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Making Embedded Systems: Design Patterns for Great Software

Making Embedded Systems: Design Patterns for Great Software

Making Embedded Systems: Design Patterns for Great Software
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Making Embedded Systems: Design Patterns for Great Software Paperback - 2024

by White, Elecia

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Oreilly & Associates Inc, 2024. Paperback. New. 2nd edition. 340 pages. 9.19x7.00x0.87 inches.
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Details

  • Title Making Embedded Systems: Design Patterns for Great Software
  • Author White, Elecia
  • Binding Paperback
  • Condition New
  • Pages 425
  • Volumes 1
  • Language ENG
  • Publisher Oreilly & Associates Inc
  • Publication date 2024
  • Illustrated Yes
  • Features Illustrated, Index
  • Bookseller's Inventory # x-1098151542
  • ISBN 9781098151546 / 1098151542
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 9.19 x 7 x 0.87 in (23.34 x 17.78 x 2.21 cm)
  • Category Computers - General Information
  • Library of Congress subjects Embedded computer systems - Programming, Embedded computer systems - Design
  • Dewey Decimal Code 006.22
  • Quantity available 2

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From the publisher

Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming. You'll learn how to build system architecture for processors, not for operating systems, and you'll discover techniques for dealing with hardware difficulties, changing designs, and manufacturing requirements.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

  • Optimize your system to reduce cost and increase performance
  • Develop an architecture that makes your software robust in resource-constrained environments
  • Explore sensors, displays, motors, and other I/O devices
  • Reduce RAM and power consumption, code space, and processor cycles
  • Learn how to interpret schematics, datasheets, and power requirements
  • Discover how to implement complex mathematics and machine learning on small processors
  • Design effective embedded systems for IoT and networked sensors

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