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A Study on Adaptive Filter Bank using Neural Networks in Time Domain  

이건기 (경상대학교 전자공학과)
이주원 (경상대학교 전자공학과)
김광열 (마산대학 자동차학과)
방만식 (진주국제대학교 전자통신공학과)
이병로 (진주산업대학교 전자공학과)
김영일 (경상대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.4, 2003 , pp. 673-677 More about this Journal
Abstract
In this study, we propose the new filter bank that is adaptive filter bank using neural networks in time domain. Also, we proposed a new filter neuron as neuron with filter window, the structure and algorithm for filter banks. The performance of neural filter banks is shown from two examples. It show characteristics the simple structure and higher speed processing than traditional methods (filter banks in frequency domain, etc.). In many applications, the proposed method will provide the high performance to features detection of signals in time domain.
Keywords
Adaptive Neural Filter Bank; Filter Neuron; Hamming Window;
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  • Reference
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