Proposed method combines numerical differentiation and genetic algorithm. Fast computation of accurate results is done using only simple numerical operations, what may be regarded as a considerable advantage. Proposed method computes signal parameters effectively, even for very high noise levels. Proposed method is numerically stabile, because it utilizes multiplication, addition and generation of random numbers
In this paper, a new method for estimating the parameters of a digital communication channel, from o...
A common type of problem encountered in mathematics is optimizing nonlinear functions. Many popular ...
Considering parameter optimization tasks, a fundamental advantage of the genetic algorithm lies in i...
A genetic algorithm is used to estimate the parameters of sine and multiharmonic acquired waveforms....
The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the ...
This paper shows a simple way to recover the whole unknown parameters set of the Duffing's osci...
The main objective of this paper is to investigate efficiency and correctness of different real-code...
A genetic algorithm is used to design and optimise digital FIR filter coefficients. Given the desire...
Current online identification techniques are recursive and involve local search techniques. In this...
We introduce a novel genetic programming (GP) technique to evolve both the structure and parameters ...
This paper presents a Genetic Programming (GP) approach to synthesize estimators for the pointwise H...
This paper describes an application of the Learnable Evolution Model (LEM) to a digital signal filte...
A genetic algorithm is used to estimate the parameters of periodic signals in multiharmonic waveform...
This paper presents an evolutionary method for designing electronic circuits and numerical methods a...
Dans cette communication, nous présentons le problème de détection automatique d'ondes sur un enregi...
In this paper, a new method for estimating the parameters of a digital communication channel, from o...
A common type of problem encountered in mathematics is optimizing nonlinear functions. Many popular ...
Considering parameter optimization tasks, a fundamental advantage of the genetic algorithm lies in i...
A genetic algorithm is used to estimate the parameters of sine and multiharmonic acquired waveforms....
The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the ...
This paper shows a simple way to recover the whole unknown parameters set of the Duffing's osci...
The main objective of this paper is to investigate efficiency and correctness of different real-code...
A genetic algorithm is used to design and optimise digital FIR filter coefficients. Given the desire...
Current online identification techniques are recursive and involve local search techniques. In this...
We introduce a novel genetic programming (GP) technique to evolve both the structure and parameters ...
This paper presents a Genetic Programming (GP) approach to synthesize estimators for the pointwise H...
This paper describes an application of the Learnable Evolution Model (LEM) to a digital signal filte...
A genetic algorithm is used to estimate the parameters of periodic signals in multiharmonic waveform...
This paper presents an evolutionary method for designing electronic circuits and numerical methods a...
Dans cette communication, nous présentons le problème de détection automatique d'ondes sur un enregi...
In this paper, a new method for estimating the parameters of a digital communication channel, from o...
A common type of problem encountered in mathematics is optimizing nonlinear functions. Many popular ...
Considering parameter optimization tasks, a fundamental advantage of the genetic algorithm lies in i...