Learn IT - Books tags experiments

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

Springer, 2008

The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and...

Complete Electronics Self-Teaching Guide with Projects

John Wiley & Sons, 2012

An all-in-one resource on everything electronics-related! For almost 30 years, this book has been a classic text for electronics enthusiasts. Now completely updated for today's technology, this latest version combines concepts, self-tests, and hands-on projects to offer you a completely repackaged and revised resource. This unique...

Exploring the Raspberry Pi 2 with C++

Apress, 2015

You have a Pi 2, but what exactly can you do with it? This book takes you on a tour of the Pi 2 hardware and all of the fantastic things that you can do to create innovative and useful projects with your Pi. Start with creating a workstation that does actual work, and move into installing a custom kernel, creating a clock, learning the ins...

Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics, 27)

Springer, 1995

This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from...

CHAOS: A Program Collection for the PC

Springer, 1998

"... The program devoted to the Julia and Mandelbrot sets is particularly exciting. Seeing the beautiful sets appearing on the screen, manipulating parameters oneself and observing the effects is infinitely more enlightening than viewing a picture in a book. ... Each chapter also provides a guide to ideas which the graduate student might wish...

OpenCV Computer Vision with Python

Packt Publishing, 2013

This book will show you how to use OpenCVs Python bindings to capture video, manipulate images, and track objects with either a normal webcam or a specialized depth sensor, such as the Microsoft Kinect. OpenCV is an open source, cross-platform libran' that provides building blocks for computer vision experiments and applications. It...

Quantum Optics (Oxford Graduate Texts)

Oxford University Press, 2008

Quantum optics, i.e. the interaction of individual photons with matter, began with the discoveries of Planck and Einstein, but in recent years, it has expanded beyond pure physics to become an important driving force for technological innovation. This book serves the broader readership growing out of this development by starting with an elementary...

An Introduction to Analog and Digital Communications

John Wiley & Sons, 2006

An introductory course on analog and digital communications is fundamental to the undergraduate program in electrical engineering. This course is usually offered at the junior level. Typically, it is assumed that the student has a background in calculus, electronics, signals and systems, and possibly probability theory.

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Kernel Learning Algorithms for Face Recognition

Springer, 2013

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included...

Fundamentals of Neural Networks

Prentice Hall, 1994

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

There has been a resurgence...

Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

Artech House Publishers, 2005

This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of...

Boundary Layer Theory

McGraw-Hill, 1979

"We find here a book where the theory is developed with rigours in parallel with a strong physical intuition. Comparison with experiments and simulations are always proposed and carefully analysed. The book contains at the end a very rich and complete bibliography … I warmly encourage everyone interested in boundary-layer theory to have...

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