Ying Tan

Dragan Nesic, Thang Nguyen, Ying Tan, Chris Manzie: A non-gradient approach to global extremum seeking: An adaptation of the Shubert algorithm. Automatica 49(3): 809-815 (2013)

Zongjie Cao, Ying Tan, Jilan Feng: Segmentation of PolSAR image by using an automatic initialized variational model and a dual optimization approach. EURASIP J. Wireless Comm. and Networking 2013: 34 (2013)

Liping Xie, Jian Yin, Hongli Zhang, Ying Tan: Mass functions design of artificial physics optimisation algorithm for constrained optimisation problem. IJCAT 46(3): 220-227 (2013)

Gangjun Yang, Liping Xie, Ying Tan, Zhihua Cui: Artificial physics optimisation algorithm guided by diversity. IJCAT 46(4): 369-375 (2013)

Fuchun Sun, Ying Tan, Huaping Liu: Special issue on prediction, control and diagnosis using advanced neural computations. Inf. Sci. 237: 1-2 (2013)

Suicheng Gu, Ying Tan, Xingui He: Recentness biased learning for time series forecasting. Inf. Sci. 237: 29-38 (2013)

Jun Wang, Ying Tan: Efficient Euclidean distance transform algorithm of binary images in arbitrary dimensions. Pattern Recognition 46(1): 230-242 (2013)

Hao Shen, Ying Tan, Jun Lu, Qing Wu, Qinru Qiu: Achieving autonomous power management using reinforcement learning. ACM Trans. Design Autom. Electr. Syst. 18(2): 24 (2013)

Ying Tan, Hao-Hui Dai, Deqing Huang, Jian-Xin Xu: Unified iterative learning control schemes for nonlinear dynamic systems with nonlinear input uncertainties. Automatica 48(12): 3173-3182 (2012)

Xingjuan Cai, Shujing Fan, Ying Tan: Light responsive curve selection for photosynthesis operator of APOA. IJBIC 4(6): 373-379 (2012)

Xi Yang, Jinzhi Wang, Ying Tan: Robustness analysis of leader-follower consensus for multi-agent systems characterized by double integrators. Systems & Control Letters 61(11): 1103-1115 (2012)

Shou-Han Zhou, Denny Oetomo, Ying Tan, Etienne Burdet, Iven M. Y. Mareels: Modeling Individual Human Motor Behavior Through Model Reference Iterative Learning Control. IEEE Trans. Biomed. Engineering 59(7): 1892-1901 (2012)

Ying Tan, Yuchun Fang, Yang Li, Wang Dai: Adaptive Kernel Size Selection for Correntropy Based Metric. ACCV Workshops (1) 2012: 50-60

Ying Tan, Hong Luo, Shou-Li Peng: Distribution of Node Characteristics in Complex Networks of Tree Class. AMT 2012: 451-462

Dragan Nesic, Thang Nguyen, Ying Tan, Chris Manzie: On a shubert algorithm-based global Extremum Seeking Scheme. CDC 2012: 1615-1620

Thanh Van Dinh, Chris T. Freeman, Paul L. Lewin, Ying Tan: Convergence and robustness of a point-to-point iterative learning control algorithm. CDC 2012: 4678-4683

Wei Jiang, Yuchun Fang, Zhonghua Zhou, Ying Tan: Active Shape Model with random forest for facial features detection. ICPR 2012: 593-596

Yuanchun Zhu, Guyue Mi, Ying Tan: Query based hybrid learning models for adaptively adjusting locality. IJCNN 2012: 1-8

Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi: An empirical study on influence of approximation approaches on enhancing fireworks algorithm. SMC 2012: 1322-1327

Xi Huang, Ying Tan, Xingui He: A Classifier Based on Minimum Circum Circle. ICSI (2) 2012: 74-83

Jun Wang, Ying Tan: Hausdorff Distance with k-Nearest Neighbors. ICSI (2) 2012: 272-281

Pengtao Zhang, Ying Tan: A Danger Feature Based Negative Selection Algorithm. ICSI (1) 2012: 291-299

Ying Tan, Yuhui Shi, Zhen Ji (Eds.): Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part I. Lecture Notes in Computer Science 7331, Springer 2012, isbn 978-3-642-30975-5

Ying Tan, Yuhui Shi, Zhen Ji (Eds.): Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part II. Lecture Notes in Computer Science 7332, Springer 2012, isbn 978-3-642-31019-5

Junqi Zhang, Lina Ni, Chen Xie, Ying Tan, Zheng Tang: AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer. IEICE Transactions 94-D(4): 786-797 (2011)

Congshan Qu, Hualong Xu, Ying Tan: SINS/CNS integrated navigation solution using adaptive unscented Kalman filtering. IJCAT 41(1/2): 109-116 (2011)

Simin Mo, Jianchao Zeng, Ying Tan: Particle swarm optimisation based on self-organisation topology driven by different fitness rank. IJCSE 6(1/2): 24-33 (2011)

Xiaobo Zhou, Ying Tan: Group-decided Watts-Strogatz particle swarm optimisation. IJCSE 6(1/2): 52-59 (2011)

Liping Xie, Ying Tan, Jianchao Zeng, Zhihua Cui: The convergence analysis of artificial physics optimisation algorithm. IJIIDS 5(6): 536-554 (2011)

Andreas Janecek, Ying Tan: Swarm Intelligence for Non-Negative Matrix Factorization. IJSIR 2(4): 12-34 (2011)

Jian Yao, Zhihua Cui, Zhanhong Wei, Ying Tan: Hybrid group search optimiser with quadratic interpolation method and its application. IJWMC 5(1): 98-106 (2011)

Ge-Fei Hao, Ying Tan, Ning-Xi Yu, Guang-Fu Yang: Structure-activity relationships of diphenyl-ether as protoporphyrinogen oxidase inhibitors: insights from computational simulations. Journal of Computer-Aided Molecular Design 25(3): 213-222 (2011)

Chaoli Sun, Ying Tan, Jianchao Zeng, Jengshyang Pan, Yuanfang Tao: The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO. JCP 6(8): 1585-1590 (2011)

Wei Wang, Pengtao Zhang, Ying Tan, Xingui He: Animmune local concentration based virus detection approach. Journal of Zhejiang University - Science C 12(6): 443-454 (2011)

Xi Huang, Ying Tan, Xingui He: An Intelligent Multifeature Statistical Approach for the Discrimination of Driving Conditions of a Hybrid Electric Vehicle. IEEE Transactions on Intelligent Transportation Systems 12(2): 453-465 (2011)

Hongjuan Yang, Zhihua Cui, Liang Wang, Xingjuan Cai, Ying Tan, Jianna Wu: Group-decided particle swarm optimization. IEEE ICCI*CC 2011: 362-366

Yichen Wu, Yuchun Fang, Ying Tan: Fuzzy Cyclic Random Mapping for Face Recognition Based on MD-RiuLBP Feature. CCBR 2011: 50-57

Ti-Chung Lee, Ying Tan, Dragan Nesic: New stability criteria for switched time-varying systems: Output-persistently exciting conditions. CDC-ECE 2011: 6146-6152

Jun Wang, Ying Tan: Efficient Euclidean distance transform using perpendicular bisector segmentation. CVPR 2011: 1625-1632

Jun Wang, Ying Tan: Morphological image enhancement procedure design by using genetic programming. GECCO 2011: 1435-1442

Andreas Janecek, Ying Tan: Iterative improvement of the Multiplicative Update NMF algorithm using nature-inspired optimization. ICNC 2011: 1668-1672

Liping Xie, Ying Tan, Jianchao Zeng: A study on the effect of Vmax in Artificial physics optimization algorithm with high dimension. SoCPaR 2011: 550-555

Kebin Wang, Ying Tan: A New Collaborative Filtering Recommendation Approach Based on Naive Bayesian Method. ICSI (2) 2011: 218-227

Andreas Janecek, Ying Tan: Using Population Based Algorithms for Initializing Nonnegative Matrix Factorization. ICSI (2) 2011: 307-316

Yuanchun Zhu, Ying Tan: A Danger Theory Inspired Learning Model and Its Application to Spam Detection. ICSI (1) 2011: 382-389

Jun Wang, Ying Tan: A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method. ICSI (1) 2011: 549-558

Andreas Janecek, Ying Tan: Feeding the Fish - Weight Update Strategies for the Fish School Search Algorithm. ICSI (2) 2011: 553-562

Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds.): Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6728, Springer 2011, isbn 978-3-642-21514-8

Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds.): Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6729, Springer 2011, isbn 978-3-642-21523-0

Suicheng Gu, Ying Tan, Xingui He: Laplacian smoothing transform for face recognition. SCIENCE CHINA Information Sciences 53(12): 2415-2428 (2010)

Pengtao Zhang, Wei Wang, Ying Tan: A malware detection model based on a negative selection algorithm with penalty factor. SCIENCE CHINA Information Sciences 53(12): 2461-2471 (2010)

Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, Zheng Tang: Hybrid Uniform Distribution of Particle Swarm Optimizer. IEICE Transactions 93-A(10): 1782-1791 (2010)

Liping Xie, Ying Tan, Jianchao Zeng, Zhihua Cui: Artificial physics optimisation: a brief survey. IJBIC 2(5): 291-302 (2010)

Suicheng Gu, Ying Tan, Xingui He: Discriminant analysis via support vectors. Neurocomputing 73(10-12): 1669-1675 (2010)

Ying Tan: Particle Swarm Optimization Algorithms Inspired by Immunity-Clonal Mechanism and Their Applications to Spam Detection. IJSIR 1(1): 64-86 (2010)

Guangchen Ruan, Ying Tan: A three-layer back-propagation neural network for spam detection using artificial immune concentration. Soft Comput. 14(2): 139-150 (2010)

Weibing Fan, Zhihua Cui, Yongjing Chen, Ying Tan: Nonlinear Time-Varying Stability Analysis of Particle Swarm Optimization. CASoN 2010: 3-6

Gangjun Yang, Liping Xie, Ying Tan, Jianchao Zeng: A Hybrid Vector Artificial Physics Optimization with One-Dimensional Search Method. CASoN 2010: 19-22

Simin Mo, Jianchao Zeng, Ying Tan: Particle Swarm Optimization Based on Self-organizing Topology Driven by Fitness. CASoN 2010: 23-26

Huanhuan Ji, Jing Jie, Junji Li, Ying Tan: A Bi-swarm Particle Swarm Optimization with Cooperative Co-evolution. CASoN 2010: 323-326

Xiao Zhang, Ying Tan, Yungang Li, Iven M. Y. Mareels: On the modelling complexity and utility of an EMS system. CDC 2010: 3523-3528

Dragan Nesic, Ying Tan, William H. Moase, Chris Manzie: A unifying approach to extremum seeking: Adaptive schemes based on estimation of derivatives. CDC 2010: 4625-4630

Yuanchun Zhu, Ying Tan: Extracting discriminative information from e-mail for spam detection inspired by Immune System. IEEE Congress on Evolutionary Computation 2010: 1-7

Wei Liu, Ying Tan, Qinru Qiu: Enhanced Q-learning algorithm for dynamic power management with performance constraint. DATE 2010: 602-605

You Zhou, Ying Tan: Particle swarm optimization with triggered mutation and its implementation based on GPU. GECCO 2010: 1-8

Jun Wang, Ying Tan: A novel genetic programming based morphological image analysis algorithm. GECCO 2010: 979-980

Ying Tan, Mehmet C. Vuran, Steve Goddard, Yue Yu, Miao Song, Shangping Ren: A concept lattice-based event model for Cyber-Physical Systems. ICCPS 2010: 50-60

Kun Liu, Ying Tan, Xingui He: Particle Swarm Optimization Based Learning Method for Process Neural Networks. ISNN (1) 2010: 280-287

Yan Wang, Jianchao Zeng, Ying Tan: An Artificial Physics Optimization Algorithm for Multi-Objective Problems Based on Virtual Force Sorting Proceedings. SEMCCO 2010: 615-622

Kun Liu, Ying Tan, Xingui He: An Adaptive Staged PSO Based on Particles' Search Capabilities. ICSI (1) 2010: 52-59

Junqi Zhang, Kun Liu, Ying Tan: KNOB Particle Swarm Optimizer. ICSI (1) 2010: 78-85

Wei Wang, Pengtao Zhang, Ying Tan: An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization. ICSI (1) 2010: 347-354

Ying Tan, Yuanchun Zhu: Fireworks Algorithm for Optimization. ICSI (1) 2010: 355-364

Xi Huang, Ying Tan, Xingui He: A Torque Control Strategy with Charge Buffer for Parallel Hybrid Electric Vehicle. VTC Fall 2010: 1-5

Ying Tan, Yuhui Shi, Kay Chen Tan (Eds.): Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6145, Springer 2010, isbn 978-3-642-13494-4

Ying Tan, Yuhui Shi, Kay Chen Tan (Eds.): Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6146, Springer 2010, isbn 978-3-642-13497-5

Ying Tan, Dragan Nesic, Iven M. Y. Mareels, Alessandro Astolfi: On global extremum seeking in the presence of local extrema. Automatica 45(1): 245-251 (2009)

Xingjuan Cai, Yan Cui, Ying Tan: Predicted modified PSO with time-varying accelerator coefficients. IJBIC 1(1/2): 50-60 (2009)

Xingjuan Cai, Ying Tan: A study on the effect of v_max in particle swarm optimisation with high dimension. IJBIC 1(3): 210-216 (2009)

Ying Tan, Emmanuel Trélat, Yacine Chitour, Dragan Nesic: Dynamic practical stabilization of sampled-data linear distributed parameter systems. CDC 2009: 5508-5513

You Zhou, Ying Tan: GPU-based parallel particle swarm optimization. IEEE Congress on Evolutionary Computation 2009: 1493-1500

Wei Wang, Pengtao Zhang, Ying Tan, Xingui He: A Hierarchical Artificial Immune Model for Virus Detection. CIS (1) 2009: 1-5

Rui Chao, Ying Tan: A Virus Detection System Based on Artificial Immune System. CIS (1) 2009: 6-10

Ying Tan, Wei Liu, Qinru Qiu: Adaptive power management using reinforcement learning. ICCAD 2009: 461-467

Ying Tan, Mehmet C. Vuran, Steve Goddard: Spatio-Temporal Event Model for Cyber-Physical Systems. ICDCS Workshops 2009: 44-50

Xi Huang, Ying Tan, Xingui He: An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle. IJCNN 2009: 1286-1293

Ying Tan, Chao Deng, Guangchen Ruan: Concentration based feature construction approach for spam detection. IJCNN 2009: 3088-3093

Suicheng Gu, Ying Tan, Xingui He: Orthogonal Quadratic Discriminant Functions for Face Recognition. ISNN (3) 2009: 466-475

Ying Tan, Lan Huang, Hong Qi, Yandong Zhai: Design and Implementation of Chinese Text Clustering System. NCM 2009: 1136-1140

Bin Yang, Chunyang Li, Lan Huang, Ying Tan, Chunguang Zhou: Solving One-dimensional Cutting-Stock Problem Based on Ant Colony Optimization. NCM 2009: 1188-1191

Ying Tan, Junqi Zhang: Magnifier Particle Swarm Optimization. Nature-Inspired Algorithms for Optimisation 2009: 279-298

Ying Tan, Dragan Nesic, Iven M. Y. Mareels: On the choice of dither in extremum seeking systems: A case study. Automatica 44(5): 1446-1450 (2008)

Xingjuan Cai, Zhihua Cui, Jianchao Zeng, Ying Tan: Dispersed particle swarm optimization. Inf. Process. Lett. 105(6): 231-235 (2008)

Ying Tan, Steve Goddard, Lance C. Pérez: A prototype architecture for cyber-physical systems. SIGBED Review 5(1): 26 (2008)

Junqi Zhang, Zhongmin Xiao, Ying Tan, Xingui He: Hybrid particle swarm optimizer with advance and retreat strategy and clonal mechanism for global numerical optimization. IEEE Congress on Evolutionary Computation 2008: 2059-2066

Ying Tan, Qinru Qiu: A Framework of Stochastic Power Management Using Hidden Markov Model. DATE 2008: 92-97

Junqi Zhang, Kun Liu, Ying Tan, Xingui He: Allocation of local and global search capabilities of particle in canonical PSO. GECCO 2008: 165-166

Junqi Zhang, Kun Liu, Ying Tan, Xingui He: Magnifier particle swarm optimization for numerical optimization. GECCO 2008: 167-168

Jian Yang, Xi Huang, Ying Tan, Xingui He: Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine. IJCNN 2008: 2227-2234

Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds.): Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5263, Springer 2008, isbn 978-3-540-87731-8

Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds.): Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5264, Springer 2008, isbn 978-3-540-87733-2

Jian-Xin Xu, Ying Tan: Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks. IEEE Transactions on Neural Networks 18(1): 115-127 (2007)

Qinru Qiu, Ying Tan, Qing Wu: Stochastic modeling and optimization for robust power management in a partially observable system. DATE 2007: 779-784

Parth Malani, Ying Tan, Qinru Qiu: Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding. ICME 2007: 715-718

Xingjuan Cai, Jianchao Zeng, Zhihua Cui, Ying Tan: Particle Swarm Optimization Using Lévy Probability Distribution. ISICA 2007: 353-361

Ying Tan: Neural-Based Separating Method for Nonlinear Mixtures. ISNN (3) 2007: 705-714

Xingjuan Cai, Zhihua Cui, Jianchao Zeng, Ying Tan: Perceptive Particle Swarm Optimization: A New Learning Method from Birds Seeking. IWANN 2007: 1130-1137

Jing Hu, Jianchao Zeng, Ying Tan: A Diversity-Guided Particle Swarm Optimizer for Dynamic Environments. LSMS (1) 2007: 239-247

Ying Tan, Dragan Nesic, Iven M. Y. Mareels: On non-local stability properties of extremum seeking control. Automatica 42(6): 889-903 (2006)

Ying Tan, Parth Malani, Qinru Qiu, Qing Wu: Workload prediction and dynamic voltage scaling for MPEG decoding. ASP-DAC 2006: 911-916

Lunwen Wang, Yanhua Wu, Ying Tan, Ling Zhang: A Modified Constructive Fuzzy Neural Networks for Classification of Large-Scale and Complicated Data. ISNN (2) 2006: 14-19

Ying Tan: Multiple-Point Bit Mutation Method of Detector Generation for SNSD Model. ISNN (2) 2006: 340-345

Yurong Chen, Ying Tan, Yimin Zhang, Carole Dulong: Performance Analysis of Two Parallel Game-Tree Search Applications. PARA 2006: 1105-1114

Wenjian Luo, Xin Wang, Ying Tan, Xufa Wang: A Novel Negative Selection Algorithm with an Array of Partial Matching Lengths for Each Detector. PPSN 2006: 112-121

Ying Tan, Scott Leyonhjem, Mike Faulkner: Timing Synchronisation for OFDM-WLANs with Time Averaging Scheme. VTC Spring 2006: 1942-1946

Wenjian Luo, Xin Wang, Ying Tan, Yiguo Zhang, Xufa Wang: An Adaptive Self-tolerant Algorithm for Hardware Immune System. ICES 2005: 1-11

Min Zhang, Ying Tan: Efficient Time Series Matching Based on HMTS Algorithm. ICNC (2) 2005: 476-482

FuHua Fan, Ying Tan: A Fast Searching Algorithm of Symmetrical Period Modulation Pattern Based on Accumulative Transformation Technique. ICNC (2) 2005: 493-500

Lunwen Wang, Ying Tan, Ling Zhang: A Granular Analysis Method in Signal Processing. ICNC (2) 2005: 501-507

Ying Tan, Zhenhe Guo: Algorithms of Non-self Detector by Negative Selection Principle in Artificial Immune System. ICNC (2) 2005: 867-875

Lunwen Wang, Ying Tan, Ling Zhang: Constructive Fuzzy Neural Networks and Its Application. ISNN (1) 2005: 440-445

Ying Tan: A Unified Framework for Synthesis of Cosine-Modulated Filter Banks and Corresponding Wavelets. ISNN (2) 2005: 574-579

Jian-Xin Xu, Ying Tan, Tong Heng Lee: Iterative learning control design based on composite energy function with input saturation. Automatica 40(8): 1371-1377 (2004)

Ying Tan, Jun Wang: A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension. IEEE Trans. Knowl. Data Eng. 16(4): 385-395 (2004)

Zhenhe Guo, Zhengkai Liu, Ying Tan: An NN-Based Malicious Executables Detection Algorithm Based on Immune Principles. ISNN (2) 2004: 675-680

Jian-Xin Xu, Ying Tan: Authors' reply [to comments on "A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties"]. IEEE Trans. Automat. Contr. 48(9): 1672-1674 (2003)

Jian-Xin Xu, Ying Tan: On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors. Automatica 38(7): 1237-1242 (2002)

Jian-Xin Xu, Ying Tan: Robust optimal design and convergence properties analysis of iterative learning control approaches. Automatica 38(11): 1867-1880 (2002)

Jian-Xin Xu, Ying Tan: A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties. IEEE Trans. Automat. Contr. 47(11): 1940-1945 (2002)

Ying Tan: A Neural Network Approach for Signal Detection in Digital Communications. VLSI Signal Processing 32(1-2): 45-54 (2002)

Guillaume Lebrun, Ying Tan, Michael Faulkner: MIMO transmission over a time-varying channel using SVD. GLOBECOM 2002: 414-418

Ying Tan, Jun Wang: Nonlinear blind source separation using higher order statistics and a genetic algorithm. IEEE Trans. Evolutionary Computation 5(6): 600-612 (2001)

Ying Tan, Jun Wang, Jacek M. Zurada: Nonlinear blind source separation using a radial basis function network. IEEE Transactions on Neural Networks 12(1): 124-134 (2001)

Ying Tan, Chao Deng: Solving for a quadratic programming with a quadratic constraint based on a neural network frame. Neurocomputing 30(1-4): 117-128 (2000)

Ying Tan, Youshen Xia, Jun Wang: Neural Network Realization of Support Vector Methods for Pattern Classification. IJCNN (6) 2000: 411-418

Ying Tan, Zhenya He: Arbitrary FIR Filter Synthesis Using a Neural Network. Neural Processing Letters 8(1): 9-13 (1998)

Ying Tan, Xiqi Gao, Zhenya He: Neural networks design approach for cosine-modulated FIR filter banks and compactly supported wavelets with almost PR property. Signal Processing 69(1): 29-48 (1998)