Harmonic signals in multiplicative noise: Estimation using genetic algorithms
The paper presents a novel approach to estimate harmonics in multiplicative and additive noise using a Genetic Algorithm (GA). The estimation of parameters is formulated as a nonlinear optimization problem and simulations are carried out to assess the performance of the proposed GA-based harmonics estimation.
harmonics multiplicative noise genetic algorithms parameter estimation