Abstract: In Digital Image Processing, the discrete linear convolution is used as a basis for linear filtering. In this paper, the multiplier operation involved in discrete linear convolution ...
Abstract: A fast linear convolution algorithm based on the Discrete Hirschman Transform (DHT) has been developed recently. It performs better than the traditional convolution based on the Discrete ...
This project involves an MNIST dataset classification model using a linear & convolution approach. The model is designed to recognize handwritten digits with high accuracy. With 3 convolution and 1 ...
Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...
Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and width (number of ...
A discrete-time signal is a sequence of numbers defined only at integer values of time. Addition combines two signals sample by sample. $y[n] = x_1[n] + x_2[n]$ Used ...
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