Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation | Zendy

Leonardo Bruno de Sá | Zendy; A.C. Mesquita | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation

Author(s) -

Leonardo Bruno de Sá,

A.C. Mesquita

Publication year - 2008

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1389095.1389342

Subject(s) - adjacency matrix , infinite impulse response , adjacency list , passband , sensitivity (control systems) , coding (social sciences) , matrix representation , graph , computer science , linear phase , algorithm , finite impulse response , evolutionary computation , concatenation (mathematics) , mathematics , filter (signal processing) , digital filter , band pass filter , theoretical computer science , artificial intelligence , engineering , electronic engineering , combinatorics , physics , quantum mechanics , group (periodic table) , statistics , computer vision

An evolutionary synthesis method to design low-sensitivity IIR filters with linear phase in the passband is presented. The method uses a chromosome coding scheme based on the graph adjacency matrix. It is shown that the proposed chromosome representation enables to easily verify invalid individuals during the evolutionary process. The efficiency of the proposed algorithm is tested in the synthesis of a fourth-order linear phase elliptic lowpass digital filter.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research