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Master the Signal Processing Concepts and Techniques Needed to Design and Operate Any Wireless Communications Network.
Signal Processing for Wireless Communications offers communications engineers an application-focused guide to the essential concepts and techniques of wireless signal processing. This comprehensive reference examines the role that key algorithms and standard migration paths play in the design and day-to-day operations of today's state-of-the-art wireless networks.
Written by Dr. Joseph Boccuzzi, a leading signal processing expert with years of product development, research, and teaching experience, this on-target engineering tool takes readers step by step through major wireless topics…modulation theory…wireless multipath channel…modulation detection methods…performance improvement techniques…receiver digital signal processing…3G wideband CDMA…computer simulation estimation techniques…and 3G and beyond. Designed to bring engineers up to speed on the latest breakthroughs in signal processing technology, Signal Processing for Wireless Communications features:
Expert coverage of 3G wideband CDMA
Discussion of the role OFDM will play in future technologies
Complete information on the role of vital signal processing algorithms within the context of wireless applications
Discussions of advanced signal processing challenges in the mobile environment
Over 500 detailed illustrations
This text presents a comprehensive treatment of signal processing and linear systems suitable for juniors and seniors in electrical engineering. Based on B. P. Lathi's widely used book, Linear Systems and Signals, it features additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and digital signal processing. Lathi emphasizes the physical appreciation of concepts rather than the mere mathematical manipulation of symbols. Avoiding the tendency to treat engineering as a branch of applied mathematics, he uses mathematics to enhance physical and intuitive understanding of concepts, instead of employing it only to prove axiomatic theory. Theoretical results are supported by carefully chosen examples and analogies, allowing students to intuitively discover meaning for themselves.
Reviews
Prof. J. K. Tugnait, Auburn University
This is a very well written book (as are all books by Lathi). Various concepts are carefully developed and explained. The author tries to be rigorous without being formal, yet maintains an easy intuitive style that is particularly useful for juniors. (There are) lots of intuitive explanations with physical insights.... a must for an average junior. Examples, exercises, problems, and illustrations are done very well and are quite useful for self-study. (Historical notes) are a nice touch. Makes the material interesting and human. (Background chapter) is a nice feature.
Prof. Dwight Da Read more...
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more...
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more...
Self-contained text covering practical image processing methods and theory for image texture analysis.
Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers.
With a wholly practical approach and many worked examples, Image Processing: Dealing with Texture is a comprehensive guide to these techniques, including chapters on mathematical morphology, fractals, Markov random fields, Gabor functions and wavelets. Structured around a series of questions and answers, enabling readers to easily locate information on specific problems, this book also:
* provides detailed descriptions of methods used to analyse binary as well as grey texture images
* presents information on two levels: an easy-to-follow narrative explaining the basics, and an advanced, in-depth study of mathematical theorems and concepts
* looks at 'good' and 'bad' image processing practice, with wrongly designed algorithms illustrating 'what not to do'
* includes an accompanying website, setting out all algorithms discussed within the text.
An ideal self-teachin Read more...
This title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.
More than 200 programs and functions are provided in the MATLABR language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. Read more...
This title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.
More than 200 programs and functions are provided in the MATLABR language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. Read more...
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more...
Self-contained text covering practical image processing methods and theory for image texture analysis.
Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers.
With a wholly practical approach and many worked examples, Image Processing: Dealing with Texture is a comprehensive guide to these techniques, including chapters on mathematical morphology, fractals, Markov random fields, Gabor functions and wavelets. Structured around a series of questions and answers, enabling readers to easily locate information on specific problems, this book also:
* provides detailed descriptions of methods used to analyse binary as well as grey texture images
* presents information on two levels: an easy-to-follow narrative explaining the basics, and an advanced, in-depth study of mathematical theorems and concepts
* looks at 'good' and 'bad' image processing practice, with wrongly designed algorithms illustrating 'what not to do'
* includes an accompanying website, setting out all algorithms discussed within the text.
An ideal self-teachin Read more... 
It has been more than twenty years since desktop publishing reinvented
design, and it’s clear that there is a growing need for designers and
artists to learn programming skills to fill the widening gap between
their ideas and the capability of their purchased software.
This book is an introduction to the concepts of computer programming within the
context of the visual arts. It offers a comprehensive reference and text
for Processing (www.processing.org), an open-source programming language
that can be used by students, artists, designers, architects,
researchers, and anyone who wants to program images, animation, and
interactivity. The ideas in Processing have been tested in classrooms,
workshops, and arts institutions, including UCLA, Carnegie Mellon, New
York University, and Harvard University. Tutorial units make up the bulk
of the book and introduce the syntax and concepts of software (including
variables, functions, and object-oriented programming), cover such
topics as photography and drawing in relation to software, and feature
many short, prototypical example programs with related images and
explanations. More advanced professional projects from such domains as
animation, performance, and typography are discussed in interviews with
their creators. “Extensions� present concise introductions to further
areas of investigation, including computer vision, sound, and
electronics. Appendixes, references to other material, and a glossary
contain additional technical details. Processing can be used by reading
each unit in order, or by following each category from the beginning of
the book to the end. The Processing software and all of the code
presented can be downloaded and run for future exploration. With essays
by: Alexander R. Galloway, Golan Levin, R. Luke DuBois, Simon Greenwold,
Francis Li, and Hernando Barragán and interviews with Jared Tarbell,
Martin Wattenberg, James Paterson, Erik van Blockland, Ed Burton, Josh
On, Jürg Lehni, Auriea Harvey and Michaël Samyn, Mathew Cullen and Grady
Hall, Bob Sabiston, Jennifer Steinkamp, Ruth Jarman and Joseph Gerhardt,
Sue Costabile, Chris Csikszentmihályi, Golan Levin and Zachary
Lieberman, and Mark Hansen.
Download link
http://depositfiles.com/files/1928129
http://rapidshare.com/files/59352267/0262182629.zip

This book brings together everything you need to achieve superior results with PC-based image processing and analysis. Expert Thomas Klinger combines a highly accessible overview of the field's key concepts, tools, and techniques; the first expert introduction to NI's breakthrough IMAQ Vision software; and several start-to-finish application case studies. You also get an extensive library of code and image samples, as well as a complete trial version of IMAQ Vision for Windows®. Coverage includes:
* Defining what to measure and how to measure it
* Acquiring images: working with CCDs, cameras, frame grabber cards, and leading medical image sources, including ultrasound, CT, and MRI
* Distributing images: compression techniques, image format standards, and DICOM medical imaging
* Processing images: gray-scale operations, spatial image filtering, frequency filtering,
* and morphology functions
* Analyzing images: pixel value and quantitative analyses, shape and pattern matching, bar codes, and more
With 300+ figures and 50+ exercises-all listed up front for easy access-this is the definitive image processing tutorial for every professional.
The accompanying CD-ROM contains IMAQ Vision multimedia demonstration software, plus an evaluation version of NI's Vision Builder for Automated Inspection evaluation software for Windows 98/NT/Me/2000/XP. It also contains application examples, color images, and code examples-including several open source, platform-independent VIs.
Publisher: McGraw-Hill Professional; 1 edition
Publisher: Springer; 1 edition