum likelihood for multivariate autoregressive models, in: Proceedings of 2016 European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, August 29 – September 2, 2016, pp. 193–197. [PDF] [Supplemental Material] [Matlab Code]

 

C.D. Giurcaneanu and S.A. Razavi. Analysis of an information theoretic criterion for cepstral nulling, 2013 IEEE China Summit International Conference on Signal and Information Processing, (1-5). Beijing, China. IEEE. [PDF] [MatlabKSFM]

C.D. Giurcaneanu, P. Luosto and P. Kontkanen. On the performance of histogram-based entropy estimators, IEEE International Workshop on Machine Learning for Signal Processing, Sept. 23-26, 2012, Santander, Spain (6 pages). [PDF]

 

P. Luosto, C.D. Giurcaneanu and P. Kontkanen. Construction of irregular histograms by penalized maximum likelihood: a comparative study. IEEE Information Theory Workshop 2012 (ITW), Lausanne, Switzerland, Sept. 3-7  2012 (5 pages). [PDF] For NML-2, see also the following web page.

 

V. Forsell and C.D. Giurcaneanu. On the use of stochastic complexity in spectral analysis of radial velocity data. In Proc. CSCS-18, the 18th International Conference on Control Systems and Computer Science, vol. 2, pages 936-940, Bucharest, Romania, 24-27 May 2011.

An extended version of this paper can be found here.          

 

C.D. Giurcaneanu and S.A. Razavi. Thresholding schemes for cepstral analysis. In Proc. of the Third Workshop on Information Theoretic Methods in Science and Engineering,2 pages, Tampere, Finland, 16-18 August 2010. [PDF]

 

C.D. Giurcaneanu and S.A. Razavi. On the use of Kolmogorov structure function for periodogram smoothing. In Proc. ICASSP 2010, IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 3966–3969, Dallas, Texas, USA, March 14 -19, 2010. [PDF]

C.D. Giurcaneanu and S.A. Razavi. New insights on stochastic complexity. In Proc. Eusipco 2009, the 17th European Signal Processing Conference, pp. 2475-2479, Glasgow, Scotland, UK, 24-28 August 2009. [PDF]

C.D. Giurcaneanu and S.A. Razavi. Stochastic complexity and its applications in signal processing: some new results. In Proc. of the Second Workshop on Information Theoretic Methods in Science and Engineering, 2 pages, Tampere, Finland, 17-19 August 2009. [PDF]

C.D. Giurcaneanu and S.A. Razavi. AR order selection with information theoretic criteria based on localized estimators. In Proc. Eusipco 2008, the 16th European Signal Processing Conference, 5 pages, Lausanne, Switzerland, 25-29 August 2008. [PDF]

C.D. Giurcaneanu. On the use of the Fisher information in computing the stochastic complexity. In Proc. of the First Workshop on Information Theoretic Methods in Science and Engineering, 6 pages, Tampere, Finland, 18-20 August 2008. [PDF]

S.A. Razavi and C.D. Giurcaneanu. Composite hypothesis testing by optimally distin­guishable distributions. In Proc. ICASSP 2008, IEEE International Conference on Acous­tics, Speech, and Signal Processing, pages 3897-3900, Las Vegas, Nevada, USA, March 30 -April 4, 2008. [PDF]  

L. Ramdas, C. Mircean, J. Hofman, U. Giri, C.L. Ashorn, M.D. Story and C.D. Giurcaneanu. Classification of tumors and sites in head and neck squamous-cell carcinoma. In Proc. CIMED 2007, International Conference on Computational Intelligence in Medicine and Healthcare, 8 pages, Plymouth, England, 25-27 July 2007.

C.D. Giurcaneanu. Stochastic complexity for the detection of periodically expressed genes. In Proc. GENSIPS 2007, the Fifth IEEE International Workshop on Genomic Signal Processing and Statistics, 4 pages, Tuusula, Finland, 10-12 June 2007. [PDF]

C.D. Giurcaneanu, D. Mihalache, M. Omarjee and M. Tetiva. On the stochastic com­plexity for order-1 Markov chains and the Catalan constant. In Proc. CSCS-16, the 16th International Conference on Control Systems and Computer Science, pages 114-120, Bucharest, Romania, 22-25 May 2007. [PDF]

C.D. Giurcaneanu. Stochastic complexity for the estimation of sine-waves in colored noise. In Proc. ICASSP 2007, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pages 1097-1100, Honolulu, Hawaii, USA, 15-20 April 2007. [PDF]

 V. Sakkalis, C.D. Giurcaneanu, P. Xanthopoulos, M. Zervakis, V. Tsiaras, Y. Yang and

S. Micheloyannis. Assessment of linear and non-linear EEG synchronization measures for evaluating mild epileptic signal patterns. In Proc. ITAB 2006, International Special Topic Conference on Information Technology in Biomedicine, 6 pages, Ioannina, Epirus, Greece, October 26-28, 2006.

Y. Yang, C.D. Giurcaneanu, and I. Tabus. An application of the piecewise autoregressive model in lossless audio coding. In Proc. NORSIG 2006, the 7th Nordic Signal Processing Symposium, pages 326-329, Reykjavik, Iceland, 7-9 June 2006.

 

C.D. Giurcaneanu and B. Yu. Efficient algorithms for discrete universal denoising for channels with memory. In Proc. ISIT 2005, IEEE Int. Symp. on Information Theory, pages 1275–1279, Adelaide,Australia, Sep. 4-9 2005. [PDF]

C.D. Giurcaneanu, I. Tabus, J. Astola. Inferring a gene subnetwork from non-uniformly sampled data. In Proc. Second Int. Conf. on Computational Intelligence in Medicine and Healthcare (a BIOPATTERN Conf.), pages 175–181, Costa da Caparica, Lisbon, Portugal, 29th Jun. -1st Jul. 2005.

C.D. Giurcaneanu, I. Tabus, and J. Astola. Linear algebra results applied to differential equations model for gene expression data. In Proc. WCSB’2004, the 2nd TICSP Workshop on Computational Systems Biology, , pages 31-32, Helsinki-St.Petersburg, Jun. 14-16, 2004.

C.D. Giurcaneanu, I. Tabus, J. Astola. Clustering time series gene expression data based on sum-of-exponentials fitting. In Proc. GENSIPS 2004, Workshop on Genomic Signal Processing and Statistics, Baltimore, Maryland, USA, May 26-27, 2004. CD-ROM

I. Tabus, C.D. Giurcaneanu, J. Astola. Genetic networks inferred from time series of gene expression data. In Proc. ISCCSP 2004, First International Symposium on Control, Communications and Signal Processing, pages 755–758, Hammamet, Tunisia, Mar. 21-24, 2004.

C.D. Giurcaneanu, I. Tabus, I. Shmulevich, and W. Zhang. Stability-based cluster analy­sis applied to microarray data. In Proc. ISSPA 2003, EURASIP-IEEE Seventh Interna­tional Symposium on Signal Processing and its Applications, volume 2, pages 57–60, Paris, France, Jul. 1-4, 2003. [PDF]

C.D. Giurcaneanu and I. Tabus. Stability methods for estimating the number of clusters in microarray data. In Proc. NSIP03, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Grado-Gorizia, Italy, June 8-11, 2003, CD-ROM.

C.D. Giurcaneanu, I. Tabus, and C. Stanciu. Lossless audio compression with optimal codes for Laplacian distribution. In Proc. IAFA2003, The First South-East European Symposium on Interdisciplinary Approaches in Fractal Analysis, pages 73–78, Bucharest, Romania, May 7-10, 2003.

C.D. Giurcaneanu, I. Tabus, I. Shmulevich, and W. Zhang. Clustering genes and samples from glioma microarray data. In Proc. IAFA2003, The First South-East European Sym­posium on Interdisciplinary Approaches in Fractal Analysis, pages 115–120, Bucharest, Romania, May 7-10, 2003.

C.D. Giurcaneanu, I. Tabus, and C. Stanciu. Context-based lossless image compression with optimal codes for discretized Laplacian distributions. In Proc. Image Processing: Algorithms and Systems II, part of IS&T/SPIE’s Electronic Imaging 2003, volume 5014, pages 20–30, Santa Clara, California, USA, Jan. 20-24, 2003.

C.D. Giurcaneanu, I. Tabus, and J. Astola. Criteria for testing the equality on a subset of the covariance matrix spectrum and their applications. In Proc. SMMSP2002, Second International Workshop on Spectral Methods and Multirate Signal Processing, pages 19–26, Toulouse, France, Sep. 7-8, 2002.

 

R. Aldea and C.D. Giurcaneanu. Using stochastic complexity for ECG signal analysis. In Proc. EUSIPCO 2002, 11th European Signal Processing Conference, volume 3, pages 391–394, Toulouse, France, Sep. 3-6, 2002. [PDF]

C.D. Giurcaneanu and I. Tabus. Low-complexity transform coding with integer-to-integer transforms. In Proc. ICASSP-2001, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, volume 4, pages 2601–2604, Salt Lake City, Utah, USA, May 7-11 2001.

C.D. Giurcaneanu, I. Tabus, and S. Mereuta. Long-term prediction using QRS detection for lossless ECG compression. In NSIP01, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, USA, Jun. 3-6 2001. CD-ROM ISBN 0-7803-7043-0, IEEE Catalog number 01CH37221C.

C.D. Giurcaneanu, I. Tabus, and J. Rissanen. MDL based digital signal segmentation. In Proc. EUSIPCO 2000, 10th European Signal Processing Conference, volume 1, pages 339–342, Tampere, Finland, Sep. 4-8 2000. [PDF]

I. Tabus, C.D. Giurcaneanu, and J. Astola. Optimal predictive design of Boolean and order statistics based filters. In Proc. EUSIPCO 2000, 10th European Signal Processing Conference, volume 1, pages 393–396, Tampere, Finland, Sep. 4-8 2000.

C.D. Giurcaneanu and I. Tabus. Escape sequences for lossless audio compression. In Proc. ISITA2000, The 2000 Int. Symp. on Information Theory and Its Applications, volume 1, pages 386–389, Honolulu, Hawaii, USA, Nov. 5-8 2000.

C.D. Giurcaneanu and I. Tabus. On the sign of kurtosis. In Proc. ICA 2000, Second Int. Workshop on Independent Component Analysis and Blind Signal Separation, pages 499–502, Helsinki, Finland, Jun. 19-22 2000. [PDF]

C.D. Giurcaneanu and I. Tabus. Low-complexity integer-to-integer transform coding. In SPECLOG-2000, TICSP First International Workshop on Spectral Transforms and Logic Design for Future Digital Systems, pages 453–468, Tampere, Finland, Jun. 2-3 2000.

C.D. Giurcaneanu, I. Tabus, and J. Astola. Integer wavelet transform based lossless audio compression. In Proc. NSIP-99, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, volume 1, pages 378–382, Antalya, Turkey, Jun. 20-23 1999.

C.D. Giurcaneanu and I. Tabus. Independent component analysis based characteristic waveform decomposition for speech coding. In Proc. SCI-99/ISAS-99, 5th Int. Conf. on Information Systems Analysis and Synthesis, volume 6, pages 312–315, Orlando, Florida, USA, Jul.31-Aug.4 1999.

C.D. Giurcaneanu, I. Tabus, and J. Astola. Forward and backward design of predictors for lossless audio coding. In Proc. CSCS12, 12th Int. Conf. on Control Systems and Computer Science, volume 1, pages 396–401, Bucharest, Romania, May 26-29 1999.

C.D. Giurcaneanu, I. Tabus, and J. Astola. Adaptive context based sequential prediction for lossless audio compression. In Proc. EUSIPCO-98, 9th European Signal Processing Conf., volume 4, pages 2349–2352, Rhodes, Greece, Sept.8-11 1998.

 

C.D. Giurcaneanu, I. Tabus, and J. Astola. Linear prediction from subbands for lossless audio compression. In Proc. NORSIG-98, 3rd IEEE Nordic Signal Processing Symp., pages 225–228, Vigso, Denmark, Jun. 8-11 1998.

C.D. Giurcaneanu, O. Hugon, A. Guerin Dugue, P. Benech, and G. Ionescu. Optical evanescent wave sensor array for odors discrimination. In Proc. CSCS11, 11th Int. Conf. on Control Systems and Computer Science, volume 2, pages 277–282, Bucharest, Romania, May 1997.

G. Ionescu, C.D. Giurcaneanu, and D. Popescu. Neural networks for increasing the gas sensors array selectivity. In Proc. SIMSIS9,The 9th Symposium on Modelling, Simulation and Identification Systems, pages 309–314, Galati, Romania, Oct. 1996.

G. Ionescu, D. Popescu, and C.D. Giurcaneanu. Sensor array signal processing by using neural networks. In Proc. CSCS10, 10th Int. Conf. on Control Systems and Computer Science, volume 2, pages 76–80, Bucharest, Romania, May 1995.