default search action
Ivan W. Selesnick
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [c43]Akari Katsuma, Seisuke Kyochi, Shunsuke Ono, Ivan W. Selesnick:
Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization. ICIP 2023: 2240-2244 - 2022
- [j79]Abdullah H. Al-Shabili
, Ivan W. Selesnick
Positive Sparse Signal Denoising: What Does a CNN Learn? IEEE Signal Process. Lett. 29: 912-916 (2022) - [j78]Mojtaba Lashgari
Reconstruction of Connected Digital Lines Based on Constrained Regularization. IEEE Trans. Image Process. 31: 5613-5628 (2022) - [j77]Arman Kheirati Roonizi
A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising. IEEE Trans. Signal Process. 70: 4543-4554 (2022) - [c42]Abdullah H. Al-Shabili, Xiaojian Xu, Ivan W. Selesnick, Ulugbek S. Kamilov:
Bregman Plug-And-Play Priors. ICIP 2022: 241-245 - [i16]Abdullah H. Al-Shabili, Xiaojian Xu, Ivan W. Selesnick, Ulugbek S. Kamilov:
Bregman Plug-and-Play Priors. CoRR abs/2202.02388 (2022) - 2021
- [j76]Chaowei Tong, Shibin Wang
Ridge-Aware Weighted Sparse Time-Frequency Representation. IEEE Trans. Signal Process. 69: 136-149 (2021) - [j75]Seisuke Kyochi
Epigraphical Relaxation for Minimizing Layered Mixed Norms. IEEE Trans. Signal Process. 69: 2923-2938 (2021) - 2020
- [j74]Yinan Hu, Ivan W. Selesnick:
Nonconvex Haar-TV denoising. Digit. Signal Process. 107: 102855 (2020) - [j73]Ivan W. Selesnick
Non-convex Total Variation Regularization for Convex Denoising of Signals. J. Math. Imaging Vis. 62(6-7): 825-841 (2020) - [j72]Nantheera Anantrasirichai
Image fusion via sparse regularization with non-convex penalties. Pattern Recognit. Lett. 131: 355-360 (2020) - [j71]Nantheera Anantrasirichai, Rencheng Zheng, Ivan W. Selesnick, Alin Achim:
Corrigendum to "Image fusion via sparse regularization with non-convex penalties" Pattern Recognition Letters Volume 131, March 2020, Pages 355-360. Pattern Recognit. Lett. 136: 316 (2020) - [j70]Weiguo Huang
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(7): 4863-4872 (2020) - [j69]Zahra Amini
Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal OCT Images. IEEE Trans. Image Process. 29: 6873-6884 (2020) - [c41]Seisuke Kyochi, Shunsuke Ono, Ivan W. Selesnick:
Epigraphical Reformulation for Non-Proximable Mixed Norms. ICASSP 2020: 5400-5404 - [c40]Yining Feng, Ivan W. Selesnick:
Latent Fused Lasso. ICASSP 2020: 5969-5973
2010 – 2019
- 2019
- [j68]Roozbeh Soleymani, Ivan W. Selesnick
ALTIS: A new algorithm for adaptive long-term SNR estimation in multi-talker babble. Comput. Speech Lang. 58: 231-246 (2019) - [j67]Alessandro Lanza, Serena Morigi
Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing. SIAM J. Imaging Sci. 12(2): 1099-1134 (2019) - [j66]Lei Yin
Stable Principal Component Pursuit via Convex Analysis. IEEE Trans. Signal Process. 67(10): 2595-2607 (2019) - [c39]Abdullah H. Al-Shabili, Ivan W. Selesnick:
Sharpening Sparse Regularizers. ICASSP 2019: 4908-4912 - [i15]Nantheera Anantrasirichai, Rencheng Zheng, Ivan W. Selesnick, Alin Achim
Image Fusion via Sparse Regularization with Non-Convex Penalties. CoRR abs/1905.09645 (2019) - 2018
- [j65]Shibin Wang
Vector minimax concave penalty for sparse representation. Digit. Signal Process. 83: 165-179 (2018) - [j64]Roozbeh Soleymani, Ivan W. Selesnick, David M. Landsberger:
SEDA: A tunable Q-factor wavelet-based noise reduction algorithm for multi-talker babble. Speech Commun. 96: 102-115 (2018) - [j63]Shibin Wang
Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 65(9): 7332-7342 (2018) - 2017
- [j62]Alessandro Lanza
Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization. Numerische Mathematik 136(2): 343-381 (2017) - [j61]Ankit Parekh
Improved sparse low-rank matrix estimation. Signal Process. 139: 62-69 (2017) - [j60]Ivan W. Selesnick
Total Variation Denoising Via the Moreau Envelope. IEEE Signal Process. Lett. 24(2): 216-220 (2017) - [j59]Ivan W. Selesnick
Sparse Signal Approximation via Nonseparable Regularization. IEEE Trans. Signal Process. 65(10): 2561-2575 (2017) - [j58]Ivan W. Selesnick
Sparse Regularization via Convex Analysis. IEEE Trans. Signal Process. 65(17): 4481-4494 (2017) - [c38]Ivan W. Selesnick:
Sparsity amplified. ICASSP 2017: 4356-4360 - [c37]Ivan W. Selesnick:
Sparsity-assisted signal smoothing (revisited). ICASSP 2017: 4546-4550 - 2016
- [j57]Yin Ding, Ivan W. Selesnick
Sparsity-based correction of exponential artifacts. Signal Process. 120: 236-248 (2016) - [j56]Ankit Parekh
Enhanced Low-Rank Matrix Approximation. IEEE Signal Process. Lett. 23(4): 493-497 (2016) - [j55]Faruk Uysal
Mitigation of Wind Turbine Clutter for Weather Radar by Signal Separation. IEEE Trans. Geosci. Remote. Sens. 54(5): 2925-2934 (2016) - [j54]Ivan W. Selesnick
Enhanced Sparsity by Non-Separable Regularization. IEEE Trans. Signal Process. 64(9): 2298-2313 (2016) - [i14]Wangpeng He, Yin Ding, Yanyang Zi, Ivan W. Selesnick:
Periodic Transients Separation Algorithm for Detecting Bearing Faults. CoRR abs/1601.02339 (2016) - [i13]Ankit Parekh, Ivan W. Selesnick:
Improved Sparse Low-Rank Matrix Estimation. CoRR abs/1605.00042 (2016) - 2015
- [j53]Jun Liu, Ting-Zhu Huang, Ivan W. Selesnick, Xiao-Guang Lv, Po-Yu Chen:
Image restoration using total variation with overlapping group sparsity. Inf. Sci. 295: 232-246 (2015) - [j52]Ivan W. Selesnick
Convex 1-D Total Variation Denoising with Non-convex Regularization. IEEE Signal Process. Lett. 22(2): 141-144 (2015) - [j51]Yin Ding, Ivan W. Selesnick
Artifact-Free Wavelet Denoising: Non-convex Sparse Regularization, Convex Optimization. IEEE Signal Process. Lett. 22(9): 1364-1368 (2015) - [j50]Ankit Parekh
Convex Denoising using Non-Convex Tight Frame Regularization. IEEE Signal Process. Lett. 22(10): 1786-1790 (2015) - [j49]Ivan W. Selesnick
Generalized Total Variation: Tying the Knots. IEEE Signal Process. Lett. 22(11): 2009-2013 (2015) - [j48]Javier Portilla
Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors. IEEE Trans. Image Process. 24(12): 5046-5059 (2015) - [j47]Rahele Kafieh
Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography. IEEE Trans. Medical Imaging 34(5): 1042-1062 (2015) - [c36]Federico Angelini, Vittoria Bruni, Ivan W. Selesnick
Adaptive Scale Selection for Multiscale Image Denoising. ACIVS 2015: 81-92 - [c35]Vittoria Bruni, Ivan W. Selesnick, L. Tarchi, Domenico Vitulano:
An adaptive perception-based image preprocessing method. EUSIPCO 2015: 2331-2335 - [i12]Ankit Parekh, Ivan W. Selesnick:
Convex Denoising using Non-Convex Tight Frame Regularization. CoRR abs/1504.00976 (2015) - [i11]Yin Ding, Ivan W. Selesnick:
Sparsity-based Correction of Exponential Artifacts. CoRR abs/1509.07234 (2015) - [i10]Wangpeng He, Yin Ding, Yanyang Zi, Ivan W. Selesnick:
Sparsity-based Algorithm for Detecting Faults in Rotating Machines. CoRR abs/1511.00067 (2015) - [i9]Yin Ding, Wangpeng He, Binqiang Chen, Yanyang Zi, Ivan W. Selesnick:
Fault Detection of Rotation Machinery using Periodic Time-Frequency Sparsity. CoRR abs/1511.00393 (2015) - [i8]Ankit Parekh, Ivan W. Selesnick:
Enhanced Low-Rank Matrix Approximation. CoRR abs/1511.01966 (2015) - 2014
- [j46]Po-Yu Chen, Ivan W. Selesnick
Translation-invariant shrinkage/thresholding of group sparse signals. Signal Process. 94: 476-489 (2014) - [j45]Ivan W. Selesnick
Sparse Signal Estimation by Maximally Sparse Convex Optimization. IEEE Trans. Signal Process. 62(5): 1078-1092 (2014) - [j44]Ivan W. Selesnick
Simultaneous Low-Pass Filtering and Total Variation Denoising. IEEE Trans. Signal Process. 62(5): 1109-1124 (2014) - [j43]Po-Yu Chen, Ivan W. Selesnick
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization. IEEE Trans. Signal Process. 62(13): 3464-3478 (2014) - [j42]Ivan W. Selesnick
Transient Artifact Reduction Algorithm (TARA) Based on Sparse Optimization. IEEE Trans. Signal Process. 62(24): 6596-6611 (2014) - [c34]Chin-Tuan Tan
Perceived quality of resonance based decomposed speech components under diotic and dichotic listening. ICASSP 2014: 925-929 - [c33]Ilker Bayram, Po-Yu Chen, Ivan W. Selesnick
Fused lasso with a non-convex sparsity inducing penalty. ICASSP 2014: 4156-4160 - 2013
- [j41]Xiaoran Ning, Ivan W. Selesnick
ECG Enhancement and QRS Detection Based on Sparse Derivatives. Biomed. Signal Process. Control. 8(6): 713-723 (2013) - [c32]Taehoon Kim, N. Sertac Artan, Ivan W. Selesnick
Seizure detection methods using a cascade architecture for real-time implantable devices. EMBC 2013: 1005-1008 - [c31]Ivan W. Selesnick
Total variation denoising with overlapping group sparsity. ICASSP 2013: 5696-5700 - [c30]Ivan W. Selesnick
Simultaneous polynomial approximation and total variation denoising. ICASSP 2013: 5944-5948 - [i7]Ivan W. Selesnick, Ilker Bayram:
Sparse Signal Estimation by Maximally Sparse Convex Optimization. CoRR abs/1302.5729 (2013) - [i6]Yin Ding, Ivan W. Selesnick:
Sparse Frequency Analysis with Sparse-Derivative Instantaneous Amplitude and Phase Functions. CoRR abs/1302.6523 (2013) - [i5]Po-Yu Chen, Ivan W. Selesnick:
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals. CoRR abs/1304.0035 (2013) - [i4]Po-Yu Chen, Ivan W. Selesnick:
Group-Sparse Signal Denoising: Concave Regularization, Convex Optimization. CoRR abs/1308.5038 (2013) - [i3]Jun Liu, Ting-Zhu Huang, Ivan W. Selesnick, Xiao-Guang Lv, Po-Yu Chen:
Image Restoration using Total Variation with Overlapping Group Sparsity. CoRR abs/1310.3447 (2013) - 2012
- [j40]Cagdas Bilen, Yao Wang, Ivan W. Selesnick
High-Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 370-379 (2012) - [j39]Ivan W. Selesnick
Polynomial Smoothing of Time Series With Additive Step Discontinuities. IEEE Trans. Signal Process. 60(12): 6305-6318 (2012) - [i2]Cagdas Bilen, Yao Wang, Ivan W. Selesnick:
High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing. CoRR abs/1203.4587 (2012) - [i1]Cagdas Bilen, Yao Wang, Ivan W. Selesnick:
Compressed Sensing for Moving Imagery in Medical Imaging. CoRR abs/1203.5772 (2012) - 2011
- [j38]Ivan W. Selesnick
Resonance-based signal decomposition: A new sparsity-enabled signal analysis method. Signal Process. 91(12): 2793-2809 (2011) - [j37]Ivan W. Selesnick
Wavelet Transform With Tunable Q-Factor. IEEE Trans. Signal Process. 59(8): 3560-3575 (2011) - [j36]Ilker Bayram, Ivan W. Selesnick
A Dual-Tree Rational-Dilation Complex Wavelet Transform. IEEE Trans. Signal Process. 59(12): 6251-6256 (2011) - [c29]Chin-Tuan Tan
Resonance-based decomposition for the manipulation of acoustic cues in speech: An assessment of perceived quality. WASPAA 2011: 333-336 - 2010
- [j35]Pavel A. Khazron, Ivan W. Selesnick
Spatiotemporal wavelet maximum a posteriori estimation for video denoising. J. Electronic Imaging 19(4): 043015 (2010) - [j34]Ali N. Akansu, Wouter A. Serdijn, Ivan W. Selesnick
Emerging applications of wavelets: A review. Phys. Commun. 3(1): 1-18 (2010) - [j33]Ilker Bayram, Ivan W. Selesnick
A subband adaptive iterative shrinkage/thresholding algorithm. IEEE Trans. Signal Process. 58(3): 1131-1143 (2010) - [c28]Cagdas Bilen, Ivan W. Selesnick
On compressed sensing in parallel MRI of cardiac perfusion using temporal wavelet and TV regularization. ICASSP 2010: 630-633 - [c27]Ivan W. Selesnick
Angle-Doppler processing using sparse regularization. ICASSP 2010: 2750-2753 - [c26]Ivan W. Selesnick
A new sparsity-enabled signal separation method based on signal resonance. ICASSP 2010: 4150-4153
2000 – 2009
- 2009
- [j32]Ilker Bayram, Ivan W. Selesnick
Overcomplete Discrete Wavelet Transforms With Rational Dilation Factors. IEEE Trans. Signal Process. 57(1): 131-145 (2009) - [j31]Ilker Bayram, Ivan W. Selesnick
Orthonormal FBs with rational sampling factors and oversampled DFT-modulated FBs: a connection and filter design. IEEE Trans. Signal Process. 57(7): 2515-2526 (2009) - [j30]Ilker Bayram, Ivan W. Selesnick
Frequency-domain design of overcomplete rational-dilation wavelet transforms. IEEE Trans. Signal Process. 57(8): 2957-2972 (2009) - 2008
- [j29]Bogdan Dumitrescu
Optimization of Symmetric Self-Hilbertian Filters for the Dual-Tree Complex Wavelet Transform. IEEE Signal Process. Lett. 15: 146-149 (2008) - [j28]Pavel A. Khazron, Ivan W. Selesnick
Bayesian Estimation of Bessel K Form Random Vectors in AWGN. IEEE Signal Process. Lett. 15: 261-264 (2008) - [j27]Ilker Bayram, Ivan W. Selesnick
On the Dual-Tree Complex Wavelet Packet and M-Band Transforms. IEEE Trans. Signal Process. 56(6): 2298-2310 (2008) - [j26]Ivan W. Selesnick:
The Estimation of Laplace Random Vectors in Additive White Gaussian Noise. IEEE Trans. Signal Process. 56(8-1): 3482-3496 (2008) - 2007
- [j25]Yuan-Pei Lin, See-May Phoong
Multirate Systems and Applications. EURASIP J. Adv. Signal Process. 2007 (2007) - [j24]Beibei Wang, Yao Wang, Ivan W. Selesnick
Video Coding Using 3D Dual-Tree Wavelet Transform. EURASIP J. Image Video Process. 2007 (2007) - [c25]Hossein Rabbani
Image Denoising Employing a Mixture of Circular Symmetric Laplacian Models with Local Parameters in Complex Wavelet Domain. ICASSP (1) 2007: 805-808 - 2006
- [j23]Nathaniel M. Alpert, Anthonin Reilhac
Optimization of dynamic measurement of receptor kinetics by wavelet denoising. NeuroImage 30(2): 444-451 (2006) - [j22]Ivan W. Selesnick
A Higher Density Discrete Wavelet Transform. IEEE Trans. Signal Process. 54(8): 3039-3048 (2006) - [c24]Wan Yee Lo, Ivan W. Selesnick
Wavelet-Domain Soft-Thresholding for Non-Stationary Noise. ICIP 2006: 1441-1444 - [c23]Ivan W. Selesnick
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function. ICIP 2006: 2097-2100 - [c22]Fei Shi, Ivan W. Selesnick
Multivariate Quasi-Laplacian Mixture Models Forwavelet-Based Image Denoising. ICIP 2006: 2625-2628 - [c21]Hossein Rabbani
Image Denoising Based on A Mixture of Bivariate Laplacian Models in Complex Wavelet Domain. MMSP 2006: 425-428 - 2005
- [j21]Ivan W. Selesnick
The dual-tree complex wavelet transform. IEEE Signal Process. Mag. 22(6): 123-151 (2005) - [j20]A. Farras Abdelnour, Ivan W. Selesnick
Symmetric nearly shift-invariant tight frame wavelets. IEEE Trans. Signal Process. 53(1): 231-239 (2005) - [c20]Beibei Wang, Yao Wang, Ivan W. Selesnick
Video Coding Using 3-D Dual-Tree Discrete Wavelet Transforms. ICASSP (2) 2005: 61-64 - 2004
- [j19]Jérôme Lebrun
Gröbner bases and wavelet design. J. Symb. Comput. 37(2): 227-259 (2004) - [j18]Ivan W. Selesnick
The double-density dual-tree DWT. IEEE Trans. Signal Process. 52(5): 1304-1314 (2004) - [c19]Fei Shi, Ivan W. Selesnick:
Video denoising using oriented complex wavelet transforms. ICASSP (2) 2004: 949-952 - [c18]Beibei Wang, Yao Wang, Ivan W. Selesnick, Anthony Vetro:
An investigation of 3D dual-tree wavelet transform for video coding. ICIP 2004: 1317-1320 - [c17]Ivan W. Selesnick, Richard M. Van Slyke, Onur G. Guleryuz:
Pixel recovery via el minimization in the wavelet domain. ICIP 2004: 1819-1822 - 2003
- [j17]Felix C. A. Fernandes, Ivan W. Selesnick
Complex wavelet transforms with allpass filters. Signal Process. 83(8): 1689-1706 (2003) - 2002
- [j16]Levent Sendur, Ivan W. Selesnick
Bivariate shrinkage with local variance estimation. IEEE Signal Process. Lett. 9(12): 438-441 (2002) - [j15]Ivan W. Selesnick
The design of approximate Hilbert transform pairs of wavelet bases. IEEE Trans. Signal Process. 50(5): 1144-1152 (2002) - [j14]Levent Sendur, Ivan W. Selesnick
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. IEEE Trans. Signal Process. 50(11): 2744-2756 (2002) - [c16]Levent Sendur, Ivan W. Selesnick:
A bivariate shrinkage function for wavelet-based denoising. ICASSP 2002: 1261-1264 - [c15]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, R. J. Reedstrom, Philip Schniter, Ivan W. Selesnick, Douglas B. Williams, W. L. Wilson:
Connexions: DSP education for a networked world. ICASSP 2002: 4144-4147 - [c14]Ivan W. Selesnick:
A new complex-directional wavelet transform and its application to image denoising. ICIP (3) 2002: 573-576 - [c13]Levent Sendur, Ivan W. Selesnick:
Subband adaptive image denoising via bivariate shrinkage. ICIP (3) 2002: 577-580 - 2001
- [j13]Ivan W. Selesnick
Hilbert transform pairs of wavelet bases. IEEE Signal Process. Lett. 8(6): 170-173 (2001) - [c12]Ivan W. Selesnick:
The design of Hilbert transform pairs of wavelet bases via the flat delay filter. ICASSP 2001: 3673-3676 - [c11]A. Farras Abdelnour, Ivan W. Selesnick:
Design of 2-band orthogonal near-symmetric CQF. ICASSP 2001: 3693-3696 - 2000
- [j12]Ivan W. Selesnick
Balanced multiwavelet bases based on symmetric FIR filters. IEEE Trans. Signal Process. 48(1): 184-191 (2000) - [c10]Ivan W. Selesnick, Levent Sendur:
Smooth wavelet frames with application to denoising. ICASSP 2000: 129-132
1990 – 1999
- 1999
- [j11]Ivan W. Selesnick
Balanced GHM-like multiscaling functions. IEEE Signal Process. Lett. 6(5): 111-112 (1999) - [j10]Ivan W. Selesnick
The slantlet transform. IEEE Trans. Signal Process. 47(5): 1304-1313 (1999) - [j9]Ivan W. Selesnick
Interpolating multiwavelet bases and the sampling theorem. IEEE Trans. Signal Process. 47(6): 1615-1621 (1999) - [c9]Ivan W. Selesnick:
Cardinal multiwavelets and the sampling theorem. ICASSP 1999: 1209-1212 - [c8]C. Sidney Burrus, Ivan W. Selesnick:
Parallel Structured Prime Length FFTs. PP 1999 - 1998
- [j8]Ivan W. Selesnick
A modified algorithm for constrained least square design of multiband FIR filters without specified transition bands. IEEE Trans. Signal Process. 46(2): 497-501 (1998) - [j7]Ivan W. Selesnick
Formulas for orthogonal IIR wavelet filters. IEEE Trans. Signal Process. 46(4): 1138-1141 (1998) - [j6]Ivan W. Selesnick
Generalized digital Butterworth filter design. IEEE Trans. Signal Process. 46(6): 1688-1694 (1998) - [j5]Ivan W. Selesnick
Multiwavelet bases with extra approximation properties. IEEE Trans. Signal Process. 46(11): 2898-2908 (1998) - 1997
- [c7]Ivan W. Selesnick:
New exchange rules for IIR filter design. ICASSP 1997: 2209-2212 - 1996
- [j4]Ivan W. Selesnick
Automatic generation of prime length FFT programs. IEEE Trans. Signal Process. 44(1): 14-24 (1996) - [j3]Markus Lang, Ivan W. Selesnick
Constrained least squares design of 2-D FIR filters. IEEE Trans. Signal Process. 44(5): 1234-1241 (1996) - [j2]Ivan W. Selesnick
Constrained least square design of FIR filters without specified transition bands. IEEE Trans. Signal Process. 44(8): 1879-1892 (1996) - [c6]Ivan W. Selesnick, C. Sidney Burrus:
Generalized digital Butterworth filter design. ICASSP 1996: 1367-1370 - 1995
- [c5]C. Sidney Burrus, Ivan W. Selesnick:
On programs for prime length FFTs and circular convolution. ICASSP 1995: 1137-1140 - [c4]Ivan W. Selesnick, Markus Lang, C. Sidney Burrus:
Constrained least square design of FIR filters without specified transition bands. ICASSP 1995: 1260-1263 - 1994
- [j1]C. Sidney Burrus, J. A. Barreto, Ivan W. Selesnick
Iterative reweighted least-squares design of FIR filters. IEEE Trans. Signal Process. 42(11): 2926-2936 (1994) - [c3]Haitao Guo, J. E. Odegard, Markus Lang, Ramesh A. Gopinath, Ivan W. Selesnick, C. Sidney Burrus:
Wavelet Based Speckle Reduction with Application to SAR Based ATD/R. ICIP (1) 1994: 75-79 - [c2]Ivan W. Selesnick, C. Sidney Burrus:
Extending Winograd's Small Convolution Algorithm to Longer Lengths. ISCAS 1994: 449-452 - 1993
- [c1]Ivan W. Selesnick, C. Sidney Burrus:
Multidimensional mapping techniques for convolution. ICASSP (3) 1993: 288-291
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: