In this paper we analyse a simple model of a digital communications channel. This model proves to be closely related to an iterated function system (IFS) related to the well-known Bernoulli convolution. We derive it from a randomly forced first-order ordinary differential equation. This allows the parameter of the Bernoulli convolution—the contraction rate, λ—to be related to the rate at which ...

Real time transmission of data at high bit rates is one of the increasing demands today. This has inadvertently made data susceptible to noise resulting in impairment during transmission. In this paper, Orthogonal Codes have been developed and realized using Xilinx software for efficient digital communication for not only can they detect and correct errors but also do away with the requirement ...

In the recent decade, comprehensive research has been carried out in terms of promising biometrics modalities regarding humans’ physical features for person recognition. This work focuses on iris characteristics and traits identification liveness detection. study used five pre-trained networks, including VGG-16, Inceptionv3, Resnet50, Densenet121, EfficientNetB7, to recognize using transfer lea...

A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is generated and applied to all of the images in the labeled training set. The base classifiers are then learned using features extracted from these randomly transformed versions of the training data, and the result is a ...

The Radon transformations of generalized functions concentrated on lines and curves are deduced using a geometric approach and a limiting process. It is shown that any curve may be replaced by its tangents for the purposes of transformation and that each tangent will produce a maximum value in transform space which may be located using a one dimensional convolution filter. The locations of such...