Design and analysis of analog filters by statistical methods

Autor: Vitor Henrique Madureira Biajo, Flavio H. Vasconcelos, Carlos Andrey Maia, Fabiano Sanches Rocha, Hilton de Oliveira Mota
Rok vydání: 2018
Předmět:
Zdroj: I2MTC
DOI: 10.1109/i2mtc.2018.8409856
Popis: Analog filters are widely used in measurement systems to dissociate signal from noise. However, when designing these or other electronics whose components will be assembled in an industrial process, one should consider that resistors, capacitors, operational amplifiers and other discrete items may not arises on the circuit boards with their nominal values taken from the color code or other plain sources. Keeping this in mind, it is important to consider a range of component possible values produced by the manufacturing process, in order to evaluate the behavior of some electronic devices. In this work, the intention was to investigate circuits such as low-pass filters employing the Monte Carlo method in order to figure out the influence of component values, taken now by their expected values, coverage interval and other statistics obtained from the probability density function, over some important circuit parameters like gain, sensitivity, etc. The results indicate that passband, stopband and cutoff are influenced differently due to capacitor and resistor tolerance.
Databáze: OpenAIRE