John P Ward

Associate Professor

North Carolina Agricultural and Technical State University
College of Science and Technology


Hines Hall 323
Ph.D.Mathematics / Texas A&M University
B.S.Mathematics / University of Georgia

Research Interests

Applied harmonic analysis, Signal and image processing, Wavelets, Basis functions, Measure theory, Stochastic processes, Signal processing on graphs

Recent Publications

  • Owen Deen, Colton Waller, John Ward (2024). (Fast and accurate log-determinant approximations). IEEE Signal Processing Letters.
  • Kossi Edoh, John Ward (2023). (High-Dimensional Contact Network Epidemiology). pp. 12. MDPI - Epidemiologia.
  • John Ward, Francis Narcowich, Joseph Ward (2020). (Interpolating splines on graphs for data science applications). Applied and Computational Harmonic Analysis.
  • Zsuzsanna Puspoki, Arash Amini, Julien Fageot, John Ward, Michael Unser (2019). (Angular Accuracy of Steerable Feature Detectors). (1) 12, pp. 344-371. SIAM Journal on Imaging Sciences .
  • Julien Fageot, Michael Unser, John Ward (2019). (Beyond Wiener's lemma: nuclear convolution algebras and the inversion of digital filters). Journal of Fourier Analysis and Applications.
  • J Graves, Jr, Akamu Ewunkem, John Ward, C Staley, Misty Thomas, Kristen Rhinehardt, Jian Han, Scott Harrison (2019). (Experimental evolution of gallium resistance in Escherichia coli.). (1) 2019, pp. 169-180. Evolution, medicine, and public health.
  • Julien Fageot, Michael Unser, John Ward, (2019). (The n-term approximation of periodic generalized Levy processes). Journal of Theoretical Probability.
  • Ha Nguyen, Michael Unser, John Ward (2017). (Generalized Poisson Summation Formulas for Continuous Functions of Polynomial Growth). (2) 23, pp. 442-461. Journal of Fourier Analysis and Applications.
  • Julien Fageot, Michael Unser, John Ward (2017). (On the Besov regularity of periodic L\'evy noises). (1) 42, pp. 21-36. Appl. Comput. Harmon. A..
  • Michael Unser, Julien Fageot, John Ward (2017). (Splines are Universal Solutions of Linear Inverse Problems with Generalized-TV regularization). (4) 59, pp. 769--793. SIAM Review.
  • Adrien Depeursinge, Zsuzsanna Puspoki, John Ward, Michael Unser (2017). (Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture). (4) 26, pp. 1626-1636. IEEE Transactions on Image Processing.
  • Zsuzsanna P\"usp\"oki, John Ward, Daniel Sage, Michael Unser (2016). (On the continuous steering of the scale of tight wavelet frames). (3) 9, pp. 1042-1062. SIAM J. Imaging Sci..
  • Zsuzsanna P\"usp\"oki, Daniel Sage, John Ward, Michael Unser (2016). (SpotCaliper: fast wavelet-based spot detection with accurate size estimation). (8) 32, pp. 1278-1280. Bioinformatics.
  • Emrah Bostan, Michael Unser, John Ward (2015). (Divergence-Free Wavelet Frames). (8) 22, pp. 1142-1146. IEEE Signal Proc. Let..
  • Minji Lee, Yoseob Han, John Ward, Michael Unser, Jong Ye (2015). (Interior tomography using 1D generalized total variation. Part II: Multiscale implementation). (4) 8, pp. 2452-2486. SIAM J. Imaging Sci..
  • John Ward, Minji Lee, Jong Ye, Michael Unser (2015). (Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation). (1) 8, pp. 226-247. SIAM J. Imaging Sci..
  • John Ward, Pad Pedram, Michael Unser (2015). (Optimal Isotropic Wavelets for Localized Tight Frame Representations). (11) 22, pp. 1918-1921. IEEE Signal Proc. Let..
  • Masih Nilchian, John Ward, Cedric Vonesch, Michael Unser (2015). (Optimized Kaiser-Bessel window functions for computed tomography). (11) 24, pp. 3826-3833. IEEE Trans. Image Process..
  • Hagai Kirshner, Aurelian Bourquard, John Ward, Moshe Porat, Michael Unser (2014). (Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling). (1) 23, pp. 413-423. IEEE Trans. on Image Process..
  • John Ward, Michael Unser (2014). (Approximation properties of Sobolev splines and the construction of compactly supported equivalents). (3) 46, pp. 1843-1858. SIAM J. Math. Anal..
  • John Ward, Michael Unser (2014). (Harmonic Singular Integrals and Steerable Wavelets in $L_2(Rd)$). (2) 36, pp. 183–197. Appl. Comput. Harmon. A..
  • Hagai Kirshner, Michael Unser, John Ward (2014). (On the Unique Identification of Continuous-time Autoregressive Models from Sampled Data). (6) 62, pp. 1361-1376. IEEE Trans. Signal Process..
  • John Ward, Kunal Chaudhury, Michael Unser (2013). (Decay properties of Riesz transforms and steerable wavelets). (2) 6, pp. 984-998. SIAM J. Imaging Sci..
  • Stamatios Lefkimmiatis, John Ward, Michael Unser (2013). (Hessian Schatten-Norm Regularization for Linear Inverse Problems). (5) 22, pp. 1873–1888. IEEE Trans. Image Process..
  • John Ward (2013). ($L^{p}$ error estimates for approximation by Sobolev splines and Wendland functions on $\mathbb{R}^{d}$). (4) 38, pp. 873–889. Adv. Comput. Math..
  • Arash Amini, Philippe Thévenaz, John Ward, Michael Unser (2013). (On the Linearity of Bayesian Interpolators for Non-Gaussian Continuous-Time AR (1) Processes). (8) 59, pp. 5063–5074. IEEE Trans. Inform. Theory.
  • Ildar Khalidov, Michael Unser, John Ward (2013). (Operator-Like Wavelet Bases of $L_2(R^d)$). (6) 19, pp. 1294–1322. J. Fourier Anal. Appl..
  • John Ward, Hagai Kirshner, Michael Unser (2012). (Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?). (4) 19, pp. 183–186. IEEE Signal Proc. Let..
  • John Ward (2012). ($L^{p}$ Bernstein inequalities and inverse theorems for RBF approximation on $\mathbb{R}^{d}$). (12) 164, pp. 1577–1593. J. Approx. Theory.