A design of adaptive neural filter banks with filter neuron

In this study, we propose that the new filter bank that is an adaptive filter bank using neural networks in time domain. Also, we propose a filter neuron as band pass filter (BPF) with hamming window, the structure and algorithm for filter banks. The performance of neural filter banks is shown from two examples. It shows its characteristics such as the simple structure and a higher speed processing compared to traditional methods (filter banks in frequency domain, etc.). In many applications, the proposed method will provide a higher performance to feature detection of signals in time domain