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Audio Power Amplifier Design

Audio Power Amplifier Design

This is the essential book reference for amplifier designers. Douglas Self covers all the design issues of noise distortion power supply rejection protection reliability and layout. He describes advanced forms of compensation that give dramatically lower distortion. This edition is much expanded and packed with new information. It is a must-have for audio power amplifier professionals and audiophiles amateur constructors and anyone with intellectual curiosity about the struggle towards technical excellence. New to the sixth edition: The characteristics of the audio signal The principles of distortion Feedback intermodulation distortion Non-switching output stages VAS distortion explained Push-pull VAS configurations Output-inclusive compensation In addition five amplifier design examples that illustrate important design principles are examined and measured in detail. These can be straightforwardly adapted to specific requirements. This new edition also includes a wealth of material on the XD crossover-displacement principle (invented by the author and in use by Cambridge Audio) four-stage amplifier architectures error correction current-mirrors power transistors with internal sensing diodes amplifier bridging input-stage-common-mode distortion amplifier stability output stages with gain inrush current suppression DC servo design thermal protection cooling fan control advanced line input stages testing and safety infrared remote control signal activation 12V trigger control the history of solid-state amplifiers and much more. Simple procedures for heatsinking and power supply design are given. | Audio Power Amplifier Design

GBP 180.00
1

Scientific and Medical Knowledge Production 1796-1918 Experiment Expertise Experience

Molecular Modeling Basics

Molecular Modeling Basics

Molecular modeling is becoming an increasingly important part of chemical research and education as computers become faster and programs become easier to use. The results however have not become easier to understand. Addressing the need for a workshop-oriented book Molecular Modeling Basics provides the fundamental theory needed to understand not only what molecular modeling programs do but also the gist of research papers that describe molecular modeling results. Written in a succinct manner using informal language the book presents concise coverage of key concepts suitable for novices to the field. It begins by examining the potential energy surface (PES) which provides the connection between experimental data and molecular modeling. It explores ways to calculate energy by molecular and quantum mechanics. It describes molecular properties and the condensed phase and shows how to extract and interpret information from a program output. The author uses hands-on exercises to illustrate concepts and he supplements the text with a blog containing animated tutorials and interactive figures. Drawn from the author‘s own lecture notes from a class he taught for many years at the University of Iowa this volume introduces topics in such a way that beginners can clearly comprehend molecular modeling results. A perfect supplement to a molecular modeling textbook the book offers students the hands-on practice they need to grasp sophisticated concepts. In addition to his blog the author maintains a website describing his research and one detailing his seminars.

GBP 180.00
1

Introduction to Numerical Programming A Practical Guide for Scientists and Engineers Using Python and C/C++

Introduction to Numerical Programming A Practical Guide for Scientists and Engineers Using Python and C/C++

Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming most specifically emergent programming languages that reflect modern practice Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C plus plus utilizes the author‘s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical broad appeal this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering from elementary methods to complex algorithms it gradually incorporates algorithmic elements with increasing complexity. Develop a Combination of Theoretical Knowledge Efficient Analysis Skills and Code Design Know-How The book encourages algorithmic thinking which is essential to numerical analysis. Establishing the fundamental numerical methods application numerical behavior and graphical output needed to foster algorithmic reasoning coding dexterity and a scientific programming style it enables readers to successfully navigate relevant algorithms understand coding design and develop efficient programming skills. The book incorporates real code and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C plus plus followed by discussion of basic sorting and indexing methods as well as portable graphic functionality Contains methods for function evaluation solving algebraic and transcendental equations systems of linear algebraic equations ordinary differential equations and eigenvalue problems Addresses approximation of tabulated functions regression integration of one- | Introduction to Numerical Programming A Practical Guide for Scientists and Engineers Using Python and C/C++

GBP 180.00
1