A new architecture for analog sampled-data neural filters

Author

Sedighi, Behnam ; Analui, Behnam ; Sharif-Bakhtiar, Mehrdad

Author_Institution

Sharif Univ. of Technol., Tehran, Iran

fYear

2005

fDate

23-26 May 2005

Firstpage

2494

Abstract

A new architecture for analog sampled-data filters is presented. This architecture is based on implementing the difference equation of the filter using a neural network. It results in lower sensitivity of filter coefficients to hardware nonidealities. Different tradeoffs in the hardware implementation of the filter are discussed. A design example is also presented.

Keywords

Butterworth filters; FIR filters; IIR filters; band-pass filters; neural nets; sampled data filters; switched capacitor filters; FIR filter; IIR sampled-data filter; analog sampled-data neural filters; filter difference equation; linear neural filters; neural networks; second-order band-pass Butterworth filter; switched-capacitor filters; switched-current filters; Circuit optimization; Difference equations; Dynamic range; Electrical engineering; Frequency domain analysis; Hardware; IIR filters; Neural networks; Nonlinear filters; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1465132

Filename

1465132

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3545162