EDN

FFT convolution and the overlap-add method

This article presents two important DSP techniques, the overlap-add method, and FFT convolution. The overlap-add method is used to break long signals into smaller segments for easier processing. FFT ...
IEEE

Lenet-5 Convolution Neural Network with Mish Activation Function and Fixed Memory Step Gradient Descent Method

Abstract: Convolutional neural network is the most important algorithm in the field of deep learning. The traditional convolution neural network usually uses Sigmoid or Relu as the activation function ...
JSTOR Daily

Uniform Error Estimates of Operational Quadrature Methods for Nonlinear Convolution Equations on the Half-Line

Mathematics of Computation, Vol. 56, No. 193 (Jan., 1991), pp. 149-176 (28 pages) We study uniform error estimates of operational quadrature methods for nonlinear ...
IEEE

Research on Enhancement Method of Track Defect Sample Based on Deep Convolution Generative Adversarial Network

Abstract: The scarcity of rail surface defect samples is the main factor that affects the direct application of deep learning methods to rail surface defect recognition. This paper proposes a method ...