Learn IT - Books tags processing

Professional Hadoop Solutions

Wrox Press, 2013

The go-to guidebook for deploying Big Data solutions with Hadoop

Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with...

The Variational Bayes Method in Signal Processing

Springer, 2005

This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...

Computational Vision and Medical Image Processing: Recent Trends

Springer, 2010

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Introduction to Embedded Systems: Using ANSI C and the Arduino Development Environment (Synthesis Lectures on Digital Circuits and Systems)

Morgan and Claypool Publishers, 2010

Many electrical and computer engineering projects involve some kind of embedded system in which a microcontroller sits at the center as the primary source of control.

The recently-developed Arduino development platform includes an inexpensive hardware development board hosting an eight-bit ATMEL ATmega-family processor...

Learning the bash Shell, 3rd Edition

O'Reilly, 2005

This refreshed edition serves as the most valuable guide yet to the bash shell. It's full of practical examples of shell commands and programs guaranteed to make everyday use of Linux that much easier. Includes information on key bindings, command line editing and processing, integrated programming features, signal handling, and much more!
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GPU-Based Techniques for Global Illumination Effects (Synthesis Lectures on Computer Graphics)

Morgan and Claypool Publishers, 2008

Real-time rendering poses severe computational requirements to computers. In order to maintain a continuous looking motion for the human eye, at least 20 images need to be generated in each second. An image consists of about a million pixels, which means that for a single pixel the visible point and its color should be computed in less than 50 ns...

Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing

John Wiley & Sons, 2008

A thorough guide to the classical and contemporary mathematical methods of modern signal and image processing

Discrete Fourier Analysis and Wavelets presents a thorough introduction to the mathematical foundations of signal and image processing. Key concepts and applications are addressed in a thought-provoking...

Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013

Apress, 2015

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven...

Signal Processing for Remote Sensing

CRC Press, 2007

Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal...

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

O'Reilly, 2015

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Packt Publishing, 2018

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

Build deep learning models with transfer learning principles in Python

implement transfer learning to solve real-world research...

Spatial Audio Processing: MPEG Surround and Other Applications

John Wiley & Sons, 2007

This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of...

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