Second-order Q and ω0 shifts in RC active filters having nonideal amplifiers

1982 ◽  
Vol 18 (9) ◽  
pp. 365 ◽  
Author(s):  
R. Moon ◽  
F.W. Stephenson
Keyword(s):  
Second Order ◽  
Active Filters

Design, Simulation And Theoretical Analysis Of Butterworth And Chebyshev Second Order Active Filters

2005 ◽  
Author(s):  
A. M. Swidan ◽  
S. M. El‐Ghanam ◽  
H. A. Ashry ◽  
F. A. S. Soliman ◽  
W. Abdel‐Basit
Keyword(s):  
Theoretical Analysis ◽  
Second Order ◽  
Active Filters

scholarly journals High-Frequency Sections of Active Filters of Mixed-Signal SoC Based on Current Amplifiers

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Sergei Krutchinsky ◽  
Nikolai Prokopenko
Keyword(s):  
High Frequency ◽  
Sufficient Conditions ◽  
Basic Structure ◽  
Second Order ◽  
Active Filters ◽  
Order Unit ◽  
Mixed Signal ◽  
Active Elements

The sufficient conditions for the efficient use of active elements are formulated by analyzing the basic structure of second-order unit. The expediency of current amplifiers usage in HF and SHF filters is shown. The examples of a methodical nature are given and conclusions of application importance are formulated.

scholarly journals Applying Genetic Algorithm to Optimization Second-Order Bandpass MGMFB Filter

2020 ◽  
Vol 28 (4) ◽  
Author(s):  
Maad Mohsin Mijwil ◽  
Rana Ali Abttan
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Optimization Methods ◽  
Second Order ◽  
Active Filters ◽  
Multi Objective Optimization ◽  
Complex Situation ◽  
Human Effort ◽  
True Values ◽  
Selection Of

In this paper, we have applied the genetic algorithm to the selection of the true values for RC (resistors/capacitors) as an essential role in the development of analogue active filters. The classic method of incorporating passive elements is a complex situation and can attend to errors. In order to reduce the frequency of errors and the human effort, evolutionary optimization methods are employed to select the RC values. In this study, Genetic algorithm (GA) is proposed to optimize the second-order active filter. It must find the values of the passive elements RC to get a filter configuration that reduces the sensitivities to variations as well as reduces design errors less than a defined height value, concerning certain specifications. The optimization problem which is one of the problems that must be solved by GA is a multi-objective optimization problem (MOOP). GA was carried out taking into account two possible situations about the values that resistors and capacitors could adopt. The obtained experimental results show that GA can be used to obtain filter configurations that meet the specified standard.

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