The field of digital computer architecture has grown explosively in the past two decades.
Through a steady stream of experimental research, tool-building efforts, and theoretical
studies, the design of an instruction-set architecture, once considered an art, has been
transformed into one of the most quantitative branches of...
Beginning C++ is a tutorial for beginners in C++ and discusses a subset of C++ that is suitable for beginners. The language syntax corresponds to the C++14 standard. This book is environment neutral and does not presume any specific operating system or program development system. There is no assumption of prior programming...
Dart is the programming language developed by Google that offers a new level of simple versatility. Learn all the essentials of Dart web development in this brilliant tutorial that takes you from beginner to pro.
Welcome to MapReduce Design Patterns! This book will be unique in some ways and
familiar in others. First and foremost, this book is obviously about design patterns, which
are templates or general guides to solving problems. We took a look at other design
patterns books that have been written in the past as...
Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For...
Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services - just a willingness to learn the basics from this practical step-by-step tutorial.
Overview
Learn tools and techniques that let you approach big data with relish and not...
Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
Key Features
Get up and running with the Jupyter ecosystem and some example datasets
The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of...
Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along...
