DSPs

Learning OpenCV: Computer Vision with the OpenCV Library

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK. OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications. The book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Shape matching Pattern recognition, including face detection Segmenting images Tracking and motion in 2 and 3 dimensions Machine learning algorithms

Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license. Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started onbuilding computer vision applications of your own.

Designing Embedded Hardware

Embedded computer systems literally surround us: they're in our cell phones, PDAs, cars, TVs, refrigerators, heating systems, and more. In fact, embedded systems are one of the most rapidly growing segments of the computer industry today.

Along with the growing list of devices for which embedded computer systems are appropriate, interest is growing among programmers, hobbyists, and engineers of all types in how to design and build devices of their own. Furthermore, the knowledge offered by this book into the fundamentals of these computer systems can benefit anyone who has to evaluate and apply the systems.

The second edition of "Designing Embedded Hardware" has been updated to include information on the latest generation of processors and microcontrollers, including the new MAXQ processor. If you're new to this and don't know what a MAXQ is, don't worry--the book spells out the basics of embedded design for beginners while providing material useful for advanced systems designers.

"Designing Embedded Hardware" steers a course between those books dedicated to writing code for particular microprocessors, and those that stress the philosophy of embedded system design without providing any practical information. Having designed 40 embedded computer systems of his own, author John Catsoulis brings a wealth of real-world experience to show readers how to design and create entirely new embedded devices and computerized gadgets, as well as how to customize and extend off-the-shelf systems.

Loaded with real examples, this book also provides a roadmap to the pitfalls and traps to avoid. "Designing Embedded Hardware" includes:

The theory and practice of embedded systems

Understanding schematics and data sheets

Powering an embedded system

Producing and debugging an embedded system

Processors such as the PIC, Atmel AVR, and Motorola 68000-series

Digital Signal Processing (DSP) architectures

Protocols (SPI and I2C) used to add peripherals

RS-232C, RS-422, infrared communication, and USB

CAN and Ethernet networking

Pulse Width Monitoring and motor control

If you want to build your own embedded system, or tweak an existing one, this invaluable book gives you the understanding and practical skills you need.

Intelligent Sensor Design Using the Microchip dsPIC (Embedded Technology)

Intelligent seonsors are revolutionizing the world of system design in everything from sports cars to assembly lines. These new sensors have abilities that leave their predecessors in the dust! They not only measure parameters efficiently and precisely, but they also have the ability to enhance and interupt those measurements, thereby transformng raw data into truly useful information.

Unlike many embedded systems books that confine themselves strictly to firmware and software, this book also delves into the supporting electronic hardware, providing the reader with a complete understanding of the issues involved when interfacing to specific types of sensor and offering insight into the real-world problems designers will face. Meaningful software examples are implemented in both C and assembly language, and the source code is included on the accompanying CD. The examples provide a complete, easily extensible code framework for sensor-based applications as well as basic support routines that are often ignored or treated superficially. The goal throughout is to make readers truly productive as quickly as possible while providing the thorough understanding necessary to design robust systems.

Readers will gain in-depth, real-world design information that will help them be more productive and get up to speed on sensor design skills more quickly. The book provides designers and students a leg up in a relatively new design area, imparting knowledge about a new microcontroller that offers some of the functionality of a DSP chip.

· Quickly teaches the reader to design the new wave in sensor technology, "intelligent" sensors

· In-depth design techniques, real-world examples, detailed figures and usable code

· Application chapters thoroughly exploring temperature, pressure and load, and flow sensors

· A FREE CD that provides a toolkit of software models in both C and assembly language

DSP Filter Cookbook (Electronics Cookbook Series)

Digital filters and real-time processing of digital signals have traditionally been beyond the reach of most, due partially to hardware cost as well as complexity of design. In recent years, low-cost digital signal processor (DSP) development boards have put this within reach. This book will break down this design complexity barrier by means of simplified tutorials, step-by-step instructions, along with a collection of audio projects. Design formulas are presented to build the digital equivalent of standard audio filters: lowpass, highpass, and bandpass.

Analog & Digital Signal Processing

Analog & Digital Signal Processing: A Computational Approach provides a thorough yet mathematically accessible introduction to signal processing. With the increasing presence of digital signal processing (DSP) in everyday life, in the form of devices such as CD and DVD players, digital cameras, wireless telephones, and voice recognition, it has accordingly become a central element in the design of a variety of systems and applications. This book responds to this trend by presenting readers with a strong foundation of fundamental DSP concepts and designs. Unlike traditional DSP books, a computational approach is used to help readers spend less time deciphering mathematical complexities and more time implementing practical DSP techniques. MATLAB, an industry favorite scientific software package, is used to conduct the computations of the concepts discussed. With coverage of introductory concepts such as sampling, frequency analysis, transfer functions, and filter design, as well as advanced topics like statistical signal processing, adaptive filters, image processing, and wavelet analysis, this is an ideal resource for readers of all levels who are seeking a comprehensive understanding of relevant DSP concepts for today's industry professionals.

Active Noise Control Systems: Algorithms and DSP Implementations (Wiley Series in Telecommunications and Signal Processing)

Active noise control (ANC) is rapidly becoming the most effective way to reduce noises that can otherwise be very difficult and expensive to control. ANC is achieved by introducing a canceling "anti-noise" wave through an appropriate array of secondary sources. When applied accurately, ANC can provide effective solutions to noise-related problems in a broad range of areas, including manufacturing and industrial operations as well as consumer products. Consequently, ANC research and development has become an important focus of both industrial applications and engineering research.

Active Noise Control Systems: Algorithms and DSP Implementations introduces the basic concepts of ANC with an emphasis on digital signal processing (DSP) hardware and adaptive signal processing algorithms, both of which have come into prominence within the last decade. The authors emphasize the practical aspects of ANC systems by combining the principles of adaptive signal processing with both experimental results and practical implementation. Applications are cited in many fields and encompass all types of noise media, including air-acoustic, hydroacoustic, vibrations, and others. The specific implementation stressed is based on the TMS320 family of signal processors from Texas Instruments, which are the most widely used worldwide.

Coverage of theory includes concise derivations and analyses of commonly used adaptive structures and algorithms for active noise control applications, which are enhanced by the inclusion of a floppy disk featuring C and assembly programs for implementing many ANC systems. Mathematical representations are employed and the source code included on the disk is in a form that is easily accessible to anyone using the book.

For practicing engineers, researchers, and advanced students in signal processing, Active Noise Control Systems: Algorithms and DSP Implementations will serve as a comprehensive, state-of-the-art text/reference on this important and rapidly developing field.

The recent development of digital signal processing (DSP) hardware and adaptive signal processing algorithms has resulted in a dynamic new way of achieving active noise control (ANC). To meet the need for a definitive text on both the basic theory and practical applications of these new ANC techniques, Sen M. Kuo and Dennis R. Morgan have written an invaluable, highly accessible book for researchers, engineers, and advanced students in signal processing.

A state-of-the-art presentation of ANC from innovators in the field

Thorough coverage of the theoretical principles behind ANC techniques with rational and consistent notation

Numerous illustrations for easy interpretation of complex algorithms

Unique emphasis on the practical applications of ANC systems from the viewpoint of signal processing and DSP implementation within the framework of ANC systems

Accompanying software that can be used to implement many ANC systems discussed in the text

Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification

Join author John Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters.

After reading Ending Spam, you'll have a complete understanding of the mathematical approaches used by today's spam filters as well as decoding, tokenization, various algorithms (including Bayesian analysis and Markovian discrimination) and the benefits of using open-source solutions to end spam. Zdziarski interviewed creators of many of the best spam filters and has included their insights in this revealing examination of the anti-spam crusade.

If you're a programmer designing a new spam filter, a network admin implementing a spam-filtering solution, or just someone who's curious about how spam filters work and the tactics spammers use to evade them, Ending Spam will serve as an informative analysis of the war against spammers.

TOC Introduction

PART I: An Introduction to Spam Filtering Chapter 1: The History of Spam Chapter 2: Historical Approaches to Fighting Spam Chapter 3: Language Classification Concepts Chapter 4: Statistical Filtering Fundamentals

PART II: Fundamentals of Statistical Filtering Chapter 5: Decoding: Uncombobulating Messages Chapter 6: Tokenization: The Building Blocks of Spam Chapter 7: The Low-Down Dirty Tricks of Spammers Chapter 8: Data Storage for a Zillion Records Chapter 9: Scaling in Large Environments

PART III: Advanced Concepts of Statistical Filtering Chapter 10: Testing Theory Chapter 11: Concept Identification: Advanced Tokenization Chapter 12: Fifth-Order Markovian Discrimination Chapter 13: Intelligent Feature Set Reduction Chapter 14: Collaborative Algorithms

Appendix: Shining Examples of Filtering

Index

DSP-Based Testing of Analog and Mixed-Signal Circuits

Answers the commonly asked questions about how digital signal processing-based machines work and what role DSP plays in the process. It shows you how DSP performs in real-test situations and uses mathematical concepts rather than derivations. The text addresses difficult test problems and their solutions resulting from the union of automatic test equipment (ATE) and DSP. The author establishes a philosophy of DSP-based testing describing how to think, how to approach a problem, how to create a solution, and how to determine if it really works properly.

Mixed-signal and DSP Design Techniques (Analog Devices)

The reader is provided with information on how to choose between the techniques and how to design a system that takes advantage of the best features of each of them. Imminently practical in approach, the book covers sampled data systems, choosing A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, selecting DSP hardware, interfacing to DSP chips, and hardware design techniques. It contains a number of application designs with thorough explanations. Heavily illustrated, the book contains all the design reference information that engineers need when developing mixed and digital signal processing systems.

*Brought to you from the experts at Analog Devices, Inc.
*A must for any electrical, electronics or mechanical engineer's reference shelf
*Design-oriented, practical volume

Communications Receivers: DPS, Software Radios, and Design, 3rd Edition

The latest in DSP, cellular, and software radio design

From reception basics to cutting-edge software radio design, Communications Receivers, Third Edition brings you a storehouse of task-simplifying and task-clarifying information, examples, and tips. Written by well-known experts Ulrich Rohde, Jerry Whitaker, and Andrew Bateman, this guide covers everything from front end systems to frequency generators and controllers. Topics are thoroughly illuminated for you with hundreds of illustrations, diagrams, and mathematical equations.

You’ll learn the principles and practices involved in receivers and receiver systems, antennas and antenna coupling, amplifiers and gain control, mixers, frequency, oscillators, demodulation and demodulators, digital signal processing, and much more. Discover for yourself why this resource has been prized through two editions by professionals and hobbyists for its ready-to-use insights on the theory and design of all types of communications receivers -- including shortwave, military, broadcast, and direction-finding.

This newly revised edition features:
Advances in DSP, cellular, and software radio design
Details on designing, operating, specifying, installing, and maintaining every kind of receiver in common use
Specific design approaches, circuit examples, and component specs
Help with microprocessors and logic devices
Coverage of important pulse and data operating modes
More than 250 illustrations and diagrams
Handy reference material in tables, charts, and figures
More!