This book provides a modern and self-contained introduction to digital signal processing (DSP). It is supplemented by a vast number of end-of-chapter... problems such as worked examples, drill exercises, and application oriented problems that require the use of computational resources such as MATLAB. Also, many figures have been included to help grasp and visualize critical concepts. Results are tabulated and summarized for easy reference and access. The text also provides a broader perspective to the content by introducing useful applications and additional special topics in each chapter. These form the background for more advanced graduate courses.

This book explores sixteen contemporary issues in science education by examining the practical dilemmas these issues provoke for teachers. It is a... unique book which presents student-teachers with personal and professional insights into a whole range of science topics including the laws of science, teaching ethics, laboratories and culture, gender and ethnicity.Each chapter takes as its focus one of the sixteen issues and begins with a case-study of a science lesson written by a practising teacher. This is followed by a short, reflective piece by the same teacher on how the lesson went and how opportunities for teaching and learning could be improved. This reflection is followed by commentaries from some of the world's leading science educators on what they felt were the strengths and weaknesses of the lesson.The extensive use of teacher-written case studies and commentaries will make this book suitable for the pre-service courses, where case methods are typically used to provide a context for learning the craft of teaching. The addition of commentaries from distinguished scholars makes the book relevant for postgraduate courses in science education and as a reference volume for teacher researchers.

Now in a new edition—the most comprehensive, hands-on introduction to digital signal processingThe first edition of Digital Signal Processing and... Applications with the TMS320C6713 and TMS320C6416 DSK is widely accepted as the most extensive text available on the hands-on teaching of Digital Signal Processing (DSP). Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version (3.1) of Texas Instruments Code Composer Studio (CCS) development environment. Maintaining the original's comprehensive, hands-on approach that has made it an instructor's favorite, this new edition also features:Added program examples that illustrate DSP concepts in real-time and in the laboratoryExpanded coverage of analog input and outputNew material on frame-based processingA revised chapter on IIR, which includes a number of floating-point example programs that explore IIR filters more comprehensivelyMore extensive coverage of DSP/BIOSAll programs listed in the text—plus additional applications—which are available on a companion CD-ROMNo other book provides such an extensive or comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making this an ideal text for DSP courses at the senior undergraduate and postgraduate levels. It also serves as a valuable resource for researchers, DSP developers, business managers, and technology solution providers who are looking for an overview and examples of DSP algorithms implemented using the TMS320C6713 and TMS320C6416 DSK.

Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view. The past... ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which are of particular relevance to industry such as adaptive filtering and multirate processing. The emphasis throughout the book is on the practical aspects of DSP.

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog... Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software. *Covers all major DSP topics*Full of insider information and shortcuts*Basic techniques and algorithms explained without complex numbers

Bridging the gap between Digital Signal Processing theory and design, this implementation-oriented textbook is based on the authors' extensive... experience in teaching graduate and undergraduate courses on the subject. The objective of the book is to help students understand the architecture, programming, and interfacing of commercially available programmable DSP devices, and to effectively use them in system implementations. Throughout the book, the authors utilize a popular family of DSP devices, viz., TMS320C54xx from Texas Instruments. In the end, students will be comfortable in using both hardware and software for designing with the programmable DSP devices.

This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and... conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. Features include:* Real-time implementation of DSP algorithms using DSP processors* MATLAB programs for simulations and C programs for real-time DSP * Coverage of adaptive filtering with applications to noise reduction and echo cancellation* Applications of DSP to multimedia applications - such as u-law and adaptive differential pulse code modulation, sampling rate conversions, transform coding, image and video processing - show the relevance of DSP to a key area in industry* MATLAB programs, student exercises and Real-time C programs available at http://books.elsevier.com/companions/9780123740908This text gives students in electronics, computer engineering and bioengineering an understanding of essential DSP principles and implementation, demonstrating how the subject is fundamental to engineering as practiced today."Professor Tan has written a comprehensive introduction to DSP, not lacking in theory and yet suitable for tech school as well as senior-level university courses. With this text one can move through all the main areas of modern DSP, learn the theory, and see plenty of illustrations in terms of hardware and software. It's an excellent reference for our present age, in which DSP has applications in practically every area of technology." - Samuel D. Stearns, Research Professor of Electrical and Computer Engineering, University of New Mexico *Covers DSP principles and hardware issues with emphasis on applications and many worked examples*Website with MATLAB programs for simulation and C programs for real-time DSP*End of chapter problems are helpful in ensuring retention and understanding of what was just read

This book combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing... DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW's highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time.Features . The only DSP laboratory book that combines textual and graphical programming. 12 lab experiments that incorporate C/MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature. Lab experiments covering basic DSP implementation topics including sampling, digital filtering, fixed-point data representation, frequency domain processing. Interesting applications using the hybrid programming approach, such as a software-defined radio system, a 4-QAM Modem, and a cochlear implant simulator. CD providing all the lab codesNasser Kehtarnavaz is Professor of Electrical Engineering at University of Texas at Dallas. He has written numerous papers and five other books pertaining to signal and image processing, and regularly teaches digital signal processing laboratory courses, for which this book is intended. Among his many professional activities, he is Coeditor-in-Chief of Journal of Real-Time Image Processing, and Chair of the Dallas Chapter of the IEEE Signal Processing Society. Dr. Kehtarnavaz is a Fellow of SPIE, a Senior Member of IEEE, and a Professional Engineer. * The only DSP project book that combines textual and graphical programming * 12 Lab projects that incorporate MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature.* Interesting applications such as the design of a cochlear implant simulator and a software-defined radio system.

An up-to-the-minute textbook for junior/senior level signal processing courses and senior/graduate level digital filter design courses, this text is... supported by a DSP software package known as D-Filter which would enable students to interactively learn the fundamentals of DSP and digital-filter design. The book includes a free license to D-Filter which will enable the owner of the book to download and install the most recent version of the software as well as future updates.

Designed for a first course in digital signal processing, Digital Signal Processing: Spectral Computation and Filter Design covers two major topics: the... computation of frequency contents of signals and the design of digital filters. While it focuses on basic ideas and procedures and covers the standard topics in the field, this unique text distinguishes itself from competing texts by extensively employing the fast Fourier transform (FFT). Part 1: Spectral Computation deals with continuous-time (CT), discrete-time (DT), and digital signals; CT and DT Fourier series (frequency components); CT and DT Fourier transforms (frequency spectra); and discrete Fourier transform (DFT) and fast Fourier transform (FFT). Part 2: Digital Filter Design discusses linear time-invariant lumped systems; ideal and practical digital filters; design of FIR digital filters; design of IIR filters; and structures of digital filters. Digital Signal Processing covers numerous topics not found in similar texts. It: · Establishes a simplified version of the sampling theorem for periodic signals · Uses FFT to compute frequency spectra of DT and CT signals and inverse FFT to compute DT and CT signals from their frequency spectra · Employs FFT to compute the inverse z-transform · Covers steady-state and transient responses of digital filters and gives an estimated time for a transient response to die out · Gives a mathematical justification for using an antialiasing analog filter in digital signal processing · Introduces a discrete least-squares method to design FIR filters · Presents an analog bandstop transformation that yields better results than ones generated by MATLAB® Digital Signal Processing features careful definitions of all terminology and a wealth of examples and problems. All numerical examples and most end-of-chapter problems are simple enough to be solved analytically by hand; these results can then be compared with the computer-generated solutions. MATLAB® is an integral part of the text.

In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly... expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.

Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing ProblemsWith its active, hands-on learning approach, this text... enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges.Following an introductory chapter, the text explores: Sampled signals and digital processing Random signals Representing signals and systems Temporal and spatial signal processing Frequency analysis of signals Discrete-time filters and recursive filtersEach chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth.Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.

Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written... with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.

A complete, full-color guide to all the elements of dSLR photographyIf you have a digital SLR camera, you’ll find everything you need in this... full-color reference to help you get the best results. Ten self-contained minibooks cover the basics of dSLR photography and address camera models from the five leading dSLR manufacturers. Topics include lenses, exposure, lighting, composition, processing and editing, a guide to manufacturers and systems, and a guide to camera settings, plus separate minibooks covering video and high dynamic range (HDR) photography.This full-color volume covers all the key elements essential to good photography as well as the basics of camera bodies and lenses, dSLR workflow, and advice on the best camera settings to use for different situationsCovers lighting, composition, and exposure as well as macro and telephoto lensesFeatures minibooks on video, HDR photography, processing and editing images, and a guide to leading camera manufacturers and systemsDigital SLR Photography All-in-One For Dummies replaces an entire shelf of digital photography books and helps you get the photos you dream of.