Project: Simulating video transmission using Convolutional codes and MATLAB, with teams comparing different codes and preparing a report and code. Objective: Simulate video transmission through a ...
Including ASK, BPSK mudulation & demodulation, AWGN channel and corresponding noise. Convenient visual information: BER average convergence monitoring, BER result matrix printing and final result ...
This chapter implements the encoding and decoding algorithms of convolutional codes. It discusses the simulation of the bit error rate (BER) of convolution codes. The ...
ABSTRACT: Machine learning is an integral technology many people utilize in all areas of human life. It is pervasive in modern living worldwide, and has multiple usages. One application is image ...
Introduction: A Pre-trained deep neural network named "DnCNN" for image denoising is available with MATLAB Deep Learning Toolbox. This network is trained with natural images (such as images of tree, ...
Convolutional neural networks (CNNs) are inspired by processes occurring in the brain region that receive, integrate and process visual information transmitted from the retinas of human eyes. The ...