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0501
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MMSE: minimum mean-squared error
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0809
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Low-Complexity Implementation of the Affine Projection Algorithm,
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0811
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Vigneron, V.,
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Barlovatz-Meimon, G.,
Malo, M.,
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Adaptive filtering and hypothesis testing:
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1003
Adaptive filtering; Maximum likelihood test; Microscopic imagery;
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Subbu, A.[Aparna],
Srivastav, A.[Abhishek],
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1011
Symbolic dynamic filtering (SDF) of one-dimensional time-series data
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Chakraborty, S.[Subhadeep],
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Subbu, A.[Aparna],
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SIViP(4), No. 4, November 2010, pp. 399-403.
WWW Link.
1101
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Wen, Y.C.[Yi-Cheng],
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1110
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Xia, Y.[Yili],
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1112
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Xia, Y.[Yili],
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Convergence, Covariance matrices, Estimation, Stability analysis,
Standards, Steady-state, Transient analysis,
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1209
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Yang, F.R.[Fei-Ran],
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An Improved Multiband-Structured Subband Adaptive Filter Algorithm,
SPLetters(19), No. 10, October 2012, pp. 647-650.
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1209
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Jeong, J.J.[Jae Jin],
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A Variable Step Size for Normalized Subband Adaptive Filters,
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1212
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Lee, J.[Junghsi],
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On the Step-Size Bounds of Frequency-Domain Block LMS Adaptive Filters,
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1212
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Shin, J.W.[Jae-Wook],
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Variable Step-Size Sign Subband Adaptive Filter,
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1302
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Liu, R.S.[Ri-Sheng],
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Su, Z.X.[Zhi-Xun],
Toward designing intelligent PDEs for computer vision:
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IVC(31), No. 1, January 2013, pp. 43-56.
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1302
Optimal control; PDEs; Image processing
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Kang, B.H.[Byung Hoon],
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An Efficient Line-Search Algorithm for Unbiased Recursive Least-Squares
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SPLetters(20), No. 7, 2013, pp. 693-696.
IEEE DOI
1307
recursive filters; unbiased RLS estimate
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Li, M.D.[Ma-Ding],
Liu, J.Y.[Jia-Ying],
Ren, J.[Jie],
Guo, Z.M.[Zong-Ming],
Patch-based image deblocking using geodesic distance weighted
low-rank approximation,
VCIP14(101-104)
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1504
approximation theory
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Zhang, Y.Q.[Yong-Qin],
Liu, J.Y.[Jia-Ying],
Yang, S.,
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Joint image denoising using self-similarity based low-rank
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VCIP13(1-6)
IEEE DOI
1402
Wiener filters
BibRef
Castoldi, F.T.,
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Application of a Minimum-Disturbance Description to Constrained
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SPLetters(20), No. 12, 2013, pp. 1215-1218.
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1311
Hessian matrices
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de Lamare, R.C.,
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IEEE DOI
1402
adaptive filters
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Kar, A.[Asutosh],
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A minimised complexity dynamic structure adaptive filter design for
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1402
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Eweda, E.[Eweda],
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Stochastic analysis of the least mean fourth algorithm for
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Springer DOI
1402
BibRef
Sen, P.,
Yilmaz, A.O.,
Factor Graph Based LMMSE Filtering for Colored Gaussian Processes,
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1407
Colored noise
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Shi, L.M.[Li-Ming],
Lin, Y.[Yun],
Convex Combination of Adaptive Filters under the Maximum Correntropy
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SPLetters(21), No. 11, November 2014, pp. 1385-1388.
IEEE DOI
1408
adaptive filters
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Çigla, C.[Cevahir],
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SP:IC(29), No. 9, 2014, pp. 998-1014.
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1410
Content adaptive filtering
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Liu, J.,
Li, H.,
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Threshold Setting for Adaptive Matched Filter and Adaptive Coherence
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SPLetters(22), No. 1, January 2015, pp. 11-15.
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1410
adaptive filters
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On False Alarm Rate of Matched Filter Under Distribution Mismatch,
SPLetters(22), No. 2, February 2015, pp. 167-171.
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1410
Gaussian processes
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Ieng, S.H.[Sio-Hoi],
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Asynchronous Neuromorphic Event-Driven Image Filtering,
PIEEE(102), No. 10, October 2014, pp. 1485-1499.
IEEE DOI
1410
BibRef
Earlier: A2, A1, A3:
Shapes to synchronize camera networks,
ICPR08(1-4).
IEEE DOI
0812
BibRef
And: A2, A1, A3:
Synchronization Using Shapes,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Sabatier, Q.,
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Asynchronous Event-Based Fourier Analysis,
IP(26), No. 5, May 2017, pp. 2192-2202.
IEEE DOI
1704
Algorithm design and analysis
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Deboeverie, F.[Francis],
Kleihorst, R.[Richard],
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Data-adaptive Filtering and the State of the Art in Image Processing,
SPIE(Newsroom), October 10, 2014.
DOI Link
1501
A plenary talk from SPIE Optics + Photonics 2014.
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Chen, B.D.[Ba-Dong],
Wang, J.J.[Jian-Ji],
Zhao, H.Q.[Hai-Quan],
Zheng, N.N.[Nan-Ning],
Principe, J.C.,
Convergence of a Fixed-Point Algorithm under Maximum Correntropy
Criterion,
SPLetters(22), No. 10, October 2015, pp. 1723-1727.
IEEE DOI
1506
adaptive filters
BibRef
Chen, B.D.[Ba-Dong],
Wang, X.[Xin],
Li, Y.S.[Ying-Song],
Principe, J.C.[Jose C.],
Maximum Correntropy Criterion With Variable Center,
SPLetters(26), No. 8, August 2019, pp. 1212-1216.
IEEE DOI
1908
Gaussian processes, optimisation, linear-in-parameter model,
kernel width, MCC-VC, optimization criterion,
robust learning
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Ni, J.G.[Jin-Gen],
Diffusion Sign Subband Adaptive Filtering Algorithm for Distributed
Estimation,
SPLetters(22), No. 11, November 2015, pp. 2029-2033.
IEEE DOI
1509
adaptive filters
BibRef
Hsia, S.C.[Shih-Chang],
Hsu, W.C.[Wei-Chih],
Tsai, C.L.[Cheng-Liang],
High-efficiency TV video noise reduction through adaptive
spatial-temporal frame filtering,
RealTimeIP(10), No. 3, September 2015, pp. 561-572.
Springer DOI
1509
BibRef
Arenas-Garcia, J.,
Azpicueta-Ruiz, L.,
Silva, M.,
Nascimento, V.,
Sayed, A.,
Combinations of Adaptive Filters:
Performance and convergence properties,
SPMag(33), No. 1, January 2016, pp. 120-140.
IEEE DOI
1601
BibRef
Deng, G.,
Edge-Aware BMA Filters,
IP(25), No. 1, January 2016, pp. 439-454.
IEEE DOI
1601
Bayesian model averaging.
Bayes methods
BibRef
Zhang, H.,
Yu, L.,
Xia, G.S.,
Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated
Frequency Estimation,
SPLetters(23), No. 1, January 2016, pp. 139-143.
IEEE DOI
1601
Algorithm design and analysis
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Bartyzel, K.[Krzysztof],
Adaptive Kuwahara filter,
SIViP(10), No. 4, April 2016, pp. 663-670.
WWW Link.
1604
BibRef
Nascimento, V.H.,
Zakharov, Y.V.,
RLS Adaptive Filter With Inequality Constraints,
SPLetters(23), No. 5, May 2016, pp. 752-756.
IEEE DOI
1604
Approximation algorithms
BibRef
Zheng, Z.,
Zhao, H.,
Bias-Compensated Normalized Subband Adaptive Filter Algorithm,
SPLetters(23), No. 6, June 2016, pp. 809-813.
IEEE DOI
1606
adaptive filters
BibRef
Lopes, W.B.,
Al-Nuaimi, A.,
Lopes, C.G.,
Geometric-Algebra LMS Adaptive Filter and Its Application to Rotation
Estimation,
SPLetters(23), No. 6, June 2016, pp. 858-862.
IEEE DOI
1606
adaptive filters
BibRef
Lu, L.[Lu],
Zhao, H.Q.[Hai-Quan],
Chen, C.X.[Chen-Xi],
A new normalized subband adaptive filter under minimum error entropy
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SIViP(10), No. 6, June 2016, pp. 1097-1103.
WWW Link.
1608
BibRef
Tan, X.[Xiao],
Sun, C.M.[Chang-Ming],
Pham, T.D.[Tuan D.],
Edge-Aware Filtering with Local Polynomial Approximation and
Rectangle-Based Weighting,
Cyber(46), No. 12, December 2016, pp. 2693-2705.
IEEE DOI
1612
BibRef
Earlier:
Multipoint Filtering with Local Polynomial Approximation and Range
Guidance,
CVPR14(2941-2948)
IEEE DOI
1409
Adaptation models
BibRef
Kilic, O.F.[O. Fatih],
Sayin, M.O.[M. Omer],
Delibalta, I.[Ibrahim],
Kozat, S.S.[Suleyman S.],
Computationally highly efficient mixture of adaptive filters,
SIViP(11), No. 2, February 2017, pp. 235-242.
Springer DOI
1702
BibRef
Khalili, A.[Azam],
Rastegarnia, A.[Amir],
Bazzi, W.M.[Wael M.],
Rahmati, R.G.[Reza G.],
Incremental augmented complex adaptive IIR algorithm for training
widely linear ARMA model,
SIViP(11), No. 3, March 2017, pp. 493-500.
Springer DOI
1702
BibRef
Khalili, A.[Azam],
Diffusion augmented complex adaptive IIR algorithm for training widely
linear ARMA models,
SIViP(12), No. 6, September 2018, pp. 1079-1086.
WWW Link.
1808
BibRef
Hatun, M.[Metin],
Koçal, O.H.[Osman Hilmi],
Stochastic convergence analysis of recursive successive over-relaxation
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SIViP(11), No. 1, January 2017, pp. 137-144.
WWW Link.
1702
BibRef
Shi, L.[Long],
Zhao, H.Q.[Hai-Quan],
L1-norm constrained normalized subband adaptive filter algorithm with
variable norm-bound parameter and improved version,
SIViP(11), No. 5, July 2017, pp. 865-871.
Springer DOI
1706
BibRef
Barbero, S.[Sergio],
Portilla, J.[Javier],
Simulating real-world scenes viewed through ophthalmic lenses,
JOSA-A(34), No. 8, August 2017, pp. 1301-1308.
DOI Link
1708
Ophthalmic optics and devices, Physiological optics,
Optical effects on vision, Visual optics, modeling
BibRef
Schaffner, M.,
Scheidegger, F.,
Cavigelli, L.,
Kaeslin, H.,
Benini, L.,
Smolic, A.,
Towards Edge-Aware Spatio-Temporal Filtering in Real-Time,
IP(27), No. 1, January 2018, pp. 265-280.
IEEE DOI
1712
IIR filters, approximation theory, filtering theory,
image motion analysis, image sampling, image sequences,
spatio-temporal filter
BibRef
Schmitt, L.,
Fichter, W.,
Cramer-Rao Lower Bound for State-Constrained Nonlinear Filtering,
SPLetters(24), No. 12, December 2017, pp. 1882-1885.
IEEE DOI
1712
filtering theory, mean square error methods, nonlinear filters,
position measurement, random processes, state estimation,
velocity measurement
BibRef
Zhang, X.[Xie],
Peng, S.Y.[Si-Yuan],
Wu, Z.Z.[Zong-Ze],
Zhou, Y.J.[Ya-Jing],
Fu, Y.[Yuli],
An improved proportionate least mean p-power algorithm for adaptive
filtering,
SIViP(12), No. 1, January 2018, pp. 59-66.
Springer DOI
1801
BibRef
Yu, Y.[Yi],
Zhao, H.Q.[Hai-Quan],
Lu, L.[Lu],
Steady-state behavior of the improved normalized subband adaptive
filter algorithm and its improvement in under-modeling,
SIViP(12), No. 4, May 2018, pp. 617-624.
WWW Link.
1805
BibRef
Shen, Z.J.[Zi-Jie],
Huang, T.M.[Tian-Min],
Zhou, K.[Kun],
L0-norm constraint normalized logarithmic subband adaptive filter
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SIViP(12), No. 5, July 2018, pp. 861-868.
WWW Link.
1806
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Cai, W.L.[Wei-Ling],
Yang, M.[Ming],
Song, F.Y.[Feng-Yi],
Image filtering method using trimmed statistics and edge preserving,
IET-IPR(12), No. 7, July 2018, pp. 1086-1094.
DOI Link
1806
BibRef
Peng, L.,
Li, X.,
Bi, D.,
Xie, Y.,
Robust Adaptive Filtering With q-Gaussian Kernel Mean p-Power Error,
SPLetters(25), No. 9, September 2018, pp. 1335-1339.
IEEE DOI
1809
adaptive filters, filtering theory, Gaussian noise,
learning (artificial intelligence), recursive filters,
robust learning
BibRef
Gao, L.,
Li, X.,
Bi, D.,
Xie, Y.,
A q-Gaussian Maximum Correntropy Adaptive Filtering Algorithm for
Robust Sparse Recovery in Impulsive Noise,
SPLetters(25), No. 12, December 2018, pp. 1770-1774.
IEEE DOI
1812
adaptive filters, Gaussian processes, gradient methods,
image denoising, image filtering, image reconstruction,
robust sparse recovery
BibRef
Shen, X.,
Song, Z.,
Fan, H.,
Fu, Q.,
General Bernoulli Filter for Arbitrary Clutter and Target Measurement
Processes,
SPLetters(25), No. 10, October 2018, pp. 1525-1529.
IEEE DOI
1810
Bayes methods, filtering theory, object detection, radar tracking,
target tracking, tracking filters, over-the-horizon radar,
measurement process
BibRef
Lara, P.[Pedro],
Igreja, F.[Filipe],
Tarrataca, L.D.T.J.[Luís D.T.J.],
Haddad, D.B.[Diego Barreto],
Petraglia, M.R.[Mariane R.],
Exact Expectation Evaluation and Design of Variable Step-Size
Adaptive Algorithms,
SPLetters(26), No. 1, January 2019, pp. 74-78.
IEEE DOI
1901
adaptive filters, convergence of numerical methods,
least mean squares methods, statistical analysis,
exact expectation analysis
BibRef
Li, Y.J.[Yi-Jun],
Huang, J.B.[Jia-Bin],
Ahuja, N.[Narendra],
Yang, M.H.[Ming-Hsuan],
Joint Image Filtering with Deep Convolutional Networks,
PAMI(41), No. 8, August 2019, pp. 1909-1923.
IEEE DOI
1907
For noise supression or resolution enhancement.
Feature extraction, Linear programming, Task analysis,
Visualization, Optimization, Image edge detection,
depth upsampling
BibRef
Shi, L.[Long],
Zhao, H.Q.[Hai-Quan],
Zakharov, Y.[Yuriy],
Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm,
SPLetters(26), No. 8, August 2019, pp. 1202-1206.
IEEE DOI
1908
adaptive filters, adaptive signal processing, filtering theory,
least mean squares methods,
shrinkage
BibRef
Li, W.J.[Wu-Jing],
He, W.[Wei],
Ou, X.F.[Xian-Feng],
Hu, W.J.[Wen-Jing],
Wu, J.H.[Jian-Hui],
Zhang, G.Y.[Guo-Yun],
Fast combination filtering based on weighted fusion,
JVCIR(62), 2019, pp. 226-233.
Elsevier DOI
1908
Filter, Linear combination, Multi-scale, Edge preserving
BibRef
Talebi, S.P.,
Werner, S.,
Mandic, D.P.,
Complex-Valued Nonlinear Adaptive Filters With Applications in
alpha-Stable Environments,
SPLetters(26), No. 9, September 2019, pp. 1315-1319.
IEEE DOI
1909
adaptive filters, filtering theory, nonlinear filters,
signal processing, statistical analysis,
fractional-order adaptive filtering
BibRef
Mack, W.,
Habets, E.A.P.,
Deep Filtering:
Signal Extraction and Reconstruction Using Complex Time-Frequency Filters,
SPLetters(27), 2020, pp. 61-65.
IEEE DOI
2001
Time-frequency analysis, Interference,
Customer relationship management, Image reconstruction,
time-frequency masking
BibRef
Hua, F.,
Richard, C.,
Chen, J.,
Wang, H.,
Borgnat, P.,
Gonçalves, P.,
Learning Combination of Graph Filters for Graph Signal Modeling,
SPLetters(26), No. 12, December 2019, pp. 1912-1916.
IEEE DOI
2001
convex programming, directed graphs, filtering theory,
learning (artificial intelligence), signal processing, group sparsity
BibRef
Kim, S.J.[Si-Jung],
Song, C.[Changho],
Jang, J.[Jinbeum],
Paik, J.[Joonki],
Edge-aware image filtering using a structure-guided CNN,
IET-IPR(14), No. 3, 28 February 2020, pp. 472-479.
DOI Link
2002
BibRef
Xu, L.J.[Li-Juan],
Wang, F.[Fan],
Dempere-Marco, L.[Laura],
Wang, Q.[Qi],
Yang, Y.[Yan],
Hu, X.P.[Xiao-Peng],
Path-Based Analysis for Structure-Preserving Image Filtering,
JMIV(62), No. 2, February 2020, pp. 253-271.
2002
BibRef
Lara, P.[Pedro],
Haddad, D.B.[Diego B.],
Tarrataca, L.[Luís],
Advances on the analysis of the LMS algorithm with a colored
measurement noise,
SIViP(14), No. 3, April 2020, pp. 529-536.
Springer DOI
2004
BibRef
Bhattacharjee, S.S.,
Kumar, K.,
George, N.V.,
Nearest Kronecker Product Decomposition Based Generalized Maximum
Correntropy and Generalized Hyperbolic Secant Robust Adaptive Filters,
SPLetters(27), 2020, pp. 1525-1529.
IEEE DOI
2009
Adaptive filters, correntropy, maximum correntropy criteria,
Kronecker product, system identification
BibRef
Gogineni, V.C.,
Talebi, S.P.,
Werner, S.,
Mandic, D.P.,
Fractional-Order Correntropy Adaptive Filters for Distributed
Processing of Alpha-Stable Signals,
SPLetters(27), 2020, pp. 1884-1888.
IEEE DOI
2011
Convergence, Signal processing algorithms, Calculus,
Random processes, Measurement uncertainty, Adaptation models,
fractional-order calculus
BibRef
Bu, P.H.[Peng-Hui],
Zhao, H.[Hong],
Jin, Y.S.[Yu-Sheng],
Ma, Y.Y.[Yue-Yang],
Linear Recursive Non-Local Edge-Aware Filter,
CirSysVideo(31), No. 5, 2021, pp. 1751-1763.
IEEE DOI
2105
BibRef
Liu, C.[Chong],
Yang, C.[Cui],
Wang, J.[Jun],
Window-aware guided image filtering via local entropy,
IET-IPR(15), No. 7, 2021, pp. 1459-1470.
DOI Link
2106
BibRef
Jiang, F.[Feng],
Chen, Z.Y.[Zhi-Yuan],
Nazir, A.[Amril],
Shi, W.Z.[Wu-Zhen],
Lim, W.X.[Wei-Xiang],
Liu, S.H.[Shao-Hui],
Rho, S.M.[Seung-Min],
Combining Fields of Experts (FoE) and K-SVD methods in pursuing
natural image priors,
JVCIR(78), 2021, pp. 103142.
Elsevier DOI
2107
FoE, K-SVD, Adaptive filters, Joint statistical prior, Nature image priors
BibRef
Tu, W.C.[Wei-Chih],
Chien, S.Y.[Shao-Yi],
Two-Way Recursive Filtering,
CirSysVideo(31), No. 11, November 2021, pp. 4255-4268.
IEEE DOI
2112
Image segmentation,
Image edge detection, Transforms, Filtering, Task analysis,
spatial propagation networks
BibRef
Yin, H.[Hui],
Zhou, F.[Fei],
Li, B.[Bin],
Metric of choosing the optimal parameter setting for edge aware
filtering,
IET-IPR(16), No. 2, 2022, pp. 453-469.
DOI Link
2201
BibRef
Zhang, X.[Xiao],
Ding, F.[Feng],
Optimal Adaptive Filtering Algorithm by Using the Fractional-Order
Derivative,
SPLetters(29), 2022, pp. 399-403.
IEEE DOI
2202
Signal processing algorithms, Finite impulse response filters,
Convergence, Colored noise, Mathematical models, Estimation,
fractional-order derivative
BibRef
Lin, D.Y.[Dong-Yuan],
Zhang, Q.Q.[Qiang-Qiang],
Chen, S.[Shanmou],
Wang, S.Y.[Shi-Yuan],
The Generalized HR q-Derivative and Its Application to Quaternion
Least Mean Square Algorithm,
SPLetters(29), No. 2022, pp. 857-861.
IEEE DOI
2204
Quaternions, Signal processing algorithms, Prediction algorithms,
Cost function, Calculus, Signal processing, q-QLMS
BibRef
Cui, W.C.[Wei-Chen],
Wang, T.[Tong],
Wang, D.[Degen],
Liu, K.[Kun],
An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive
Laplace Prior,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
Space-time adaptive processing.
BibRef
Qu, H.[Hua],
Wang, M.[Meng],
Zhao, J.H.[Ji-Hong],
Zhao, S.Y.[Shu-Yuan],
Li, T.[Taihao],
Yue, P.C.[Peng-Cheng],
Generalized Asymmetric Correntropy for Robust Adaptive Filtering:
A Theoretical and Simulation Study,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Hou, X.Y.[Xin-Yan],
Zhao, H.Q.[Hai-Quan],
Long, X.Q.[Xiao-Qiang],
An Innovative Transient Analysis of Adaptive Filter With Maximum
Correntropy Criterion,
SPLetters(29), 2022, pp. 1689-1693.
IEEE DOI
2208
Signal processing algorithms, Transient analysis,
Noise measurement, Behavioral sciences, Steady-state, Kernel,
performance analysis
BibRef
Tiglea, D.G.[Daniel G.],
Candido, R.[Renato],
Silva, M.T.M.[Magno T. M.],
A Variable Step Size Adaptive Algorithm With Simple Parameter
Selection,
SPLetters(29), 2022, pp. 1774-1778.
IEEE DOI
2208
Steady-state, Signal processing algorithms, Convergence,
Adaptive filters, Filtering algorithms, Prediction algorithms,
variable step size
BibRef
Li, L.[Lei],
Pu, Y.F.[Yi-Fei],
Xie, X.T.[Xue-Tao],
Performance Analysis of Fractional-Order Adaptive Filtering Algorithm
and Its Improvement,
SPLetters(29), 2022, pp. 1853-1857.
IEEE DOI
2209
Signal processing algorithms, Steady-state, Transient analysis,
Performance analysis, Behavioral sciences, Convergence,
heavy-tailed distribution
BibRef
Shipitsin, V.[Viktor],
Bespalov, I.[Iaroslav],
Dylov, D.V.[Dmitry V.],
GAFL: Global adaptive filtering layer for computer vision,
CVIU(223), 2022, pp. 103519.
Elsevier DOI
2210
Adaptive neural layer, Efficient training, Fourier filtering
BibRef
Valero, M.L.[M. Luis],
Mabande, E.,
Habets, E.A.P.[E. A. P.],
An Alternative Complexity Reduction Method for Partitioned-Block
Frequency-Domain Adaptive Filters,
SPLetters(23), No. 5, May 2016, pp. 668-672.
IEEE DOI
1604
Acoustics
BibRef
Yang, F.[Feiran],
Analysis of Unconstrained Partitioned-Block Frequency-Domain Adaptive
Filters,
SPLetters(29), 2022, pp. 2377-2381.
IEEE DOI
2212
Time-domain analysis, Frequency-domain analysis,
Eigenvalues and eigenfunctions, Convergence, Behavioral sciences,
steady-state solution
BibRef
Abdelrhman, O.M.[Omer M.],
Dou, Y.[Yuzi],
Li, S.[Sen],
Performance Analysis of the Standard Constrained Maximum Versoria
Criterion Based Adaptive Algorithm,
SPLetters(30), 2023, pp. 125-129.
IEEE DOI
2303
Steady-state, Standards, Transient analysis, Signal processing algorithms,
Gaussian noise, Adaptive filters, mean-square deviation
BibRef
Patel, V.[Vinal],
Bhattacharjee, S.S.[Sankha Subhra],
Christensen, M.G.[Mads Græsbøll],
Generalized Soft-Root-Sign Based Robust Sparsity-Aware Adaptive
Filters,
SPLetters(30), 2023, pp. 200-204.
IEEE DOI
2303
Adaptive filters, Cost function, Signal processing algorithms,
Robustness, Costs, Computational modeling, Adaptation models,
system identification
BibRef
Jain, S.[Sandesh],
Majhi, S.[Sudhan],
Sparsity-Constrained Kernel Recursive Generalized Maximum Versoria
Criterion Algorithm,
SPLetters(30), 2023, pp. 498-502.
IEEE DOI
2305
Signal processing algorithms, Kernel, Convergence,
Machine learning algorithms, Channel estimation,
sparse channel estimation
BibRef
Zhang, Q.Q.[Qiang-Qiang],
Lin, D.Y.[Dong-Yuan],
Xiao, Y.Y.[Ying-Ying],
Wang, S.Y.[Shi-Yuan],
Augmented Least Lncosh Conjugate Gradient Adaptive Filtering,
SPLetters(30), 2023, pp. 718-722.
IEEE DOI
2307
Prediction algorithms, Training, Signal processing algorithms,
Adaptation models, Testing, Robustness, Estimation,
least lncosh criterion
BibRef
Apicella, A.[Andrea],
Isgrò, F.[Francesco],
Pollastro, A.[Andrea],
Prevete, R.[Roberto],
Adaptive filters in Graph Convolutional Neural Networks,
PR(144), 2023, pp. 109867.
Elsevier DOI
2310
BibRef
And:
Dynamic Local Filters in Graph Convolutional Neural Networks,
CIAP23(II:406-417).
Springer DOI
2312
Graph Convolutional Neural Networks, Deep learning,
Dynamic neural networks, Programmable ANNs, Graph structure learning
BibRef
Zheng, L.T.[Li-Tao],
Yang, F.[Feng],
Shi, L.H.[Li-Hong],
Distributed Bernoulli Filter Based on Weighted Conservative Fusion,
SPLetters(31), 2024, pp. 666-670.
IEEE DOI
2403
Estimation, Uncertainty, Radio frequency, Location awareness,
Peer-to-peer computing, Target tracking, Protocols,
distributed flooding
BibRef
Wei, J.X.[Jing-Xin],
Luo, F.[Feng],
Qi, J.W.[Jia-Wei],
Luo, X.X.[Xian-Xian],
Distributed Fusion of Labeled Multi-Bernoulli Filters Based on
Arithmetic Average,
SPLetters(31), 2024, pp. 656-660.
IEEE DOI
2403
Radio frequency, Merging, Signal processing algorithms,
Target tracking, Partitioning algorithms, random finite set
BibRef
Zhao, J.[Ji],
Ni, X.[Xia],
Li, Q.[Qiang],
Tang, L.[Lingli],
Zhang, H.B.[Hong-Bin],
Evolving Order Based Affine Projection Sign Algorithm For Enhanced
Adaptive Filtering,
SPLetters(31), 2024, pp. 1530-1534.
IEEE DOI
2406
Convergence, Vectors, Steady-state, Signal processing algorithms,
Heuristic algorithms, Prediction algorithms,
affine projection sign algorithm
BibRef
Ganjimala, P.[Pavankumar],
Gogineni, V.C.[Vinay Chakravarthi],
Mula, S.[Subrahmanyam],
Performance Analysis of Hammerstein Block-Oriented Functional Link
Adaptive Filters,
SPLetters(31), 2024, pp. 2325-2329.
IEEE DOI
2410
Steady-state, Vectors, Convergence, Adaptive filters,
Nonlinear filters, Numerical simulation, Noise,
spline adaptive filters
BibRef
Wang, Y.H.[Yu-Hong],
Zhou, X.[Xu],
Zheng, Z.S.[Zong-Sheng],
Optimizing Subband Adaptive Filters for Resilience Against
Unanticipated Signal Truncation,
SPLetters(31), 2024, pp. 2765-2769.
IEEE DOI
2410
Signal processing algorithms, Adaptive filters, Filtering algorithms,
Convergence, Estimation, Filtering, signal truncation
BibRef
Lin, D.Y.[Dong-Yuan],
Cai, P.[Peng],
Chen, X.F.[Xiao-Feng],
Zheng, Y.F.[Yun-Fei],
Wang, S.Y.[Shi-Yuan],
Minimum Total Quaternion Error Entropy Filtering With Fiducial Points
Against Asymmetric Noise,
SPLetters(32), 2025, pp. 306-310.
IEEE DOI
2501
Quaternions, Noise, Entropy, Signal processing algorithms,
Adaptation models, Vectors, Parameter estimation, Kernel, asymmetric noise
BibRef
Doutsi, E.[Effrosyni],
Antonini, M.[Marc],
Tsakalides, P.[Panagiotis],
Retina-Inspired Spatio-Temporal Filtering for Dynamic Video Coding,
ICIP22(3321-3325)
IEEE DOI
2211
Video coding, Image coding, Costs, Filtering, Dynamics,
Video sequences, Memory management, Center-surround filter,
perception-based processing
BibRef
Lim, W.Q.[Wang-Q],
Pfaff, J.[Jonathan],
Stallenberger, B.[Björn],
Erfurt, J.[Johannes],
Schwarz, H.[Heiko],
Marpe, D.[Detlev],
Wiegand, T.[Thomas],
Adaptive Loop Filter with a CNN-Based Classification,
ICIP22(1836-1840)
IEEE DOI
2211
Video coding, Adaptive systems, Filtering,
Finite impulse response filters, Adaptive filters, Libraries,
Wiener filtering
BibRef
Wang, Z.[Ze],
Miao, Z.C.[Zi-Chen],
Hu, J.[Jun],
Qiu, Q.[Qiang],
Adaptive Convolutions with Per-pixel Dynamic Filter Atom,
ICCV21(12282-12291)
IEEE DOI
2203
Adaptation models, Costs, Atomic layer deposition,
Computational modeling, Adaptive filters, Image restoration,
Efficient training and inference methods
BibRef
Suzuki, A.[Aiga],
Ito, K.[Keiichi],
Ibe, T.[Takahide],
Otsu, N.[Nobuyuki],
AdaFilter: Adaptive Filter Design with Local Image Basis
Decomposition for Optimizing Image Recognition Preprocessing,
ICPR21(2118-2125)
IEEE DOI
2105
Maximum likelihood detection, Image recognition,
Adaptive filters, Nonlinear filters, Filtering algorithms,
BibRef
Ofir, N.[Nati],
Keller, Y.[Yosi],
Multi-scale Processing of Noisy Images using Edge Preservation Losses,
ICPR21(1-8)
IEEE DOI
2105
Training, Runtime, Image edge detection, Noise reduction,
Graphics processing units, Robustness, Complexity theory
BibRef
Gavaskar, R.G.,
Chaudhury, K.N.,
Fast Adaptive Bilateral Filtering of Color Images,
ICIP19(180-184)
IEEE DOI
1910
color processing, bilateral filter, fast algorithm, histogram, covariance
BibRef
Wu, H.,
Zheng, S.,
Zhang, J.,
Huang, K.,
Fast End-to-End Trainable Guided Filter,
CVPR18(1838-1847)
IEEE DOI
1812
Task analysis, Training, Image resolution, Filtering
BibRef
Hristova, H.[Hristina],
Le Meur, O.[Olivier],
Cozot, R.[Remi],
Bouatouch, K.[Kadi],
Multi-purpose bi-local CAT-based guidance filter,
SP:IC(65), 2018, pp. 141-153.
Elsevier DOI
1805
Guidance filter, Chromatic adaptation transform, Image filtering
BibRef
Zhang, Y.[Yuan],
Xi, S.T.[Song-Tao],
New LMS Adaptive Filtering Algorithm with Variable Step Size,
ICVISP17(1-4)
IEEE DOI
1712
Signal processing, LMS algorithm, MSE, adaptive filter,
convergence speed, variable step size adaptive filtering algorithm
BibRef
Chao, Y.H.,
Egilmez, H.E.,
Ortega, A.,
Yea, S.,
Lee, B.,
Edge adaptive graph-based transforms:
Comparison of step/ramp edge models for video compression,
ICIP16(1539-1543)
IEEE DOI
1610
Adaptation models
BibRef
Marchant, R.,
Scale Adaptive Filters,
DICTA15(1-8)
IEEE DOI
1603
Fourier series
BibRef
Onuki, M.[Masaki],
Ono, S.[Shunsuke],
Shirai, K.[Keiichiro],
Tanaka, Y.[Yuichi],
Non-local/local image filters using fast eigenvalue filtering,
ICIP15(4659-4663)
IEEE DOI
1512
Chebyshev polynomial approximation
BibRef
Zhou, M.C.[Ming-Cai],
Liu, Z.H.[Zhi-Hua],
Hong, T.[Tao],
Wang, X.Y.[Xi-Ying],
Wang, H.T.[Hai-Tao],
Sun, X.[Xun],
Efficient O(1) edge-aware filter,
ICIP15(1295-1299)
IEEE DOI
1512
Geodesic distance
BibRef
Ham, B.[Bumsub],
Cho, M.S.[Min-Su],
Ponce, J.[Jean],
Robust image filtering using joint static and dynamic guidance,
CVPR15(4823-4831)
IEEE DOI
1510
BibRef
El Madani El Alami, Y.,
Nfaoui, E.H.,
El Beqqali, O.,
Toward an effective hybrid collaborative filtering: A new approach
based on matrix factorization and heuristic-based neighborhood,
ISCV15(1-8)
IEEE DOI
1506
collaborative filtering
BibRef
Sakiyama, A.[Akie],
Tanaka, Y.[Yuichi],
Edge-aware image graph expansion methods for oversampled graph
Laplacian matrix,
ICIP14(2958-2962)
IEEE DOI
1502
Approximation methods
BibRef
Hamamoto, A.[Ami],
Onuki, M.[Masaki],
Tanaka, Y.[Yuichi],
Multidimensional linear-phase perfect reconstruction filter banks
with higher order feasible building blocks,
ICIP14(2963-2967)
IEEE DOI
1502
Delays
BibRef
Almogahed, B.A.,
Kakadiaris, I.A.,
NEATER:
Filtering of Over-sampled Data Using Non-cooperative Game Theory,
ICPR14(1371-1376)
IEEE DOI
1412
Game theory
BibRef
García-Vega, S.,
Álvarez-Meza, A.M.,
Castellanos-Domínguez, G.[Germán],
Time-Series Prediction Based on Kernel Adaptive Filtering with
Cyclostationary Codebooks,
IbPRIA15(354-361).
Springer DOI
1506
BibRef
Earlier:
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering,
CIARP14(351-358).
Springer DOI
1411
BibRef
Wang, S.L.[Shen-Long],
Zhang, L.[Lei],
Urtasun, R.,
Transductive Gaussian processes for image denoising,
ICCP14(1-8)
IEEE DOI
1411
self-similarity in denoising.
Gaussian processes
BibRef
Hua, M.[Miao],
Bie, X.H.[Xiao-Hui],
Zhang, M.Y.[Min-Ying],
Wang, W.C.[Wen-Cheng],
Edge-Aware Gradient Domain Optimization Framework for Image Filtering
by Local Propagation,
CVPR14(2838-2845)
IEEE DOI
1409
edge-aware; edit propagation; image filtering
BibRef
Chen, X.W.[Xiao-Wu],
Zou, D.Q.[Dong-Qing],
Li, J.W.[Jian-Wei],
Cao, X.C.[Xiao-Chun],
Zhao, Q.P.[Qin-Ping],
Zhang, H.[Hao],
Sparse Dictionary Learning for Edit Propagation of High-Resolution
Images,
CVPR14(2854-2861)
IEEE DOI
1409
Filtering.
BibRef
Särkkä, S.[Simo],
Solin, A.[Arno],
Continuous-Space Gaussian Process Regression and Generalized Wiener
Filtering with Application to Learning Curves,
SCIA13(172-181).
Springer DOI
1311
BibRef
Shirai, K.[Keiichiro],
Okuda, M.[Masahiro],
Jinno, T.[Takao],
Okamoto, M.[Masayuki],
Ikehara, M.[Masaaki],
Local Covariance Filtering for Color Images,
ACCV12(IV:406-417).
Springer DOI
1304
BibRef
Liu, Y.[Ying],
He, D.[Dake],
Fieguth, P.W.[Paul W.],
Adaptive post-filtering based on Local Binary Patterns,
ICIP12(2905-2908).
IEEE DOI
1302
BibRef
Anderes, E.[Ethan],
Robust adaptive Wiener filtering,
ICIP12(3081-3084).
IEEE DOI
1302
BibRef
Mohammad, F.,
Ansari, R.,
Wanek, J.,
Shahidi, M.,
Frequency-based local content adaptive filtering algorithm for
automated photoreceptor cell density quantification,
ICIP12(2325-2328).
IEEE DOI
1302
BibRef
Tsai, C.Y.[Chia-Yang],
Chen, C.Y.[Ching-Yeh],
Fu, C.M.[Chih-Ming],
Huang, Y.W.[Yu-Wen],
Lei, S.[Shawmin],
One-pass encoding algorithm for adaptive loop filter in high-efficiency
video coding,
VCIP11(1-4).
IEEE DOI
1201
BibRef
Yoshino, T.[Tomonobu],
Naito, S.[Sei],
Adaptive loop filter technology based on analytical design considering
local image characteristics,
ICIP11(3477-3480).
IEEE DOI
1201
BibRef
Krebs, A.[Andreas],
Wiklund, J.[Johan],
Felsberg, M.[Michael],
Optimization of Quadrature Filters Based on the Numerical Integration
of Improper Integrals,
DAGM11(91-100).
Springer DOI
1109
BibRef
Gardezi, A.[Akber],
Alkandri, A.[Ahmed],
Birch, P.[Philip],
Qureshi, T.[Tabassum],
Young, R.C.D.[Rupert C.D.],
Chatwin, C.R.[Chris R.],
An implementation and performance evaluation of a space variant OT-MACH
filter for a security detection application using FLIR sensor,
AIPR10(1-7).
IEEE DOI
1010
Optimal Trade-off Maximum Average Correlation Height (OT-MACH).
BibRef
Arezki, M.,
Guessoum, A.,
Meyrueis, P.,
A FAST Algorithm for Adaptive Filtering,
WSSIP09(1-4).
IEEE DOI
0906
BibRef
Urbach, E.R.,
Contextual image filtering,
IVCNZ09(299-303).
IEEE DOI
0911
BibRef
Hussein, M.[Mohamed],
Porikli, F.M.[Fatih M.],
Davis, L.S.[Larry S.],
Kernel integral images: A framework for fast non-uniform filtering,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Hu, N.[Nan],
Cheung, S.C.S.,
Nguyen, T.[Thinh],
Secure Image Filtering,
ICIP06(1553-1556).
IEEE DOI
0610
BibRef
He, L.[Lulu],
Wang, H.Y.[Hong-Yuan],
Spatial-variant Image Filtering Based on Bidimensional Empirical Mode
Decomposition,
ICPR06(II: 1196-1199).
IEEE DOI
0609
BibRef
Bakir, G.H.[Gökhan H.],
Gretton, A.[Arthur],
Franz, M.O.[Matthias O.],
Schölkopf, B.[Bernhard],
Multivariate Regression via Stiefel Manifold Constraints,
DAGM04(262-269).
Springer DOI
0505
BibRef
Franz, M.O.[Matthias O.],
Kwon, Y.H.[Young-Hee],
Rasmussen, C.E.[Carl Edward],
Schölkopf, B.[Bernhard],
Semi-supervised Kernel Regression Using Whitened Function Classes,
DAGM04(18-26).
Springer DOI
0505
BibRef
Cawley, G.C.,
Talbot, N.L.C.,
Efficient model selection for kernel logistic regression,
ICPR04(II: 439-442).
IEEE DOI
0409
BibRef
Torma, P.[Péter],
Szepesvári, C.[Csaba],
Enhancing Particle Filters Using Local Likelihood Sampling,
ECCV04(Vol I: 16-27).
Springer DOI
0405
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Chang, C.[Cheng],
Ansari, R.,
Kernel particle filter: iterative sampling for efficient visual
tracking,
ICIP03(III: 977-980).
IEEE DOI
0312
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Granmo, O.C.[Ole-Christoffer],
Eliassen, F.[Frank],
Lysne, O.[Olav],
Eide, V.S.W.[Viktor S. Wold],
Techniques for Parallel Execution of the Particle Filter,
SCIA03(983-990).
Springer DOI
0310
BibRef
Kobatake, H.[Hidefumi],
Jun, W.[Wei],
Yoshinaga, Y.[Yukiyasu],
Hagihara, Y.[Yoshihiro],
Shimizu, A.[Akinobu],
Nonlinear Adaptive Convergence Index Filters and Their Characteristics,
ICPR00(Vol III: 522-525).
IEEE DOI
0009
BibRef
Sarca, O.,
Tabus, I., and
Astola, J.T.,
Threshold Decomposition Based Locally Adaptive Linear Filters,
ICIP97(I: 409-412).
IEEE DOI
BibRef
9700
Tabus, I.,
Rissanen, J.J., and
Astola, J.T.,
Adaptive L-Predictors Based on Finite State Machine Context Selection,
ICIP97(I: 401-404).
IEEE DOI
BibRef
9700
Zhang, J.Y.[Jin-You],
Estimating adaptive kernels from local image grey value changes,
ICIP95(II: 141-144).
IEEE DOI
9510
BibRef
Jarosz, H.,
Crettez, J.P.,
Adaptive Size for Operators in Line Image Processing,
ICPR88(II: 814-817).
IEEE DOI
BibRef
8800
Yan, X.J.[Xue-Jun],
Huang, Z.[Zeulu],
Adaptive spatial filtering for digital images,
ICPR88(II: 811-813).
IEEE DOI
8811
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Steerable Filters .