Learn IT - Books tags convolution

OpenCL Programming by Example

Packt Publishing, 2013

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.

Overview

Learn about all of the OpenCL Architecture and major APIs.

DIJK VAN:DISTRIBUTION THEORY GTB (De Gruyter Graduate Lectures)

De Gruyter, 2013

The theory of distributions has numerous applications and is extensively used in mathematics, physics and engineering. There is however relatively little elementary expository literature on distribution theory. This book is intended as an introduction. Starting with the elementary theory of distributions, it proceeds to convolution products...

Derived Langlands: Monomial Resolutions of Admissible Representations (Series on Number Theory and Its Applications)

World Scientific Publishing, 2019

The Langlands Programme is one of the most important areas in modern pure mathematics. The importance of this volume lies in its potential to recast many aspects of the programme in an entirely new context. For example, the morphisms in the monomial category of a locally p–adic Lie group have a distributional description, due...

Discrete and Continuous Fourier Transforms: Analysis, Applications and Fast Algorithms

CRC Press, 2008

Long employed in electrical engineering, the discrete Fourier transform (DFT) is now applied in a range of fields through the use of digital computers and fast Fourier transform (FFT) algorithms. But to correctly interpret DFT results, it is essential to understand the core and tools of Fourier analysis. Discrete and Continuous Fourier...

Digital Signal Processing

Technical Publications, 2009

Sampling - Discrete time processing of continuous-time signals, Continuous-time processing of discrete-time signals, Changing the sampling rate using discrete-time processing. Transform Analysis of LTI Systems - The frequency response of LTI systems, System functions for systems characterized by LCCD (Linear Constant Coefficient Difference)...

Digital Signal Processing: An Introduction with MATLAB and Applications

Springer, 2011

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis....

Digital Signal Processing Using MATLAB for Students and Researchers

John Wiley & Sons, 2011

I was once asked what signal processing is. The questioner thought it had something to do with traffi c lights. It became clear to me at that moment that although the theory and practice of signal processing in an engineering context has made possible the massive advances of recent times in everything from consumer electronics to...

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

Apress, 2017

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming...

Crowd Behavior Simulation of Pedestrians During Evacuation Process: DEM-Based Approach (SpringerBriefs in Applied Sciences and Technology)

Springer, 2018

This book introduces the use of the distinct element method (DEM) in modeling crowd behavior and simulating evacuation processes. Focusing on the mathematical computation of the uncertain behavior of evacuees, which is switching action behavior, it subsequently reproduces the crowd evacuation process under several conjectural...

Fundamentals of Signals and Systems (Electrical and Computer Engineering; Book & CD-ROM)

Da Vinci Engineering Press, 2005

This book is a self-contained introduction to the theory of signals and systems, which lies at the basis of many areas of electrical and computer engineering. In the seventy short lectures formatted to facilitate self-learning and to provide easy reference, the book covers such topics as linear time-invariant (LTI) systems, the Fourier transform,...

Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

CreateSpace Independent Publishing Platform, 2015

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We...

Think DSP: Digital Signal Processing in Python

O'Reilly, 2016

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone,...

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