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Generate random bits, convert to bipolar, corrupt the message by passing through noise and decode using hard decision decoding and calculate BER

Specification File adjacencyListGragh class GeneralGraph: use adjacency list to implement the graph which data structure is vector Construct methods: * public GeneralGraph(): contain an empty vector store the vertex and a boolean determines whether graph is directed or not, defaulted is undirecte ...

As a programming language, C is rather like Pascal or Fortran.. Values are stored in variables. Programs are structured by defining and calling functions. Program flow is controlled using loops, if statements and function calls. Input and output can be directed to the terminal or to files. Related d ...

I would like to thank my advisor, Dr. A. Lynn Abbott, for helping me throughout my research, Gary Fleming and the rest of the people at NASA Langley who provided all the flight information and image sequences, and my parents who supported me in my decision to enter graduate study. Also, thanks to Ph ...

Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be ...

Long-TermEvolution(LTE)isarguablyoneofthemostimportantstepsinthecurrentphaseof the development of modern mobile communications. It provides a suitable base for enhanced services due to increased data throughput and lower latency figures, and also gives extra impetus to the modernization of telecom a ...

This book is the result of works dedicated to specific applications of metaheuristics in smart electrical grids. From electric transmission, distribution networks to electric microgrids, the notion of intelligence refers to the ability to propose acceptable solutions in an increasingly more restrict ...

General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradi ...

Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of ...