R. Gu and A. Dogandžić. (Feb. 2017). Upper-bounding the regularization constant for convex sparse signal reconstruction. arXiv: 1702.07930 [stat.CO].
R. Gu and A. Dogandžić, “Projected Nesterov’s proximal-gradient algorithm for sparse signal recovery,” IEEE Trans. Signal Process., vol. 65, no. 13, pp. 3510–3525, 2017, [doi] [pdf].
R. Gu and A. Dogandžić, “Blind X-ray CT image reconstruction from polychromatic Poisson measurements,” IEEE Trans. Comput. Imag., vol. 2, no. 2, pp. 150–165, 2016, [pdf]. A brief video presentation.
Z. Song and A. Dogandžić, “A max-product EM algorithm for reconstructing Markov-tree sparse signals from compressive samples,” IEEE Trans. Signal Process., vol. 61, no. 23, pp. 5917–5931, 2013.
K. Qiu and A. Dogandžić, “Sparse signal reconstruction via ECME hard thresholding,” IEEE Trans. Signal Process., vol. 60, pp. 4551-4569, Sep. 2012.
K. Qiu and A. Dogandžić, “Sparse signal reconstruction from quantized noisy measurements via GEM hard thresholding,” IEEE Trans. Signal Process., vol. 60, pp. 2628-2634, May 2012.
K. Qiu and A. Dogandžić, “Variance-component based sparse signal reconstruction and model selection,” IEEE Trans. Signal Process., vol. 58, pp. 2935-2952, Jun. 2010.
A. Dogandžić and K. Qiu, “Decentralized random-field estimation for sensor networks using quantized spatially correlated data and fusion-center feedback,” IEEE Trans. Signal Process., vol. 56, pp. 6069-6085, Dec. 2008.
A. Dogandžić and B.H. Zhang, “Bayesian complex amplitude estimation and adaptive signal detection in low-rank interference,” IEEE Trans. Signal Process., vol. 55, pp. 1176-1182, Mar. 2007, [pdf].
W. Mo, Z.D. Wang, and A. Dogandžić, “EM-based iterative receiver for coded MIMO systems in unknown spatially correlated noise,” Wirel. Commun. Mobile Comput., vol. 7, pp. 81-89, Jan. 2007, [pdf].
A. Dogandžić and B.H. Zhang, “Bayesian NDE defect signal analysis,” IEEE Trans. Signal Process., vol. 55, pp. 372-378, Jan. 2007, [pdf].
J. Wang, A. Dogandžić, and A. Nehorai, “Maximum likelihood estimation of compound-Gaussian clutter and target parameters,” IEEE Trans. Signal Process., vol. 54, pp. 3884-3898, Oct. 2006, [pdf].
A. Dogandžić and B.H. Zhang, “Distributed estimation and detection for sensor networks using hidden Markov random field models,” IEEE Trans. Signal Process., vol. 54, pp. 3200-3215, Aug. 2006, [pdf].
D. Gutiérrez, A. Nehorai, and A. Dogandžić, “Performance analysis of reduced-rank beamformers for estimating dipole source signals using EEG/MEG,” IEEE Trans. Biomedical Engineering, vol. 53, pp. 840-844, May 2006. [pdf].
A. Dogandžić and P. Xiang,“Estimating statistical properties of eddy-current signals from steam generator tubes,” IEEE Trans. Signal Process., vol. 53, pp. 3342-3348, Aug. 2005, [pdf].
A. Dogandžić and J.H. Jin, “Estimating statistical properties of MIMO fading channels,” IEEE Trans. Signal Process., vol. 53, pp. 3065-3080, Aug. 2005, [pdf].
A. Dogandžić and B.H. Zhang,“Dynamic shadow power estimation for wireless communications,” IEEE Trans. Signal Process., vol. 53, pp. 2942-2948, Aug. 2005, [pdf].
A. Dogandžić and B.H. Zhang, “Estimating Jakes’ Doppler power spectrum parameters using the Whittle approximation,” IEEE Trans. Signal Process., vol. 53, pp. 987-1005, Mar. 2005, [pdf].
A. Dogandžić and J.H. Jin, “Maximum likelihood estimation of statistical properties of composite gamma-lognormal fading channels,” IEEE Trans. Signal Process., vol. 52, pp. 2940-2945, Oct. 2004, [pdf].
A. Dogandžić, W. Mo, and Z.D. Wang, “Semi-blind SIMO flat-fading channel estimation in unknown spatially correlated noise using the EM algorithm,” IEEE Trans. Signal Process., vol. 52, pp. 1791-1797, Jun. 2004, [pdf].
A. Dogandžić and A. Nehorai, “Generalized multivariate analysis of variance: a unified framework for signal processing in correlated noise,” IEEE Signal Process. Mag., vol. 20, pp. 39-54, Sept. 2003, [pdf]. Bibliography update (a few related signal processing articles that appeared after the publication of this article).
A. Dogandžić, “Chernoff bounds on pairwise error probabilities of space-time codes,” IEEE Trans. Inform. Theory, vol. 49, pp. 1327-1336, May 2003, [pdf].
A. Dogandžić and A. Nehorai, “Finite-length MIMO adaptive equalization using canonical correlation analysis,” IEEE Trans. Signal Process., vol. 50, pp. 984-989, April 2002, [pdf].
A. Dogandžić and A. Nehorai, “Space-time fading channel estimation and symbol detection in unknown spatially correlated noise,” IEEE Trans. Signal Process., vol. 50, pp. 457-474, Mar. 2002, [pdf].
A. Dogandžić and A. Nehorai, “Cramér-Rao bounds for estimating range, velocity, and direction with an active array,” IEEE Trans. Signal Process., vol. 49, pp. 1122-1137, Jun. 2001, [pdf].
A. Dogandžić and A. Nehorai, “Estimating evoked dipole responses in unknown spatially correlated noise with EEG/MEG arrays,” IEEE Trans. Signal Process., vol. 48, pp. 13-25, Jan. 2000, [pdf].
A. Dogandžić and A. Nehorai, “EEG/MEG spatio-temporal dipole source estimation and sensor array design,” in High-Resolution and Robust Signal Process., Y. Hua, A.B. Gershman, and Q. Cheng (Eds.), New York: Marcel Dekker, 2003, Ch. 7, pp. 393-442, [pdf].
R. Gu and A. Dogandžić, “Blind polychromatic X-ray CT reconstruction from Poisson measurements,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Shanghai, China, March 2016, pp. 898–902.
R. Gu and A. Dogandžić, “A fast proximal gradient algorithm for reconstructing nonnegative signals with sparse transform coefficients,” in Proc. Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, Nov. 2014, pp. 1662–1667.
R. Gu and A. Dogandžić, “Polychromatic sparse image reconstruction and mass attenuation spectrum estimation via B-spline basis function expansion,” in Rev. Progress Quantitative Nondestructive Evaluation, ser. AIP Conf. Proc. Vol. 34 1650, Melville, NY, 2015, pp. 1707–1716.
R. Gu and A. Dogandžić, “Beam hardening correction via mass attenuation discretization,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Vancouver, Canada, May 2013, pp. 1085-1089.
K. Qiu and A. Dogandžić, “Nonnegative signal reconstruction from compressive samples via a difference map ECME algorithm,” in Proc. IEEE Workshop on Statistical Signal Process., Nice, France, Jun. 2011, pp. 561-564.
K. Qiu and A. Dogandžić, “ECME hard thresholding methods for image reconstruction from compressive samples,” in Applications of Digital Image Process. XXXIII, Andrew G. Tescher (Ed.), Proc. SPIE, vol. 7798, San Diego, CA: SPIE, Aug. 2010, 779813, [pdf].