WO WO2026120620A1
The present invention generally relates to digital filters, more particularly, deep oscillatory neural network based band pass filters. The band pass filter comprises a first layer of neurons configured to process an input signal with a wide range of frequency components to amplify the essential signal components of the input signal. Further, a second layer of neural oscillators arranged in successive layers to the first layer, The each of the neural oscillators have a central frequency, and each of the neural oscillators is configured to achieve resonance within a narrow frequency range around the central frequency when the input signal is supplied to the second layer to extract Fourier coefficient representations of the input signal. Finally, a third layer is configured to generate a band pass signal by applying nonlinear activation functions pointwise in time to outputs of the second layer. The band pass signal is generated by combining the outputs of the neural oscillators of the second layer which achieves resonance upon applying the input signal.
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