Researchers propose a novel framework that combines time and frequency domain filters for blind deconvolution.The framework consists of a time domain quadratic convolutional filter and a frequency domain linear filter.The time domain filter employs quadratic convolutional neural networks (QCNN) and an inverse QCNN layer for filtering and recovering the input signal.The frequency domain filter uses fast Fourier transform (FFT) and an objective function in the envelope spectrum (ES) for optimization.