Title :
Design of FIR Digital Filters Using ADALINE Neural Network
Author :
Pachori, Khushboo ; Mishra, Amit
Author_Institution :
Jaypee Univ. of Eng. & Technol., Guna, India
Abstract :
This paper presents an approach for digital filter design based on single layer feed-forward (ADALINE) neural network. Here the concept of minimization of sum of the square errors between the amplitude response of the desired filter and the filter designed by neural network is used. A couple of examples are simulated and the result of design examples shows that the proposed neural network method is capable of achieving better performance for the filter design.
Keywords :
FIR filters; feedforward neural nets; mean square error methods; minimisation; neural chips; ADALINE neural network; FIR digital filter design; amplitude response; minimization; single layer feed-forward neural network; sum-of-the-square error; Algorithm design and analysis; Filtering algorithms; Finite impulse response filter; Neural networks; Signal processing algorithms; Vectors; ADALINE Neural networks; FIR filter; square error;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
DOI :
10.1109/CICN.2012.93
