Random Linear Network Coding (RLNC) currently attracts a lot of attention as a technique to disseminate information in a network. In this contribution, non-coherent multi-shot RLNC is considered, that ...

A number of standard univariate distributions can be represented as mixtures of other standard distributions. In this paper such mixture representations are exploited to generate families of ...

Artificial intelligence (AI) has recently gained rapid development in academy and industry due to intense research of deep convolutional neural network (CNN) with a multilayer architecture. In each ...

In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...

Hardware Convolution Encoding The stream of input bits are shifted into the shift register 3 bits at a time. At each of these shifts the input bits and the XOR gate output bits are put in the output ...