The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution: ...

In this project CNN is trained using MNIST dataset and Keras APIs. After the training model has been saved and loaded again to do prediction on the samples images present in the Images folder.

Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...

The receptive field is defined as the region in the input space that a particular CNN’s feature is looking at (i.e. be affected by). For convolutional neural network, the number of output features in ...

I’ll discuss them with respect to RS code but they can be used with all FEC codes, including mixing types of FEC code. Interleaving is simply taking a number of messages and mixing the bytes, in a ...

Abstract: Polar codes have been shown to approach capacity of symmetric binary erasure channels. This paper investigates the performance of polar codes over typical urban fading wireless channels. The ...

Abstract: Both efficient utilization of network resources and providing Qualities of Service (QoS) are dependent on channel quality parameters. In particular, QoS is a challenging issue since radio ...