Multidimensional mapping techniques for convolution. - Ivan W. Selesnick; C. Sidney Burrus (ICASSP (3), 1993)

Wavelet Based Speckle Reduction with Application to SAR Based ATD/R. - Haitao Guo; J. E. Odegard; Markus Lang; Ramesh A. Gopinath; Ivan W. Selesnick; C. Sidney Burrus (ICIP (1), 1994)

Extending Winograd's Small Convolution Algorithm to Longer Lengths. - Ivan W. Selesnick; C. Sidney Burrus (ISCAS, 1994)

Iterative reweighted least-squares design of FIR filters. - C. Sidney Burrus; J. A. Barreto; Ivan W. Selesnick (IEEE Trans. Signal Process., 1994)

On programs for prime length FFTs and circular convolution. - C. Sidney Burrus; Ivan W. Selesnick (ICASSP, 1995)

Constrained least squares design of 2-D FIR filters. - Markus Lang; Ivan W. Selesnick; C. Sidney Burrus (IEEE Trans. Signal Process., 1996)

Automatic generation of prime length FFT programs. - Ivan W. Selesnick; C. Sidney Burrus (IEEE Trans. Signal Process., 1996)

Constrained least square design of FIR filters without specified transition bands. - Ivan W. Selesnick; Markus Lang; C. Sidney Burrus (IEEE Trans. Signal Process., 1996)

New exchange rules for IIR filter design. - Ivan W. Selesnick (ICASSP, 1997)

Formulas for orthogonal IIR wavelet filters. - Ivan W. Selesnick (IEEE Trans. Signal Process., 1998)

Multiwavelet bases with extra approximation properties. - Ivan W. Selesnick (IEEE Trans. Signal Process., 1998)

Generalized digital Butterworth filter design. - Ivan W. Selesnick; C. Sidney Burrus (IEEE Trans. Signal Process., 1998)

A modified algorithm for constrained least square design of multiband FIR filters without specified transition bands. - Ivan W. Selesnick; Markus Lang; C. Sidney Burrus (IEEE Trans. Signal Process., 1998)

Cardinal multiwavelets and the sampling theorem. - Ivan W. Selesnick (ICASSP, 1999)

Parallel Structured Prime Length FFTs. - C. Sidney Burrus; Ivan W. Selesnick (PP, 1999)

Balanced GHM-like multiscaling functions. - Ivan W. Selesnick (IEEE Signal Process. Lett., 1999)

The slantlet transform. - Ivan W. Selesnick (IEEE Trans. Signal Process., 1999)

Interpolating multiwavelet bases and the sampling theorem. - Ivan W. Selesnick (IEEE Trans. Signal Process., 1999)

Smooth wavelet frames with application to denoising. - Ivan W. Selesnick; Levent Sendur (ICASSP, 2000)

Balanced multiwavelet bases based on symmetric FIR filters. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2000)

Design of 2-band orthogonal near-symmetric CQF. - A. Farras Abdelnour; Ivan W. Selesnick (ICASSP, 2001)

The design of Hilbert transform pairs of wavelet bases via the flat delay filter. - Ivan W. Selesnick (ICASSP, 2001)

Hilbert transform pairs of wavelet bases. - Ivan W. Selesnick (IEEE Signal Process. Lett., 2001)

Connexions: DSP education for a networked world. - Richard G. Baraniuk; C. Sidney Burrus; B. M. Hendricks; G. L. Henry; Alfred O. Hero III; Don H. Johnson; Douglas L. Jones; Julius Kusuma; Robert D. Nowak; J. E. Odegard; Lee C. Potter; Kannan Ramchandran; et al. (ICASSP, 2002)

A bivariate shrinkage function for wavelet-based denoising. - Levent Sendur; Ivan W. Selesnick (ICASSP, 2002)

A new complex-directional wavelet transform and its application to image denoising. - Ivan W. Selesnick (ICIP (3), 2002)

Subband adaptive image denoising via bivariate shrinkage. - Levent Sendur; Ivan W. Selesnick (ICIP (3), 2002)

Bivariate shrinkage with local variance estimation. - Levent Sendur; Ivan W. Selesnick (IEEE Signal Process. Lett., 2002)

The design of approximate Hilbert transform pairs of wavelet bases. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2002)

Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. - Levent Sendur; Ivan W. Selesnick (IEEE Trans. Signal Process., 2002)

Complex wavelet transforms with allpass filters. - Felix C. A. Fernandes; Ivan W. Selesnick; Rutger L. van Spaendonck; C. Sidney Burrus (Signal Process., 2003)

Video denoising using oriented complex wavelet transforms. - Fei Shi; Ivan W. Selesnick (ICASSP (2), 2004)

Pixel recovery via el minimization in the wavelet domain. - Ivan W. Selesnick; Richard M. Van Slyke; Onur G. Guleryuz (ICIP, 2004)

An investigation of 3D dual-tree wavelet transform for video coding. - Beibei Wang 005; Yao Wang 001; Ivan W. Selesnick; Anthony Vetro (ICIP, 2004)

Gröbner bases and wavelet design. - Jérôme Lebrun; Ivan W. Selesnick (J. Symb. Comput., 2004)

The double-density dual-tree DWT. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2004)

Video Coding Using 3-D Dual-Tree Discrete Wavelet Transforms. - Beibei Wang 005; Yao Wang 001; Ivan W. Selesnick; Anthony Vetro (ICASSP (2), 2005)

The dual-tree complex wavelet transform. - Ivan W. Selesnick; Richard G. Baraniuk; Nick G. Kingsbury (IEEE Signal Process. Mag., 2005)

Symmetric nearly shift-invariant tight frame wavelets. - A. Farras Abdelnour; Ivan W. Selesnick (IEEE Trans. Signal Process., 2005)

Wavelet-Domain Soft-Thresholding for Non-Stationary Noise. - Wan Yee Lo; Ivan W. Selesnick (ICIP, 2006)

Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function. - Ivan W. Selesnick (ICIP, 2006)

Multivariate Quasi-Laplacian Mixture Models Forwavelet-Based Image Denoising. - Fei Shi; Ivan W. Selesnick (ICIP, 2006)

Image Denoising Based on A Mixture of Bivariate Laplacian Models in Complex Wavelet Domain. - Hossein Rabbani; Mansur Vafadust; Ivan W. Selesnick; Saeed Gazor (MMSP, 2006)

Optimization of dynamic measurement of receptor kinetics by wavelet denoising. - Nathaniel M. Alpert; Anthonin Reilhac; Tat C. Chio; Ivan W. Selesnick (NeuroImage, 2006)

A Higher Density Discrete Wavelet Transform. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2006)

Image Denoising Employing a Mixture of Circular Symmetric Laplacian Models with Local Parameters in Complex Wavelet Domain. - Hossein Rabbani; Mansur Vafadust; Ivan W. Selesnick; Saeed Gazor (ICASSP (1), 2007)

Multirate Systems and Applications. - Yuan-Pei Lin; See-May Phoong; Ivan W. Selesnick; Soontorn Oraintara; Gerald Schuller (EURASIP J. Adv. Signal Process., 2007)

Video Coding Using 3D Dual-Tree Wavelet Transform. - Beibei Wang 005; Yao Wang 001; Ivan W. Selesnick; Anthony Vetro (EURASIP J. Image Video Process., 2007)

Optimization of Symmetric Self-Hilbertian Filters for the Dual-Tree Complex Wavelet Transform. - Bogdan Dumitrescu; Ilker Bayram; Ivan W. Selesnick (IEEE Signal Process. Lett., 2008)

Bayesian Estimation of Bessel K Form Random Vectors in AWGN. - Pavel A. Khazron; Ivan W. Selesnick (IEEE Signal Process. Lett., 2008)

On the Dual-Tree Complex Wavelet Packet and M-Band Transforms. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2008)

The Estimation of Laplace Random Vectors in Additive White Gaussian Noise. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2008)

Overcomplete Discrete Wavelet Transforms With Rational Dilation Factors. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2009)

Orthonormal FBs with rational sampling factors and oversampled DFT-modulated FBs: a connection and filter design. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2009)

Frequency-domain design of overcomplete rational-dilation wavelet transforms. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2009)

On compressed sensing in parallel MRI of cardiac perfusion using temporal wavelet and TV regularization. - Cagdas Bilen; Ivan W. Selesnick; Yao Wang 001; Ricardo Otazo; Daniel Kim; Leon Axel; Daniel K. Sodickson (ICASSP, 2010)

A new sparsity-enabled signal separation method based on signal resonance. - Ivan W. Selesnick (ICASSP, 2010)

Angle-Doppler processing using sparse regularization. - Ivan W. Selesnick; S. Unnikrishna Pillai; Ke Yong Li; Braham Himed (ICASSP, 2010)

Spatiotemporal wavelet maximum a posteriori estimation for video denoising. - Pavel A. Khazron; Ivan W. Selesnick (J. Electronic Imaging, 2010)

Emerging applications of wavelets: A review. - Ali N. Akansu; Wouter A. Serdijn; Ivan W. Selesnick (Phys. Commun., 2010)

A subband adaptive iterative shrinkage/thresholding algorithm. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2010)

Resonance-based decomposition for the manipulation of acoustic cues in speech: An assessment of perceived quality. - Chin-Tuan Tan; Benjamin Guo; Ivan W. Selesnick (WASPAA, 2011)

Resonance-based signal decomposition: A new sparsity-enabled signal analysis method. - Ivan W. Selesnick (Signal Process., 2011)

A Dual-Tree Rational-Dilation Complex Wavelet Transform. - Ilker Bayram; Ivan W. Selesnick (IEEE Trans. Signal Process., 2011)

Wavelet Transform With Tunable Q-Factor. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2011)

Compressed Sensing for Moving Imagery in Medical Imaging - Cagdas Bilen; Yao Wang 001; Ivan W. Selesnick (CoRR, 2012)

High-Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing. - Cagdas Bilen; Yao Wang 001; Ivan W. Selesnick (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

Polynomial Smoothing of Time Series With Additive Step Discontinuities. - Ivan W. Selesnick; Stephen Arnold; Venkata R. Dantham (IEEE Trans. Signal Process., 2012)

Seizure detection methods using a cascade architecture for real-time implantable devices. - Taehoon Kim; N. Sertac Artan; Ivan W. Selesnick; H. Jonathan Chao (EMBC, 2013)

Simultaneous polynomial approximation and total variation denoising. - Ivan W. Selesnick (ICASSP, 2013)

Total variation denoising with overlapping group sparsity. - Ivan W. Selesnick; Po-Yu Chen 003 (ICASSP, 2013)

ECG Enhancement and QRS Detection Based on Sparse Derivatives. - Xiaoran Ning; Ivan W. Selesnick (Biomed. Signal Process. Control., 2013)

Group-Sparse Signal Denoising: Concave Regularization, Convex Optimization. - Po-Yu Chen 003; Ivan W. Selesnick (CoRR, 2013)

Sparse Frequency Analysis with Sparse-Derivative Instantaneous Amplitude and Phase Functions - Yin Ding; Ivan W. Selesnick (CoRR, 2013)

Fused lasso with a non-convex sparsity inducing penalty. - Ilker Bayram; Po-Yu Chen 003; Ivan W. Selesnick (ICASSP, 2014)

Perceived quality of resonance based decomposed speech components under diotic and dichotic listening. - Chin-Tuan Tan; Ivan W. Selesnick; Kemal Avci (ICASSP, 2014)

Translation-invariant shrinkage/thresholding of group sparse signals. - Po-Yu Chen 003; Ivan W. Selesnick (Signal Process., 2014)

Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization. - Po-Yu Chen 003; Ivan W. Selesnick (IEEE Trans. Signal Process., 2014)

Sparse Signal Estimation by Maximally Sparse Convex Optimization. - Ivan W. Selesnick; Ilker Bayram (IEEE Trans. Signal Process., 2014)

Transient Artifact Reduction Algorithm (TARA) Based on Sparse Optimization. - Ivan W. Selesnick; Harry L. Graber; Yin Ding; Tong Zhang 023; Randall L. Barbour (IEEE Trans. Signal Process., 2014)

Simultaneous Low-Pass Filtering and Total Variation Denoising. - Ivan W. Selesnick; Harry L. Graber; Douglas S. Pfeil; Randall L. Barbour (IEEE Trans. Signal Process., 2014)

Adaptive Scale Selection for Multiscale Image Denoising. - Federico Angelini; Vittoria Bruni; Ivan W. Selesnick; Domenico Vitulano (ACIVS, 2015)

An adaptive perception-based image preprocessing method. - Vittoria Bruni; Ivan W. Selesnick; L. Tarchi; Domenico Vitulano (EUSIPCO, 2015)

Fault Detection of Rotation Machinery using Periodic Time-Frequency Sparsity. - Yin Ding; Wangpeng He; Binqiang Chen; Yanyang Zi; Ivan W. Selesnick (CoRR, 2015)

Sparsity-based Algorithm for Detecting Faults in Rotating Machines. - Wangpeng He; Yin Ding; Yanyang Zi; Ivan W. Selesnick (CoRR, 2015)

Image restoration using total variation with overlapping group sparsity. - Jun Liu 012; Ting-Zhu Huang; Ivan W. Selesnick; Xiao-Guang Lv; Po-Yu Chen 003 (Inf. Sci., 2015)

Artifact-Free Wavelet Denoising: Non-convex Sparse Regularization, Convex Optimization. - Yin Ding; Ivan W. Selesnick (IEEE Signal Process. Lett., 2015)

Convex Denoising using Non-Convex Tight Frame Regularization. - Ankit Parekh; Ivan W. Selesnick (IEEE Signal Process. Lett., 2015)

Generalized Total Variation: Tying the Knots. - Ivan W. Selesnick (IEEE Signal Process. Lett., 2015)

Convex 1-D Total Variation Denoising with Non-convex Regularization. - Ivan W. Selesnick; Ankit Parekh; Ilker Bayram (IEEE Signal Process. Lett., 2015)

Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors. - Javier Portilla; Antonio Tristán-Vega; Ivan W. Selesnick (IEEE Trans. Image Process., 2015)

Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography. - Rahele Kafieh; Hossein Rabbani; Ivan W. Selesnick (IEEE Trans. Medical Imaging, 2015)

Periodic Transients Separation Algorithm for Detecting Bearing Faults. - Wangpeng He; Yin Ding; Yanyang Zi; Ivan W. Selesnick (CoRR, 2016)

Sparsity-based correction of exponential artifacts. - Yin Ding; Ivan W. Selesnick (Signal Process., 2016)

Enhanced Low-Rank Matrix Approximation. - Ankit Parekh; Ivan W. Selesnick (IEEE Signal Process. Lett., 2016)

Mitigation of Wind Turbine Clutter for Weather Radar by Signal Separation. - Faruk Uysal; Ivan W. Selesnick; Bradley M. Isom (IEEE Trans. Geosci. Remote. Sens., 2016)

Enhanced Sparsity by Non-Separable Regularization. - Ivan W. Selesnick; Ilker Bayram (IEEE Trans. Signal Process., 2016)

Sparsity amplified. - Ivan W. Selesnick (ICASSP, 2017)

Sparsity-assisted signal smoothing (revisited). - Ivan W. Selesnick (ICASSP, 2017)

Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization. - Alessandro Lanza; Serena Morigi; Ivan W. Selesnick; Fiorella Sgallari (Numerische Mathematik, 2017)

Improved sparse low-rank matrix estimation. - Ankit Parekh; Ivan W. Selesnick (Signal Process., 2017)

Total Variation Denoising Via the Moreau Envelope. - Ivan W. Selesnick (IEEE Signal Process. Lett., 2017)

Sparse Regularization via Convex Analysis. - Ivan W. Selesnick (IEEE Trans. Signal Process., 2017)

Sparse Signal Approximation via Nonseparable Regularization. - Ivan W. Selesnick; Masoud Farshchian (IEEE Trans. Signal Process., 2017)

Vector minimax concave penalty for sparse representation. - Shibin Wang; Xuefeng Chen 002; Weiwei Dai; Ivan W. Selesnick; Gaigai Cai; Benjamin Cowen (Digit. Signal Process., 2018)

SEDA: A tunable Q-factor wavelet-based noise reduction algorithm for multi-talker babble. - Roozbeh Soleymani; Ivan W. Selesnick; David M. Landsberger (Speech Commun., 2018)

Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis. - Shibin Wang; Ivan W. Selesnick; Gaigai Cai; Yining Feng; Xin Sui; Xuefeng Chen 002 (IEEE Trans. Ind. Electron., 2018)

Sharpening Sparse Regularizers. - Abdullah H. Al-Shabili; Ivan W. Selesnick (ICASSP, 2019)

ALTIS: A new algorithm for adaptive long-term SNR estimation in multi-talker babble. - Roozbeh Soleymani; Ivan W. Selesnick; David M. Landsberger (Comput. Speech Lang., 2019)

Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing. - Alessandro Lanza; Serena Morigi; Ivan W. Selesnick; Fiorella Sgallari (SIAM J. Imaging Sci., 2019)

Stable Principal Component Pursuit via Convex Analysis. - Lei Yin; Ankit Parekh; Ivan W. Selesnick (IEEE Trans. Signal Process., 2019)

Latent Fused Lasso. - Yining Feng; Ivan W. Selesnick (ICASSP, 2020)

Epigraphical Reformulation for Non-Proximable Mixed Norms. - Seisuke Kyochi; Shunsuke Ono; Ivan W. Selesnick (ICASSP, 2020)

Nonconvex Haar-TV denoising. - Yinan Hu; Ivan W. Selesnick (Digit. Signal Process., 2020)

Non-convex Total Variation Regularization for Convex Denoising of Signals. - Ivan W. Selesnick; Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Math. Imaging Vis., 2020)

Image fusion via sparse regularization with non-convex penalties. - Nantheera Anantrasirichai; Rencheng Zheng; Ivan W. Selesnick; Alin Achim (Pattern Recognit. Lett., 2020)

Corrigendum to "Image fusion via sparse regularization with non-convex penalties" Pattern Recognition Letters Volume 131, March 2020, Pages 355-360. - Nantheera Anantrasirichai; Rencheng Zheng; Ivan W. Selesnick; Alin Achim (Pattern Recognit. Lett., 2020)

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. - Weiguo Huang; Ning Li 020; Ivan W. Selesnick; Juanjuan Shi; Jun Wang 026; Lei Mao; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2020)

Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal OCT Images. - Zahra Amini; Hossein Rabbani; Ivan W. Selesnick (IEEE Trans. Image Process., 2020)

Epigraphical Relaxation for Minimizing Layered Mixed Norms. - Seisuke Kyochi; Shunsuke Ono; Ivan W. Selesnick (IEEE Trans. Signal Process., 2021)

Ridge-Aware Weighted Sparse Time-Frequency Representation. - Chaowei Tong; Shibin Wang; Ivan W. Selesnick; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Signal Process., 2021)

Bregman Plug-And-Play Priors. - Abdullah H. Al-Shabili; Xiaojian Xu 002; Ivan W. Selesnick; Ulugbek S. Kamilov (ICIP, 2022)

Positive Sparse Signal Denoising: What Does a CNN Learn? - Abdullah H. Al-Shabili; Ivan W. Selesnick (IEEE Signal Process. Lett., 2022)

Reconstruction of Connected Digital Lines Based on Constrained Regularization. - Mojtaba Lashgari; Hossein Rabbani; Gerlind Plonka; Ivan W. Selesnick (IEEE Trans. Image Process., 2022)

A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising. - Arman Kheirati Roonizi; Ivan W. Selesnick (IEEE Trans. Signal Process., 2022)

Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization. - Akari Katsuma; Seisuke Kyochi; Shunsuke Ono; Ivan W. Selesnick (ICIP, 2023)

Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation. - Yining Feng; Ivan W. Selesnick (CoRR, 2025)