How often do determinants over finite fields vanish?
Discrete Mathematics
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
Finite fields
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Fundamentals of Natural Computing (Chapman & Hall/Crc Computer and Information Sciences)
Fundamentals of Natural Computing (Chapman & Hall/Crc Computer and Information Sciences)
Robust Signal Processing for Wireless Communications No. 2
Robust Signal Processing for Wireless Communications No. 2
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Handbook of Blind Source Separation: Independent Component Analysis and Applications
Handbook of Blind Source Separation: Independent Component Analysis and Applications
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
A concentration-based artificial immune network for multi-objective optimization
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
ICA over finite fields-Separability and algorithms
Signal Processing
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Convergence analysis of canonical genetic algorithms
IEEE Transactions on Neural Networks
Independent Component Analysis Over Galois Fields of Prime Order
IEEE Transactions on Information Theory
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In this work, we present a novel bioinspired framework for performing ICA over finite (Galois) fields of prime order P. The proposal is based on a state-of-the-art immune-inspired algorithm, the cob-aiNet[C], which is employed to solve a combinatorial optimization problem - associated with a minimal entropy configuration - adopting a Michigan-like population structure. The simulation results reveal that the strategy is capable of reaching a performance similar to that of standard methods for lower-dimensional instances with the advantage of also handling scenarios with an elevated number of sources.