Books: Applications of  Microcontrollers

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Microcontroller Architectures:

[ARM] [Atmel AVR] [Basic Stamp] [Freescale 68xx] [Intel 8051] [Microchip PIC] [MIPS] [Microcontroller Generic]


[Bluetooth] [CAN] [Embedded Internet] [Parallel Port, Serial Port, USB]

Programming Languages:
[Assembler] [Basic] [C & C++ Programming] [C for Microcontrollers] [Java, Forth, UML]


[Applications] [Embedded Operating Systems] [Chip Design] [Hardware Design] [Software & Firmware Development]


Analog Interfacing to Embedded Microprocessors

From Book News, Inc.
Addresses the technologies and methods used in connecting analog input and output devices to digital microprocessors for embedded applications. The author focuses on measurement and control of analog quantities in embedded systems that are required to interface with the real world, and provides practical control applications and opamp examples

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Microcontroller-Based Temperature Monitoring and Control

Engineers involved in the use of microcontrollers in measurement and control systems should find this book an essential practical guide, providing design principles and application case studies backed up with sufficient control theory and electronics to develop their own systems. It should also prove valuable for students and experimenters seeking real-world project work involving the use of a microcontroller. The author of this text uses his engineering experience to write a book based on real-world applications. A basic mathematical and engineering background is assumed, but the use of microcontrollers is introduced from first principles. The first part of the book covers temperature sensors and their use in measurement, and includes the latest non-invasive and digital control algorithms using a microcontroller. The final chapter describes a complete microcontroller-based temperature control systems, including full software listing for the programming of the controller. Techniques for the application of microcontroller-based control systems are backed up with the basic theory and mathematics used in these designs, and various digital control techniques are discussed with reference to digital sample theory.

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Programming for Embedded Systems Application Examples

Programming for Embedded Systems: Cracking the Code
(23 Embedded System Application Examples)

In this unique guide, a crack team of software engineers delivers the programming solutions and source code you need to jump-start a wide range of embedded systems projects. Using flow charts and line-by-line analysis of 23 professional-quality applications, they show you how to solve typical embedded Systems programming challenges–and create your own applications using a wide range of programming languages, operating systems, development platforms, and processors.
Take an In-Depth Look at 23 Embedded Systems Applications: Navigation system using a GPS receiver; Communications systems for protocol conversion and VoIP; Mobile data applications using BREW–MP3 player and salary survey; Real-time systems using RTLinux–printing, messaging and more; Windows CE database applications –salary survey and energy meter reading; Networked information appliances using the HP Chai Appliance Platform–CRM, location-based services and more; Mobile Java appliances–electronic city guide, Jini appliance control, ACRemote application; Windows XP embedded applications –air conditioner remote control, audio player remote control, typing speed indicator, database application, electronic voting.
The CD-ROM features: Professional-quality embedded systems applications, with over 7,800 lines of source code; Java 2 Software Development Kit, Standard Edition version 1.4 for Windows; Forte for Java, release 3.0, Community Edition; and Java 2 Platform, Micro Edition, Wireless Toolkit 1.0.3.

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The Microcontroller Idea Book

PC Magazine, 5/28/96
....The real gold in the book is the collection of input/output circuits that show you how to connect to the outside world and have it all work properly. The writing is a model of clarity and conciseness. Once you know how these things work, you can use them cookbook-style.

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Speech Recognition

Robust Speech Recognition in Embedded Systems

Robust Speech Recognition in Embedded Systems and PC Applications (Kluwer International Series in Engineering and Computer Science, 563)

Robust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. We distinguish between embedded systems and PC-based applications. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog and user interface technologies. Robust Speech Recognition in Embedded Systems and PC Applications is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown. The second chapter focuses on environment-independent/adaptive speech recognition approaches and on the mainstream methods applicable to noise robust speech recognition. The third chapter discusses several critical technologies that contribute to making an application usable. It also provides some design recommendations on how to design prompts, generate user feedback and develop speech user interfaces. The fourth chapter reviews several techniques that are particularly useful for embedded systems or to decrease computational complexity. It also presents some case studies for embedded applications and PC-based systems. Finally, the fifth chapter provides a future outlook for robust speech recognition, emphasizing the areas that the author sees as the most promising for the future. Robust Speech Recognition in Embedded Systems and PC Applications serves as a valuable reference and although not intended as a formal University textbook, contains some material that can be used for a course at the graduate or undergraduate level. It is a good complement for the book entitled "Robustness in Automatic Speech Recognition: Fundamentals and Applications" co-authored by the same author.

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Discrete-Time Processing of Speech Signals

Discrete-Time Processing of Speech Signals

Electrical Engineering Discrete-Time Processing of Speech Signals Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing—from speech coding for communications systems to biomedical applications of speech analysis and recognition. Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

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