Modified Oja-RLS algorithm—Stochastic convergence analysis and application for image compression

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/bfb0095127 ◽

1999 ◽

pp. 402-410 ◽

Cited By ~ 1

Author(s):

Władysław Skarbek ◽

Adam Pietrowcew ◽

Radosław Sikora

Keyword(s):

Image Compression ◽

Convergence Analysis ◽

Stochastic Convergence ◽

Rls Algorithm

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The Modified Oja-RLS Algorithm, Stochastic Convergence Analysis and Application for Image Compression

Fundamenta Informaticae ◽

10.3233/fi-1998-3644 ◽

1998 ◽

Vol 36 (4) ◽

pp. 345-365 ◽

Cited By ~ 2

Author(s):

Władysław Skarbek ◽

Adam Pietrowcew ◽

Radosław Sikora

Keyword(s):

Image Compression ◽

Convergence Analysis ◽

Stochastic Convergence ◽

Rls Algorithm

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A stochastic convergence analysis for Tikhonov regularization with sparsity constraints

Inverse Problems ◽

10.1088/0266-5611/30/5/055009 ◽

2014 ◽

Vol 30 (5) ◽

pp. 055009 ◽

Cited By ~ 7

Author(s):

Daniel Gerth ◽

Ronny Ramlau

Keyword(s):

Convergence Analysis ◽

Tikhonov Regularization ◽

Stochastic Convergence ◽

Sparsity Constraints

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Stochastic convergence analysis of cubature Kalman filter with intermittent observations

Journal of Systems Engineering and Electronics ◽

10.21629/jsee.2018.04.17 ◽

2018 ◽

Vol 29 (4) ◽

pp. 823

Keyword(s):

Kalman Filter ◽

Convergence Analysis ◽

Stochastic Convergence ◽

Cubature Kalman Filter

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Stochastic convergence analysis of the single-layer backpropagation algorithm for noisy input data

IEEE Transactions on Signal Processing ◽

10.1109/78.502354 ◽

1996 ◽

Vol 44 (5) ◽

pp. 1315-1319 ◽

Cited By ~ 4

Author(s):

N.J. Bershad ◽

N. Cubaud ◽

J.J. Shynk

Keyword(s):

Convergence Analysis ◽

Input Data ◽

Single Layer ◽

Stochastic Convergence ◽

Backpropagation Algorithm ◽

Noisy Input

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Stochastic convergence analysis of a two-layer perceptron for a system identification model

1995 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1995.479770 ◽

2002 ◽

Cited By ~ 1

Author(s):

J.L. Vaughn ◽

N.J. Bershad

Keyword(s):

System Identification ◽

Convergence Analysis ◽

Stochastic Convergence ◽

Identification Model

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A stochastic convergence analysis of random number generators as applied to error propagation using Monte Carlo method and unscented transformation technique

2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) ◽

10.1109/spices.2017.8091351 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sangeetha Prasanna Ram ◽

S. Ganesan ◽

Jayalekshmi Nair

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Convergence Analysis ◽

Error Propagation ◽

Random Number ◽

Stochastic Convergence ◽

Transformation Technique ◽

Unscented Transformation ◽

Random Number Generators

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Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm

Information Processing Letters ◽

10.1016/j.ipl.2006.10.005 ◽

2007 ◽

Vol 102 (1) ◽

pp. 8-16 ◽

Cited By ~ 294

Author(s):

M. Jiang ◽

Y.P. Luo ◽

S.Y. Yang

Keyword(s):

Particle Swarm Optimization ◽

Convergence Analysis ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Parameter Selection ◽

Stochastic Convergence ◽

Swarm Optimization ◽

Standard Particle Swarm Optimization ◽

Selection Of

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Comparative Stochastic Convergence Analysis of Seven Recursive Parameter Estimation Methods

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)63052-0 ◽

1982 ◽

Vol 15 (4) ◽

pp. 579-584

Author(s):

D. Matko ◽

R. Schumann

Keyword(s):

Parameter Estimation ◽

Convergence Analysis ◽

Estimation Methods ◽

Stochastic Convergence ◽

Recursive Parameter Estimation ◽

Parameter Estimation Methods

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Stochastic convergence analysis of a two-layer perceptron for a system identification model

[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers ◽

10.1109/acssc.1991.186443 ◽

2002 ◽

Cited By ~ 1

Author(s):

N.J. Bershad ◽

C.F.N. Cowan ◽

J.J. Shynk

Keyword(s):

System Identification ◽

Convergence Analysis ◽

Stochastic Convergence ◽

Identification Model

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Stochastic Convergence Analysis of Metaheuristic Optimisation Techniques

Towards Advanced Data Analysis by Combining Soft Computing and Statistics - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-642-30278-7_27 ◽

2013 ◽

pp. 343-357

Author(s):

Nikos S. Thomaidis ◽

Vassilios Vassiliadis

Keyword(s):

Convergence Analysis ◽

Stochastic Convergence ◽

Optimisation Techniques

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